2024 Annual Safety in Ammonia Plants and Related Facilities Symposium September 9-12, 2024 Manchester Grand Hyatt, San Diego, CA
4th Optogenetic Technologies and Applications Conference September 10-12, 2024 Wightman Mansion, Boston University, Boston, MA, USA
Procesa 2024: 6th AIChE Latin America Student Regional Conference August 26-29, 2024 Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco, Peru
2024 Indonesia Student Regional Conference August 30-31, 2024 Politeknik Energi dan Mineral Akamigas, Cepu, Blora, Central Java, Indonesia
CCPS Workshop on Process Safety Metrics: API-RP-754 Implementation September 4-5, 2024 Carlton AI Moaibed Hotel, Dammam, Saudi Arabia
2024 Annual Safety in Ammonia Plants and Related Facilities Symposium September 9-12, 2024 Manchester Grand Hyatt, San Diego, CA
4th Optogenetic Technologies and Applications Conference September 10-12, 2024 Wightman Mansion, Boston University, Boston, MA, USA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Leonardo Bernasconi Citation name Bernasconi, L. Affiliation University of Pittsburgh State PA 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)(197q) Using Deep Learning Potentials and Graph Lattice Models to Engineer Optimal Proton Conducting Membranes for Fuel CellsSiddarth AcharLeonardo BernasconiKarl Johnson2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(87i) In silico Demonstration of Fast Anhydrous Proton Conduction on GraphanolSiddarth AcharLeonardo BernasconiKarl Johnson2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(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) Associated proceedings 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting