Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
2024 International Mammalian Synthetic Biology Workshop (mSBW) August 6-7, 2024 George Sherman Union at Boston University, Boston, MA, USA
The Foundations of Computer Aided Process Design (FOCAPD) Conference July 14-18, 2024 Beaver Run, Breckenridge, CO, USA
Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
2024 Brazil Student Regional Conference July 29 - August 2, 2024 Universidade Federal do Paraná, Curitiba, Paraná, Brazil
2024 International Mammalian Synthetic Biology Workshop (mSBW) August 6-7, 2024 George Sherman Union at Boston University, Boston, MA, USA
2024 China Chem-E-Car Competition August 6-7, 2024 Central South University, Changsha, Hunan Province, China
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Jon Paul Janet Citation name Janet, J. P. Affiliation Massachusetts Institute of Technology State MA Country USA Authored(370d) Interpreting Functional-Sensitivity in Catalysis: Exchange-Tuning Vs. DFT+UHeather KulikQing ZhaoEfthymios IoannidisJon Paul Janet2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(415e) New Computational Tools for High-Throughput Discovery in Transition Metal CatalysisHeather KulikTerry Z. H. GaniJon Paul Janet2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(595e) Mapping Transition Metal Chemical Space for Machine Learning ModelsJon Paul JanetHeather Kulik2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(710b) Strategies and Software for Accelerating Inorganic Molecular DesignJon Paul JanetHeather KulikChenru DuanAditya NandyStefan Gugler2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(699g) Accelerating Inorganic Discovery with Machine Learning and AutomationHeather KulikJon Paul JanetAditya NandyChenru DuanStefan Gugler2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(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)(443e) Using Data Driven Models to Gain Insight on Spin- and Oxidation-State Dependent Behavior of Reaction Energetics for Light Alkane OxidationHeather KulikJon Paul JanetChenru DuanAditya Nandy2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(195a) Multi-Objective, Machine-Learning Assisted First-Principles Design of Transition Metal Complexes for Redox CouplesJon Paul JanetHeather Kulik2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(246e) Machine Learning and Transition Metal Chemistry: Data-Driven Comparisons of First and Second Row ComplexesJon Paul JanetDaniel HarperChenru DuanNaveen ArunachalamAditya NandyHeather Kulik2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(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) Associated proceedings 2016 AIChE Annual Meeting 2017 Annual Meeting 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting
