DataLab: The Materials Informatics Podcast

Welcome to DataLab: The Materials Informatics Podcast. In DataLab, we’ll help you navigate the world of Materials Informatics, or MI. We interview leaders in government, industry and academia who are pushing the frontier of materials informatics. We will cover technology issues such as the software infrastructure underpinning MI, as well as human issues such as what kind of team you need to be successful with MI.

010 Dr. Cynthia Arnold - The business case for materials informatics 07/11/2019

010 Dr. Cynthia Arnold - The business case for materials informatics 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: Website: /episode/index/show/datalabmi/id/10407929

009 Mayor of Pittsburgh Bill Peduto - Building a Technology Hub for All 06/06/2019

008 Joerg Hellwig - Digital Transformation in the Materials and Chemicals Industry 05/09/2019

007 Prof. Kristin Persson of the Materials Project – Building a Global Materials Informatics Platform 04/04/2019

007 Prof. Kristin Persson of the Materials Project – Building a Global Materials Informatics Platform 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: Website: /episode/index/show/datalabmi/id/9100640

006 Dr. Peter Murray-Rust - Promoting Open Science Through Advocacy, Software, & Community Building 03/07/2019

006 Dr. Peter Murray-Rust - Promoting Open Science Through Advocacy, Software, & Community Building 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: 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: Website: /episode/index/show/datalabmi/id/8879891

005 Prof. John Mauro - Developing a Data-Driven Materials Workforce 02/07/2019

005 Prof. John Mauro - Developing a Data-Driven Materials Workforce 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: 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: Website: Please send comments, questions, and topics for upcoming episodes to [email protected]. /episode/index/show/datalabmi/id/8551184

004 Prof. Jillian Buriak - Publishing, Open Data, and Informatics in Materials Research 01/10/2019

004 Prof. Jillian Buriak - Publishing, Open Data, and Informatics in Materials Research 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: Website: 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: Website: Please send comments, questions, and topics for upcoming episodes to [email protected]. /episode/index/show/datalabmi/id/8199911

003 Dr. Chris Wolverton - Defining Materials Informatics 12/06/2018

003 Dr. Chris Wolverton - Defining Materials Informatics 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: LinkedIn: 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: Website: Please send comments, questions, and topics for upcoming episodes to [email protected]. /episode/index/show/datalabmi/id/7814996

002 Dr. Jim Warren and the Materials Genome Initiative 11/15/2018

002 Dr. Jim Warren and the Materials Genome Initiative This episode focuses on the importance of materials data to the materials informatics process, as well an update on the . 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: & & LinkedIn: 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: Website: Please send comments, questions, and topics for upcoming episodes to [email protected]. /episode/index/show/datalabmi/id/7565324

001 Introducing DataLab - The Materials Informatics Podcast 11/15/2018

DataLab: The Materials Informatics Podcast

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