Monday, September 25th, 2023
6:00-8:00 PM (EST)

Dr. Peter Schindler
Professor
Department of Mechanical & Industrial Engineering
Northeastern University

"Revolutionizing the Discovery of Materials Through AI"

Lord Hobo Brewing Company
5 Draper Street
Woburn, MA 01801

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Abstract
Data-driven materials science often titled the “4th paradigm”, has opened an avenue towards material dis­covery through statistically driven machine learning approaches. Due to the continued increase in computing power and improvements of theoretical methods, the accuracy of predicted material properties has reached reliability comparable to experiments while significantly surpassing them in terms of speed and cost. This gave rise to a rapid increase in available open-source material databases, facilitating material discovery at an un­precedented pace.
In this talk, I will describe how a data-driven approach can facilitate discovering new materials with tuned properties and how AI can be a powerful tool to augment (however not replace) our physics/chemistry-based intuition. To illustrate these concepts, I will describe how my research enables the discovery of new ultra-low work function materials for thermionic energy conversion. I will demonstrate that creating data by high-throughput quantum chemistry calculations forms the basis on which a statistically driven machine learning model can be established. This model can then predict the property of interest with an accuracy comparable to the first principles calculations while being significantly less computationally expensive. Further, I will provide my perspective of where I see the machine learning paradigm in materials science and sustainable energy in the near future.​
About the Speaker
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Prof. Peter Schindler
Department of Mechanical & Industrial Engineering
Northeastern University


Dr. Peter Schindler is an assistant professor at Northeastern University (Department of Mechanical & Industrial Engineering). He’s leading the Data-Driven Renewables Research (D2R2) group that seeks to discover novel materials for renewable energy applications using high-throughput, quantum chemistry calculations, and data-driven materials property predictions. Prior to joining Northeastern he was a senior scientist at Aionics, a startup that has become a recognized leader in the field of battery informatics, by co-innovating with battery manufacturers through AI and high-performance computing. During his postdoctoral research at the University of Vienna and Stanford University, his research established renewable energy materials both computationally and experimentally, for which he was awarded the Erwin-Schrödinger fellowship by the Austrian Science Fund (FWF). He received his Ph.D. in physics from the University of Vienna working on semiconductor synthesis and characterization. His expertise in both experimental synthesis and computational materials simulations enables him to carry out cutting-edge research at the intersection of the two fields
Technical Program
6:00 p.m.: Arrival, Registration, Social, Dinner Will be Served
6:30 p.m.: "Revolutionizing the Discovery of Materials Through AI" by Dr. Peter Schindler
7:15 p.m.: Social & Networking
8:00 p.m.: Adjourn
Location & Directions
Lord Hobo Brewing Company 
5 Draper Street
Woburn, MA 01801
In-Person Registration (closed)

    Registration for Virtual Attendance

    Virtual meeting information will be sent one day prior to the meeting.
Upcoming ASM Boston Events!
April 18th: Dr. Elizabeth Hoffman of SRNL on A View into National Laboratory Materials Science Research"
May 23rd: Dr. Krassimir Marchev of Northeastern University on Nanocoating Technology
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Check our 2023-2024 Technical Program for more events!

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