Renewable Hydrogen Storage and Transport Conference March 11-12, 2024 Town and Gown of USC, Los Angeles, CA
2024 Spring Meeting and 20th Global Congress on Process Safety March 24-28, 2024 New Orleans Ernest N. Morial Convention Center, New Orleans, LA
2024 Spring Meeting and 20th Global Congress on Process Safety March 24-28, 2024 New Orleans Ernest N. Morial Convention Center, New Orleans, LA
2024 North Central Student Regional Conference April 5-6, 2024 Ohio State University, Columbus, OH, USA
2024 Rocky Mountain Student Regional Conference April 5-6, 2024 South Dakota School of Mines and Technology, Rapid City, SD, USA
2024 Mid-America Student Regional Conference April 5-6, 2024 University of Arkansas, Fayetteville, AR, USA
2024 Mid-Atlantic Student Regional Conference April 6-7, 2024 University of Maryland Baltimore County, Baltimore, MD, USA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Shih-Han Wang Citation name Wang, S. H. Affiliation Virginia Tech State VA Country USA Authored(189bw) PID Control Strategy for Thermostating and Barostating Molecular Dynamics SimulationLuke AchenieShih-Han Wang2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(659f) Development of Physics-Informed Neural Network Potentials for Molecular SimulationsShih-Han WangLuke AchenieHongliang Xin2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(369n) A Control Strategy for Thermostating and Barostating Molecular Dynamics SimulationsShih-Han WangLuke E. K. Achenie2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(45f) Physics Informed Machine Learning of Chemisorption at Metal SurfacesShih-Han WangHongliang XinSiwen WangNoushin OmidvarLuke Achenie2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(509cw) Accelerating Ammonia Electrooxidation Catalyst Discovery through Interpretable Machine LearningHemanth PillaiShih-Han WangHongliang XinLuke E. K. Achenie2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(532ed) Theory-Infused Neural Network for Interpretable D-Band Moments PredictionShih-Han WangYang HuangHemanth PillaiHongliang XinLuke E. K. Achenie2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(532eb) Infusing Theory into Deep Learning for Interpretable Stability Prediction of Transition Metal AlloysYang HuangHongliang XinShih-Han Wang2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(684f) Theory-Infused Neural Network for Interpretable Reactivity PredictionShih-Han WangHemanth PillaiSiwen WangLuke E. K. AchenieHongliang Xin2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(426d) Discovery of Pt Trimetallic Electrocatalysts for Ammonia Oxidation with Interpretable Deep LearningHemanth PillaiYi LiShih-Han WangQingmin MuClaire PokrywkaLuke E. K. AchenieFrank Abild-PedersenGang WuHongliang Xin2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(521em) Interpretable Design of Multimetallic Catalysts for Ammonia Electrooxidation with Deep LearningShih-Han WangHemanth PillaiYi LiLuke E. K. AchenieGang WuHongliang Xin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting