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.
Linfeng Zhang Citation name Zhang, L. Affiliation Princeton University State NJ Country USA Authored(186g) A Deep Learning Potential to Study Large-Scale Anhydrous Proton Transport SystemsSiddarth AcharLinfeng ZhangLeonardo BernasconiKarl Johnson2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(360x) Studying Anhydrous Proton Transport on Graphene-Based Materials Using Deep Learning MethodsSiddarth AcharLeonardo BernasconiLinfeng ZhangKarl Johnson2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(572d) A Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in Uio-66Siddarth AcharJacob WardzalaLinfeng ZhangLeonardo BernasconiKarl Johnson2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(599e) Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in Uio-66Siddarth AcharLeonardo BernasconiJacob WardzalaLinfeng ZhangKarl Johnson2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(474f) Uni-MOF: A Universal Material Representationlearning Framework for Metal-Organic FrameworksJingqi WangDiannan LuJianzhong WuJiapeng LiuHongshuai WangMusen ZhouGuolin KeLinfeng ZhangZhifeng Gao2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting
