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.
Kevin Tran Citation name Tran, K. Affiliation Carnegie Mellon University State PA Country USA Authored(240f) Active Learning across Intermetallics Guides Discovery of Electrocatalysts for Carbon Dioxide Reduction and Hydrogen EvolutionKevin TranZachary Ulissi2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(699d) Methods to Exploit Large Datasets in CatalysisKevin TranZachary Ulissi2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(240g) Design of Optimal Metallic Surface Reconstructions for Heterogeneous CatalysisChristopher L. HanselmanWen ZhongKevin TranZachary UlissiChrysanthos Gounaris2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(544at) Prediction of Surface Energies for Complex Pt Structures from Coordination Number and Generalized Coordination NumberWen ZhongChristopher L. HanselmanKevin TranChrysanthos GounarisZachary Ulissi2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(538g) Automated DFT Calculations for the High-Throughput Screening of Oxygen Evolution Reaction CatalystsZachary UlissiKevin TranSeoin Back2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(246h) Graph Convolutional Machine Learning Methods for the Predictions of Adsorption and Thermochemistry and Surface StabilityZachary UlissiSeoin BackAini PalizhatiWen ZhongNianhan TianKevin Tran2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(560bz) Multi-Task Machine Learning to Predict ORR Catalyst Descriptors and Performance across Surface CompositionAini PalizhatiSeoin BackKevin TranZachary Ulissi2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(106e) The Open Catalyst Project DatasetZachary UlissiJunwoong YoonKevin TranMuhammed ShuaibiAini PalizhatiJavier Heras-DomingoAbhishek DasDevi ParikhLowik ChanussotSiddharth GoyalCaleb HoThibaut LavrilMorgane RiviereC. Lawrence Zitnick2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(8f) Open Catalyst Project: Advancements and Challenges in Building a Flexible Machine Learning PotentialLowik ChanussotSiddharth GoyalMuhammed ShuaibiThibaut LavrilAbhishek DasMorgane RiviereKevin TranJavier Heras-DomingoCaleb HoWeihua HuAini PalizhatiAnuroop SriramBrandon WoodJunwoong YoonDevi ParikhC. Lawrence ZitnickZachary Ulissi2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting