2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Fang Liu Citation name Liu, F. Affiliation Stanford University State CA Country USA Authored(162b) Exploiting Electronic Structure and Machine Learning Models for Discovery in Transition Metal ChemistryHeather KulikJon Paul JanetFang LiuAditya NandyChenru Duan2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(73h) Unraveling the Quantum Mechanical Catalytic Action of Methyltransferases with GPU-Accelerated Large-Scale Electronic StructureZhongyue YangFang LiuHeather Kulik2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(474g) Bridging the Homogeneous-Heterogeneous Divide: Modeling Spin for Reactivity in Single Atom CatalysisFang LiuTzuhsiung YangJing YangEve XuAkash BajajHeather Kulik2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(38d) Autoneb: A Toolkit for Automating Reaction Network CalculationFang LiuXiaolei ZhuDavid SanchezHeather KulikTodd J. Martinez2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(729f) Multirefpredict: An Automated Workflow for Method Selection of First Principles Calculations on Transition Metal ChemistryFang LiuChenru DuanHeather Kulik2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(6bg) Scaling up First Principle Simulation in Realistic Environment: Solvent Effects and Excited State Properties in Computational CatalysisFang Liu2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(285e) A Database with Automated Quantum Chemistry Calculations and Machine Learning for Functional Transition Metal Complex DiscoveryMichael TaylorChenru DuanDaniel HarperAditya NandyNaveen ArunachalamFang LiuHeather Kulik2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(106a) Molecular Design Blueprints: Catalysts and Principles from New Simulation and Machine Learning ToolsHeather KulikAditya NandyDaniel HarperMichael TaylorChenru DuanFang LiuNaveen ArunachalamJon Paul Janet2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(118d) Semi-Supervised Learning Detects Safe Islands Where Density Functional Theory Is Applicable for Chemical DiscoveryChenru DuanAditya NandyFang LiuHeather Kulik2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting
