Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure
Autor: | Helgi I. Ingólfsson, Harsh Bhatia, Fikret Aydin, Tomas Oppelstrup, Cesar A. López, Liam G. Stanton, Timothy S. Carpenter, Sergio Wong, Francesco Di Natale, Xiaohua Zhang, Joseph Y. Moon, Christopher B. Stanley, Joseph R. Chavez, Kien Nguyen, Gautham Dharuman, Violetta Burns, Rebika Shrestha, Debanjan Goswami, Gulcin Gulten, Que N. Van, Arvind Ramanathan, Brian Van Essen, Nicolas W. Hengartner, Andrew G. Stephen, Thomas Turbyville, Peer-Timo Bremer, S. Gnanakaran, James N. Glosli, Felice C. Lightstone, Dwight V. Nissley, Frederick H. Streitz |
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Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Journal of Chemical Theory and Computation. 19:2658-2675 |
ISSN: | 1549-9626 1549-9618 |
Databáze: | OpenAIRE |
Externí odkaz: |