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.
Hiroya Nitta Citation name Nitta, H. Affiliation JSOL Corporation Country Japan Authored(253g) Molecular Dynamics of Inorganic and Organic Interfaces, Parametrization Based on Quantum Mechanical SimulationHiroya NittaKosuke OhataKenta ChakiTaku Ozawa2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(192b) Molecular Dynamics of Inorganic and Polymer Interface with Force-Field parameter Based on DFT SimulationHiroya NittaTaku OzawaKosuke OhataKenta Chaki2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(189p) Efficient Generation of Polymer Amorphous Structure By Reverse-Mapping from Beads-Spring to Full-Atomistic ModelHiroya NittaTaku Ozawa2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(376bv) Efficient Generation of Full-Atomistic Polymer Amorphous Structure Adsorbed onto Solid Surfaces by Reverse-Mapping techniqueHiroya NittaTaku Ozawa2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(346ao) Full-Atomistic Entangled Polymer Structure Generation Using Reverse-Mapping from Breads-Spring Models.Hiroya NittaTaku Ozawa2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(342ah) Full Atomistic Polymer Structure Generation Using Reverse-Mapping Technique, Application to Poly(methy methacrylate)Hiroya NittaTaku Ozawa2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(360ai) Simulation of Lipid Membranes Using Coarse-Grained Model and Reverse-MappingTaku OzawaHiroya Nitta2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(197o) Li Ion Diffusion in Solid Electrolyte Analyzed Using Deep Generative Models.Hiroya NittaTaku OzawaTeppei FukuyaTakayuki NishioKenji Yasuoka2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(169y) Li Ion Diffusion in Solid Electrolyte Analyzed Using Deep Generative Models: Dependence of Accuracy of Diffusion Coefficients on MD Data Length.Hiroya NittaTaku OzawaTeppei FukuyaTakayuki NishioKenji Yasuoka2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6) Associated proceedings 2016 AIChE Annual Meeting 2017 Annual Meeting 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting 2024 AIChE Annual Meeting
