Podcasts about citrine informatics

Greg Mulholland, founder and CEO of Citrine Informatics, shares his perspective on how artificial intelligence (AI) is increasingly affecting the coatings industry and others linked to materials protection and performance. Discussion topics include development processes influenced by AI; feedback from industrial users; strategies for using AI to adapt to industry trends and new regulations; what the future evolution of AI may look like; and available resources to learn more.

Few stories in the world of technology and entrepreneurship demonstrate resilience, constantly reinventing technology and lessons learned from hard-fought battles better than that of Greg Mulholland, founder of Citrine Informatics. Greg's story is a valuable resource for entrepreneurs facing similar challenges in building a lasting company in an old-line industry like chemicals and materials. Citrine has attracted funding from top-tier investors like DRIVE Catalyst, Innovation Endeavors, DCVC (Data Collective), and Universal Materials Incubator.

A lot of climate tech investors are still trying to figure out how to invest in artificial intelligence. Will it become a unique investment category? Or just a natural enhancement of what many startups are already building? There's an emerging class of startups that wouldn't exist without AI. Citrine Informatics is using generative AI to speed up discovery of new materials; Koloma is using AI to identify potential sources of geologic hydrogen; and Zanskar is using AI to accelerate and derisk geothermal exploration. Andrew Beebe, managing director at Obvious Ventures, thinks that AI is pushing the “edge of the possible” in climate tech. He recently led a $30 million Series B round in Zanskar, calling it “generative science at work.” “I think generative science is the next phase…it is going to shorten the distance to some of these massive solutions,” in batteries, solar, nuclear, and geothermal, said Beebe, speaking on The Carbon Copy. “Zanskar doesn't have special drilling technology. They don't have new fluids or new Rankin cycle systems on the top. They literally just have a better way to look for geothermal because in America.” This week, Beebe joins the show to riff on AI-driven climate solutions, the need for more clean, firm power to meet rising power demand, and a variety of other tech trends that are shaping what he calls “the climate decade.” Utility rates could make or break the energy transition – so how do we do it right? On June 13th, Latitude Media and GridX are hosting a Frontier Forum to examine the imperative of good rate design, and the consequences of getting it wrong. Register here. And make sure to listen to our new podcast, Political Climate – an insider's view on the most pressing policy questions in energy and climate. Tune in every other Friday for the latest takes from hosts Julia Pyper, Emily Domenech, and Brandon Hurlbut. Available on Apple, Spotify, or wherever you get your podcasts.

Bryce Meredig of Citrine Informatics talks about leadership and the business of science. OUTLINE (00:00) Introduction (00:28) Career path (02:06) Academia vs. business (03:15) Deeptech startups vs others (04:48) Integrating science and business (06:08) How to overcome challenges with integration (07:27) Scientific leadership (10:00) Group and organizational dynamics (11:20) Leadership qualities (13:10) Interaction between scientists and non-scientists (15:42) Managing conflict and fostering cohesion (22:10) Effective communication  (29:10) Mistakes (33:05) Future

Artificial intelligence is quickly accelerating drug discovery, healthcare services, product design, and manufacturing efficiency. Now it's here for materials development – and it could be one of the most influential uses of AI in energy. A decade ago, Greg Mulholland started playing around with machine learning as a way to accelerate product development of materials inside LEDs. After seeing its potential – and witnessing the rapid evolution of AI – he co-founded Citrine Informatics. Citrine built an AI platform that helps researchers advance cutting-edge materials for use in solar cells, batteries, electric cars, and more. “It allows us to move through generations of materials discovery so much faster that we're not just incrementally improving things, but we're actually driving forward the whole industry and raising the bar on ourselves in a pretty exciting way,” says Greg. This week: Greg Mulholland, CEO of Citrine Informatics, describes the many ways that artificial intelligence is pushing the performance of clean energy and climate technologies – and helping clean up the materials that make up the world around us. Subscribe to Latitude Media's newsletter to get all our news coverage and podcasts on the industry straight to your inbox. Sign up for Latitude Media's Frontier Forum on January 31, featuring Crux CEO Alfred Johnson, who will break down the budding market for clean energy tax credits. We'll dissect current transactions and pricing, compare buyer and seller expectations, and look at where the market is headed in 2024.

Wed, 15 Feb 2023 04:45:00 +0000 https://jungeanleger.podigee.io/623-borsepeople-im-podcast-s5-05-julia-reilinger c8d9fed6e1ebfe3ab1f70987e79eb895 Julia Reilinger ist seit Jänner 2023 Mitglied der Dreier-Geschäftsführung der B&C Innovation Investments mit Schwerpunkt auf Industrial Tech. Mit ihrem Team ist sie vor allem für die Entwicklung des Portfolios mit den Beteiligungen Awake Mobility, Citrine Informatics, contextflow, Flightkeys, Frequentis, Kinexon, klarx, Kreatize, Trilite und TTTech zuständig. Wir gehen diese 10 Innovation Investments durch und beim börsennotierten Case Frequentis halten wir uns ein bisschen länger auf. Wir sprechen über die Strategie und Goals der B&C Innovation Investments, bei der Julia seit 2017 tätig ist, aber auch über Early Days in der Schulzeit mit spannendem Wirtschaftsfacetten, dann an der WU mit Schwerpunkten Bildungsmanagent und Controlling bzw. neben dem Studium im Bereich der Personal- und Managementberatung. Schön ist u.a., dass die B&C Innovation Investments keinen Stress mit Exits hat. https://bcgruppe.at/innovation-investments/ About: Die Serie Börsepeople findet im Rahmen von http://www.audio-cd.at und dem Podcast "Audio-CD.at Indie Podcasts" statt. Es handelt sich dabei um typische Personality- und Werdegang-Gespräche. Die Season 5 umfasst unter dem Motto „23 Börsepeople“ wieder 23 Talks Presenter der Season 5 ist die Freisinger Holding AG. Welcher der meistgehörte Börsepeople Podcast ist, sieht man unter http://www.audio-cd.at/people. Nach den ersten drei Seasons führte Thomas Tschol und gewann dafür einen Number One Award für 2022. Der Zwischenstand des laufenden Rankings ist tagesaktuell um 12 Uhr aktualisiert. Bewertungen bei Apple (oder auch Spotify) machen mir Freude: https://podcasts.apple.com/at/podcast/audio-cd-at-indie-podcasts-wiener-börse-sport-musik-und-mehr/id1484919130 . 623 full no Christian Drastil Comm.

In the 3+ years that M4Edge has been around, we've aired over 50 episodes and, as listeners know, we usually ask our guests to give us their view of the future 20 years hence. Sometimes the answers are somewhat expected, sometimes they're a little humorous, and sometimes they're deeply thought provoking. As a holiday present, this episode offers a compilation of some of our favorites. We won't go so far as to say that this is a "best of" set, since we left out some great ones. But we've reached across the catalog, from our very first to our most recent episode, and offer you here some of our guests' views on the future of manufacturing, material design, food and agriculture, artificial intelligence, human resources, business analytics, robotics, clean energy, autonomous driving ... you know, M4Edge stuff. Stay tuned and stay curious as we retool our show in 2022!

Machine Learning and Artificial Intelligence are buzzwords that have infiltrated the materials science space, as many believe these tools will change the field as we know it. We've seen previous guests strongly recommend learning about ML models in order to become more efficient materials scientists, but with that, we have to realize the limitations of ML and AI as well. Before we introduce today's guest, check out our free professional development guide for materials scientists and engineers! Today's guest is Chris Borg, Research Scientist at Citrine Informatics. In this episode, he explains materials informatics and applications of machine learning in MSE. In this conversation, we discuss the following topics: What is materials informatics? The limitations of machine learning and artificial intelligence How ML can facilitate improved materials selection Will machine learning ever fully replace materials scientists? The challenge of differentiating “good” and “bad” data points The process of using AI in MSE-related applications Machine learning advice for future materials engineers Reach out to Chris:  https://www.linkedin.com/in/ckborg/ Special thanks to Matmatch for sponsoring this episode! Visit their website at www.matmatch.com.    Join our Discord community! You can meet other passionate materials scientists and engineers from around the world, discuss the latest breakthroughs in MSE, share materials-related memes, and get career advice from experts in the field. For shorter segments and full video podcasts, subscribe to our channel on YouTube. For bloopers, audiograms, and interesting materials science articles, follow us on Instagram, LinkedIn, and Twitter. Feel free to message us on our social media platforms if you have any feedback or recommendations for future episodes, or email us directly at itsamaterialworldpodcast@gmail.com. Finally, reach out to David Yeh and Punith Upadhya on LinkedIn if you'd like to chat about the latest breakthroughs in MSE! Disclaimer: Any opinions expressed by either guests or hosts in this show are their own, and do not represent the opinions of the companies or organizations for which they are affiliated.

In this episode of Innovation Insights, Emerald's Sector Specialist Graham Carey discusses 'Materials informatics' with Julia Ling, Chief Technology Officer at Citrine Informatics. For more information contact us at www.emerald-ventures.com #innovationinsights #openinnovation #venturecapital

Great chat with Greg Mulholland, CEO and Co-founder of Citrine Informatics as AI Platform for materials development. We discussed:The early days of Citrine, how they powered through some low timesThe massive opportunity of applying machine learning to applied materials scienceWhether cleantech was becoming mainstream for VCsHow data regulation like GDPR compares to regulation in the materials spaceHow MBAs can be a form of identity, Whether we will see explicit geoengineering in the near futureAnd the potential of superconductors generating future Nobel prizesAnd much more!

We’re closing out our first season with three bonus episodes. In each of these bonus episodes, we check-in with our first three guests on the show, Greg Mulholland of Citrine Informatics, Dipanwita Das of Sorcero and Randy Altschuler of Xometry. Innovation is moving faster than ever, so we want to keep the pulse of the market and see how much progress our guests are making. It’s been a year since we first interviewed these companies, and each has had a banner year. In this episode, we catch up with Randy Altschuler of Xometry, a Manufacturing-as-a-Service platform. Randy was one of our first guests on M4Edge, and over the past year Xometry has experienced tremendous growth, has raised another important round of funding, has expanded its global footprint including with a new partnership with China’s Alibaba, and developed a new service to help its partners procure materials and parts more cheaply and efficiently. Randy talks us through what this means for Xometry, and how Manufacturing-as-a-Service is helping companies deal with the increased uncertaintyand more frequent shocks that characterize the global environment—and how hopefully it will help address climate change through more efficient supply chains. Enjoy the episode, Happy holidays and ... Please write us a review!

We’re closing out our first season with three bonus episodes. In each of these bonus episodes, we check-in with our first three guests on the show, Greg Mulholland of Citrine Informatics, Dipanwita Das of Sorcero and Randy Altschuler of Xometry. Innovation is moving faster than ever, so we want to keep the pulse of the market and see how much progress our guests are making. It’s been a year since we first interviewed these companies, and each has had a banner year. In this episode, we catch up with Dipanwita Das of Sorcero. You might remember that Sorcero leverages AI to improve knowledge management and learning within companies. Our first episode was rich with Sci-Fi references, and this update does not disappoint: Dipanwita kicks it off talking about dragons… In the year since we first spoke, Sorcero has gone from four employees to fourteen, raised VC funding, and is not part of the Plug and Play accelerator program, the same that helped Paypal and Dropbox get off the ground. Dipanwita talks about Sorcero’s focus on Natural Language Processing, and the prospects for AI to replace experts – a topic where Marco finds himself veering closer to Michael’s pessimism. Enjoy the episode, Happy Holidays and ... PLEASE write us a review on Apple Podcasts!

We’re closing out our first season with three bonus episodes. In each of these bonus episodes, we check-in with our first three guests on the show, Greg Mulholland of Citrine Informatics, Dipanwita Das of Sorcero and Randy Altschuler of Xometry. Innovation is moving faster than ever, so we want to keep the pulse of the market and see how much progress our guests are making. It’s been a year since we first interviewed these companies, and each has had a banner year. In this update episode we catch up with our very first guest, Greg Mulholland of Citrine Informatics, a company that leverages AI to accelerate progress in materials science. Citrine encapsulates the nature of the digital-industrial revolution, the merging of bits and atoms, digital and physical innovation. Greg talks us through Citrine’s impressive progress over the last twelve months, including new funding and partnerships with major industrial companies. We discuss how AI is playing a more and more important role across the board; Greg points out breakthroughs not just in new materials, but also in new use cases for existing materials; and he stresses the importance of R&D as a strategic long-term play forcompanies. Enjoy the episode, Happy holidays and ... Please write us a review!

In this episode, Dr. Bryce Meredig and Dr. Arnold discuss: The business case for adopting data-driven methodologies and materials informatics within materials and chemicals organizations Suggestions for kicking off digital initiatives within materials and chemicals organizations Cynthia’s wide-ranging career in the materials industry, and her perspective on the impact that data-driven R&D can have on the pace of innovation within an organization The similarities between Six Sigma and materials informatics adoption and implementation How materials informatics and a data strategy can help facilitate knowledge transfer within an organization   “Start with where you have problems and opportunities, and ask what data can support delivery on these solutions and these opportunities.”  – Dr. Cynthia Arnold   Dr. Cynthia Arnold spent an over 30 year career in materials industries, leading technology development and innovation and marketing partnerships for diverse applications including medical, automotive, aerospace, electronics, building and construction and printing.  She most recently served as the Chief Technology Officer of the Valspar Corporation and as the Senior Vice President of Global Technology for Sherwin Williams, where she was responsible for a world-wide team of 1100 staff developing paints, coatings and associated technologies and services.  Prior to Valspar, Cynthia was the Chief Technology Officer at Sun Chemical, a leading producer of inks and pigments. Prior to that, she held technical leadership positions at Eastman Chemical and General Electric.   She served as a Sloan Executive Science & Engineering Fellow in the White House Office of Science & Technology Policy for several years, focused on industry-government technology alliances.  She is currently a member of the Advisory Committee of the University of Minnesota’s Department of Chemical Engineering & Materials Science; a Board member of the Minnesota Zoo; and serves in advisory and consulting roles for a number of materials companies, including Carbon, Cabot, Citrine Informatics, and Milliken.   Dr. Bryce Meredig, is the host of DataLab: The Materials Informatics Podcast, and Chief Science Officer and co-founder of Citrine Informatics. Dr. Meredig researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Dr. Bryce Meredig: Twitter: @brycemeredig Website: Citrine.io

Summary: Mayor Bill Peduto provides an overview of the history of Pittsburgh’s connection to advanced analytics and technology, and talks about why Pittsburgh has become a hub for artificial intelligence innovation. In this episode, Bryce and Mayor Peduto discuss: Pittsburgh’s transformation into a city at the forefront of AI, robotics, technology, and green energy How AI and big data have played a role in transforming Pittsburgh into a smart city How Mayor Peduto got involved with public service and Pittsburgh politics The role of education and training in encouraging Pittsburgh’s industrial and economic innovation The P4 framework - people, planet, place and performance - and its role in the changing landscape of Pittsburgh’s economy How the Mayor and the City of Pittsburgh use data to drive policy Pittsburgh’s approach to attracting and retaining a talented workforce “The transformation from a steel city to a modern manufacturing and technology hub happened over decades starting with the first robotics program at Carnegie Mellon in the 1970’s.” Mayor William Peduto was elected to the office of Mayor of the City of Pittsburgh in the General Election on November 5, 2013, and took office as Pittsburgh’s 60th Mayor in January of 2014. Prior to taking office, he worked for 19 years on Pittsburgh City Council - seven years as a staffer then twelve years as a Member of Council. Since taking office, Mayor Peduto has lead a collaborative effort to make Pittsburgh a leading 21st Century city. The Peduto administration has partnered with the White House on numerous initiatives, resulting in direct access to federal support related to affordable housing, education, economic development, energy efficiency, immigration, manufacturing, community policing, workforce development, technology and transportation. In 2015 Mayor Peduto signed a unique agreement with the U.S. Department of Energy to make the city a world leader in district energy production and Pittsburgh joined the UN's Compact of Mayors, a global coalition of climate leaders committed to local action and global impact. Dr. Bryce Meredig, is the host of DataLab: The Materials Informatics Podcast, and Chief Science Officer and co-founder of Citrine Informatics. Dr. Meredig researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce: Twitter: @brycemeredig Website: Citrine.io

Summary: In this episode, Joerg Hellwig, Chief Digital Officer of LANXESS AG, provides an Industry perspective on how the acceleration of new product development plays a crucial role in a company’s success, and how data is a critical enabler of this acceleration.   In this episode, Dr. Bryce Meredig and Joerg Hellwig discuss: Joerg’s career path and the responsibilities of his current role as a chief digital officer. How “digital transformation” has impacted the materials industry, and how to better integrate technology tools into R&D and manufacturing industries. Which human factors play a role in technology integration in the materials and chemicals industries, and how to change mindsets across an organization in a data-driven approach. How algorithms and machines can free up scientists to spend their time doing creative, critical work within an organization. The critical role that data-driven materials and chemical industries can play in creating a more sustainable world.   “I’m very excited about using data-driven methods to embed recyclability and sustainability into the DNA of materials. We want to use AI to produce products which are both needed by the market and our customers, and fully recyclable.”   “Right now, how fast we can develop new products is unpredictable...we do 50, 100, 150 trials...This is painful, time consuming, and unpredictable...By incorporating data-driven methods, we define a different way of doing things that can change this unpredictability and allow us to gain speed.”   Joerg Hellwig began his career as a commercial trainee at Bayer AG. After spending several years in the US, he returned to LANXESS in Germany to restructure and sell its Synthetic Fibers business. Following an assignment at Reliance Industries in India, he came back as Managing Director of the Pigment business unit at LANXESS. Since 2017 Joerg has led the company’s Digital Transformation Initiative as Chief Digital Officer. The process focus areas include the digitization of production, the introduction of new tools and systems throughout the value chain, promoting the value of data as an institutional asset for the entire company, and the use of advanced analytics such as artificial intelligence to increase the speed of development. Joerg also leads the “New Work” cultural transformation program to support the skill and talent necessary for the transition to a digital organization. As a champion of new technologies at the company, Joerg is also responsible for exploring new business models. As such, he founded the start-up software company CheMondis and served as Managing Director and Supervisory Board member. CheMondis, now independent, has quickly become the leading online marketplace for the chemicals industry. Dr. Bryce Meredig, is the host of DataLab: The Materials Informatics Podcast, and Chief Science Officer and co-founder of Citrine Informatics. Dr. Meredig researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce: Twitter: @brycemeredig Website: Citrine.io

Summary:  This episode focuses on Prof. Kristin Persson’s work directing the Materials Project, where she had her group have built an open-source materials informatics platform that reaches over 75,000 users worldwide.   In this episode, Dr. Bryce Meredig and Prof. Persson discuss: The founding of the Materials Project and how it has grown into a widely used global open-source platform Recruiting and supporting a multidisciplinary group that touches materials science, chemistry, high-performance computing, and scalable web development The motivation for making all Materials Project data, applications, and algorithms open-source Success stories from the scientific community’s use of the Materials Project How researchers can best integrate computational methods with machine learning, lab-based synthesis and characterization, and commercial R&D   “We’re building a community. In the end, the goal [of Materials Project] is to make our data and algorithms available to the public so we can accelerate materials design and accelerate solutions to some of our societal problems in renewable energy.” - Dr. Kristin Persson   Prof. Kristin Persson is the Director of the Materials Project, a Staff Scientist at Lawrence Berkeley National Lab, and an Associate Professor in the Department of Materials Science and Engineering at UC-Berkeley. Known as a pioneer of materials genomics, Kristin co-founded the Materials Project in 2011 with Gerbrand Ceder at MIT. The Materials Project is now a multi-institution, multi-national effort to compute the properties of all known materials and to provide the data, analysis algorithms, and computational materials applications free of charge to the scientific community. The Materials Project aims to accelerate innovation in materials research, and has led to the discovery of new battery materials, transparent conducting oxides, and thermoelectric materials. Prof. Persson is the recipient of the Knut and Alice Wallenberg Early Career Award for Women in Science, the 2013 LBNL Director’s Award for Exceptional Scientific Achievement, and the TMS 2017 Early Career Faculty Fellow Award. She was also a 2018 Kavli Fellow. Dr. Bryce Meredig, is the host of DataLab: The Materials Informatics Podcast, and Chief Science Officer and co-founder of Citrine Informatics.  Dr. Meredig researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce: Twitter: @brycemeredig Website: Citrine.io

Summary:  This episode focuses on Dr. Murray-Rust’s work in advocacy, community building, and software development to create a more open scientific community in chemistry and materials.   In this episode, Dr. Bryce Meredig and Prof. Murray-Rust discuss: How Peter’s research background in crystallography inspired him to lead the development of tools and communities around open science and open data Lessons the materials and chemistry communities can learn from bioscience to create a more open community in scientific publishing The impact that open data and open research can have on accelerated industrial materials development The role of public funding and policymaking on encouraging a more open scientific community The importance of machine-readable data and semantic databases in the physical sciences Dr. Murray-Rust’s non-profit Content Mine, which seeks to unlock scientific data through advocacy, community, and software development   “The multiplying factor of the Human Genome Project was over 100x. For every $1 million invested, it led to over $100 million of value created downstream...There’s no doubt that funding these sorts of things leads to a huge amount of realizable public good.” – Dr. Peter Murray-Rust   Dr. Peter Murray-Rust is the Reader Emeritus in Molecular Informatics at the University of Cambridge and Senior Research Fellow Emeritus of Churchill College, where he brings together tools from computer science to chemistry, biosciences and earth sciences, integrating humans and machines in managing information.   Peter has held multiple faculty positions throughout his career, first as a lecturer at the University of Sterling, and later as Professor or Pharmacy at the University of Nottingham. He also led molecular graphics, computational chemistry, and protein structure determination efforts at the Glaxo Group Research.   In addition to his industrial and academic work in chemistry and molecular informatics, Peter is well-known for his support and work on open access and open data. He led the development of the Chemical Markup Language, co-authored the Panton Principles for Open Scientific data, and co-founded the Blue Obelisk community to promote open data and develop open source cheminformatics tools. In 2014, Dr. Murray-Rust was granted a Shuttleworth Foundation fellowship in support of his work leading the non-profit ContentMine, where he and his team develops tools to mine literature to make scientific data open and accessible. Connect with Prof. Murray Rusk: LinkedIn Faculty Website   Dr. Bryce Meredig, is the host of DataLab: The Materials Informatics Podcast, and Chief Science Officer and co-founder of Citrine Informatics.  Dr. Meredig researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce: Twitter: @brycemeredig Website: Citrine.io

Summary:  This episode highlights opportunities, challenges, and solutions around building a successful cross-functional, data-driven Research and Development team.   In this episode, Dr. Bryce Meredig and Prof. Mauro discuss: Prof.Mauro’s early interest in computer programming, and how that shaped his career Challenges and opportunities for applying data-driven modeling techniques, like machine learning, to materials development Keys to a successful cross-functional materials research and development team The importance of a data-driven culture and strategy for commercial success How to bridge skill gaps within materials science through education, curriculum development, and collaborative research   “A company that has a data-driven culture is going to be much more effective at developing better products, faster, and at a lower cost. [This culture] will be essential for their long-term survival.” – Prof. John Mauro   After earning his PhD in glass science from Alfred University, Prof. John Mauro joined Corning Incorporated, where he eventually became the senior research manager of the Glass Research Department. He is the inventor or co-inventor of several new glass compositions for Corning, including Corning Gorilla® Glass products.Dr. Mauro joined the faculty at Pennsylvania State University in 2017 and is currently a world-recognized expert in fundamental and applied glass science, statistical mechanics, computational and condensed matter physics, thermodynamics, and the topology of disordered networks.  He is the inventor of new models for supercooled liquid and glass viscosity, glass structure and topology, relaxation behavior, and thermal and mechanical properties. He is the author of more than 200 peer-reviewed publications and has given more than 200 presentations at international conferences and seminars. In addition, he is editor of the Journal of the American Ceramic Society.   Connect with Prof. John Mauro: Linkedin: https://www.linkedin.com/in/john-mauro-b6285b58/ Faculty Website: https://www.matse.psu.edu/directory/john-mauro   Dr. Bryce Meredig, Chief Science Officer and co-founder of Citrine Informatics, researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce: Twitter: @brycemeredig Website: Citrine.io   Please send comments, questions, and topics for upcoming episodes to podcast@datalabmi.com.

In this episode, Dr. Bryce Meredig and Prof. Buriak discuss: Prof. Buriak’s perspective on Open Data and its impact on scientific publishing. The influence of machine learning and AI on professional societies. The Buriak Group’s recent research applying ML and informatics to photovoltaic materials research. How Prof. Buriak utilizes Twitter and social media to grow her professional network and learn about new breakthroughs in the scientific community. How Prof. Buriak became actively involved in the scientific publishing realm.   "A journal is more than simply publishing scientific results, we also are the basis of community." — Prof. Jillian Buriak   Dr. Jillian Buriak. is a professor and the Canada Research Chair at the University of Alberta, where she has researched and co-authored over 100 papers on surface chemistry, nanoscience, synthetic materials, and inorganic nanomaterials.   In addition to her work as a professor, Prof. Buriak has been an editor for Science Magazine and ACS Nano and is currently the editor-in-chief of ACS Chemistry of Materials. She is a Fellow of the American Association for the Advancement of Science, the Royal Society of Canada, and the Royal Society of Chemistry in the United Kingdom.   Connect with Dr. Jillian Buriak: Twitter: @JBuriak Website: Buriak Research Group   Dr. Bryce Meredig, Chief Science Officer and co-founder of Citrine Informatics, researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce: Twitter: @brycemeredig Website: Citrine.io   Please send comments, questions, and topics for upcoming episodes to podcast@datalabmi.com.

This episode explores the definition of materials informatics.   In this episode, Dr. Bryce Meredig and Dr. Wolverton discuss: The evolution of Dr. Wolverton’s research and his group’s’ focus on computational materials modeling and machine learning. The challenges and opportunities for computational methods and informatics to accelerate new materials discovery. The different methods and tools the Wolverton Group develops to assist in materials research and development. Applications of machine learning to materials research. The prospects of machine learning and data-driven methods to explain new physics and chemistry.   "I think of Materials Informatics as the application of data-driven tools to solve problems in materials science and engineering. The advent of the field and why we can define it now is because of data." — Dr. Christopher Wolverton   About Dr. Christopher Wolverton: Dr.Christopher Wolverton is the Jerome B. Cohen Professor of Materials Science and Engineering at Northwestern University. Before joining the faculty, he worked at the Research and Innovation Center at Ford Motor Company, where he was group leader for the Hydrogen Storage and Nanoscale Modeling Group. He received his BS in physics from the University of Texas at Austin, his PhD in physics from the University of California, Berkeley, and performed postdoctoral work at the National Renewable Energy Laboratory (NREL). His research interests include computational studies of a variety of energy-efficient and environmentally friendly materials via first-principles atomistic calculations, high-throughput and machine learning tools to accelerate materials discovery, and “multiscale” methodologies for linking atomistic and microstructural scales. He is a Fellow of the American Physical Society.   Connect with Dr. Christopher Wolverton: Profile: Chris Wolverton LinkedIn: Chris Wolverton   About Dr. Bryce Meredig: Bryce Meredig is the Chief Science Officer and co-founder of Citrine Informatics. His research interest is the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying ML to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Bryce Meredig: Twitter: @brycemeredig Website: Citrine.io   Please send comments, questions, and topics for upcoming episodes to podcast@datalabmi.com.

This episode focuses on the importance of materials data to the materials informatics process, as well an update on the Materials Genome Initiative.   In this episode, Dr. Meredig and Dr. Warren discuss: How a shared improv background has surprisingly made a positive impact on their scientific careers and technical communication skills. The history of the Materials Genome Initiative, its role in the materials innovation ecosystem, and its future outlook. Successful models of collaboration between policymakers, national labs, academic research groups, and for-profit companies driving innovation in materials research and development. The role the National Institute of Standards and Technology (NIST) plays as a convener and community builder in the field of data-driven materials science. The importance of high-quality curated data in a materials R&D ecosystem.   “What people really want to see is the advantage of having a data management plan, and that’s where we’re seeing a change. Now, all you have to do is open a journal to see a lot of high-quality articles on data-driven methods and machine learning for materials discovery, and that’s an easier case to make to the community.” - Dr. Jim Warren   About Dr. Jim Warren: Dr. Jim A. Warren is the Technical Program Director for Materials Genomics in the Material Measurement Laboratory of NIST, where he has been a scientist since 1992. He came to NIST after receiving his PhD in Theoretical Physics at the UC Santa Barbara and his BA (also in Physics) from Dartmouth College. In 1995, Jim co-founded the NIST Center for Theoretical and Computational Materials Science. Dr. Warren is currently focused on the Materials Genome Initiative, a multi-agency initiative designed to create a new era of policy, resources, and infrastructure that supports U.S. institutions in the effort to discover, design, develop, and deploy advanced materials twice as fast, at a fraction of the cost.   Connect with Dr. Warren : Website: NIST.gov/people/James-Warren & mgi.gov & mgi.nist.govLinkedIn: James Warren About Dr. Bryce Meredig: Dr. Bryce Meredig, Chief Science Officer and co-founder of Citrine Informatics, researches the application of machine learning to materials science. He earned his PhD in materials science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning (ML) to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Dr. Meredig: Twitter: @brycemeredigWebsite: Citrine.io Please send comments, questions, and topics for upcoming episodes to podcast@datalabmi.com.

In this podcast, Dr. Bryce Meredig, Chief Science Officer and co-founder of Citrine Informatics, introduces our audience to materials informatics. Materials informatics is the use of computational and data-driven methods to inform materials design, research, and development. This podcast will feature interviews with leaders in government, industry, and academia who are at the cutting edge of the materials informatics revolution. Dr. Meredig and guests will discuss the most important issues scientists may face as they use materials data to accelerate materials and chemicals development, such as materials data infrastructure and the kind of team necessary for MI success.    About Dr. Bryce Meredig: Dr. Bryce Meredig, Chief Science Officer and co-founder of Citrine Informatics, researches the application of machine learning to materials science. He earned his PhD in Materials Science from Northwestern University, where he focused on materials informatics, and his BAS and MBA at Stanford University, where he is also on the faculty of the Department of Materials Science and Engineering. He is the author of more than 20 peer-reviewed publications, including some of the earliest on applying machine learning to materials development. He was an Arjay Miller Scholar and Terman Fellow at Stanford, and a Presidential Fellow and NDSEG Fellow at Northwestern.   Connect with Dr. Bryce Meredig: Twitter: @brycemeredigWebsite: Citrine.io Please send comments, questions, and topics for upcoming episodes to podcast@datalabmi.com.

In our inaugural episode we talk with Greg Mulholland, CEO of Citrine Informatics. Citrine uses Artificial Intelligence to accelerate the discovery and development of new materials–from years to days! Inventing new materials has always been key to humanity’s progress, allowing us to build computers, space rockets, and more.

In this episode I’m joined by Greg Mulholland, Founder and CEO of Citrine Informatics, which is applying AI to the discovery and development of new materials. Greg and I start out with an exploration of some of the challenges of the status quo in materials science, and what’s to be gained by introducing machine learning into this process. We discuss how limitations in materials manifest themselves, and Greg shares a few examples from the company’s work optimizing battery components and solar cells. We dig into the role and sources of data used in applying ML in materials, and some of the unique challenges to collecting it, and discuss the pipeline and algorithms Citrine uses to deliver its service. This was a fun conversation that spans physics, chemistry, and of course machine learning, and I hope you enjoy it. The notes for this show can be found at twimlai.com/talk/148.