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Titlebook: Computational Approaches for Chemistry Under Extreme Conditions; Nir Goldman Book 2019 Springer Nature Switzerland AG 2019 Chemical Reacti

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11#
發(fā)表于 2025-3-23 10:37:25 | 只看該作者
12#
發(fā)表于 2025-3-23 15:41:30 | 只看該作者
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發(fā)表于 2025-3-23 21:07:00 | 只看該作者
Thuy Linh Nguyen,Huu Hung Nguyenh is easy to parametrize and yields a model that is orders of magnitude faster than DFT while largely retaining its accuracy. Overall, our methods have potential use for studying complex long time and length scale chemical reactivity at extreme conditions, where there is a significant need for compu
14#
發(fā)表于 2025-3-23 22:29:26 | 只看該作者
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發(fā)表于 2025-3-24 05:38:07 | 只看該作者
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發(fā)表于 2025-3-24 10:15:34 | 只看該作者
https://doi.org/10.1007/978-3-030-66259-2henius-type rate laws, are compared with those from Continuum simulations and the limitations of the latter has been elaborated on. The study reveals a pressure/temperature regime and mixing conditions, where simple first-order kinetics-based Arrhenius-type relations cannot be applied. The reason ca
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發(fā)表于 2025-3-24 13:31:59 | 只看該作者
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發(fā)表于 2025-3-24 18:52:36 | 只看該作者
Temperature Action Monitoring of Main Girdery extrapolate the behavior of the chemical system by as much as an order of magnitude in time but can also be used to study the dynamics of entirely different chemical trajectories. We will also discuss a new and efficient data-driven algorithm for reducing our learned KMC models using L1-regulariza
19#
發(fā)表于 2025-3-24 23:03:46 | 只看該作者
Nir GoldmanCompiles state-of-the-art computational approaches in a single source.Presents novel simulation methods over a broad range of application areas.Useful tool for experimentalists and theoreticians, acce
20#
發(fā)表于 2025-3-25 02:24:33 | 只看該作者
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