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Panjin Campus Science & Technology Seminar with Professor Michael Janik

Date: Sunday, 16th February 2025, 9:00-11:25

Location: This seminar is in person only in D01-201, School of Chemical Engineering, Ocean and Life Sciences.

Time

Speaker

Activity / Topic

9:00-9:05

Xinwen Guo

Opening Speech

9:05-10:05

Michael Janik

Applications of Machine Learning/Artificial Intelligence in Heterogeneous Catalysis

10:05-10:25

Xinyue Wang

Electrocatalytic Conversion of Carbon Dioxide to High-Value-Added Chemicals

10:25-10:45

Jiasheng Wang

Research on Nano Heterogeneous Catalysis for Hydrogenation and Oxidation Reactions

10:45-11:05

Xuezhi Song

Electrocatalysts for Water Splitting and Ammonia Synthesis: Rare Earth Promotion and Beyond

11:05-11:25

Anmin Liu

Electrocatalytic Synthesis of Ammonia: In-depth Investigation from Material Modification to Mechanism Analysis

Guest Speaker

Dr. Michael Janik is a Professor of Chemical Engineering and Associate Director of the Institute of Energy and the Environment at Pennsylvania State University. His research interests are in the use of computational methods to understand and design materials for alternative energy conversion systems. Current activities address a wide-range of energy technologies including fuel cells and electrolysis, intermetallic and single-atom catalysis, and organic electronics. Research methods emphasize atomistic simulation using quantum chemical methods and kinetic modeling. Dr. Janik also holds the title of Visiting Professor at Dalian University of Technology. Dr. Janik received his B. S. in Chemical Engineering from Yale University. He completed his doctoral studies at the University of Virginia under the advisement of Bob Davis and Matt Neurock. Dr. Janik leads a highly collaborative research program of 15 graduate students, has co-authored over 220 peer reviewed papers, and co-edited the book “Computational Catalysis” (with Aravind Asthagiri).

Abstract

This talk will provide an overview of how ML/AI tools are being used in heterogeneous catalysis research. Emphasis will be on the use of these tools within an overall computational catalysis research program, though examples will also highlight integration with experimental kinetic data. The talk will discuss uses of these tools without providing details of the underlying algorithms. Examples will be taken from our group’s research, including the use of “descriptor” searching tools to predict single metal atom binding to oxide surfaces, high-throughput workflows in developing intermetallic catalysts, and advancing fitting procedures to reconcile experimental kinetics to elementary reaction mechanisms.