Full-scale modeling of chemical experiments

Junfeng Wang , Guohui Li

Smart Molecules ›› 2024, Vol. 2 ›› Issue (1) : 20230010

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Smart Molecules ›› 2024, Vol. 2 ›› Issue (1) : 20230010 DOI: 10.1002/smo.20230010
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Full-scale modeling of chemical experiments

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Abstract

Computational chemistry methods are playing an increasingly pivotal role in chemical experiments. From quantum chemistry simulations to finite element simulations, researchers can always find an appropriate simulation method to elucidate the specific mechanisms at a certain resolution scale. However, in organic or inorganic synthesis, the synthesis mechanisms span multiple spatial and temporal scales of chemical experiments. Furthermore, the intricate nature of these mechanisms renders it impossible for any single simulation method to provide a comprehensive depiction of the entire process. In this perspective, using zeolite and polymer synthesis simulations as examples, we stress the significance of fullscale modeling techniques for chemical experiments and urge the corresponding sophisticated simulation platform.

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artificial intelligence / full-scale modeling / molecular dynamics

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Junfeng Wang, Guohui Li. Full-scale modeling of chemical experiments. Smart Molecules, 2024, 2(1): 20230010 DOI:10.1002/smo.20230010

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2023 The Authors. Smart Molecules published by John Wiley & Sons Australia, Ltd on behalf of Dalian University of Technology.

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