2021
DOI: 10.48550/arxiv.2103.09849
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First principles reactive simulation for equation of state prediction

Ryan B. Jadrich,
Christopher Ticknor,
Jeffery A. Leiding

Abstract: The high cost of density functional theory has hitherto limited the ab initio prediction of equation of state (EOS). In this article, we employ a combination of large scale computing, advanced simulation techniques, and smart data science strategies to provide an unprecedented, ab initio performance analysis of the high explosive pentaerythritol tetranitrate (PETN). Comparison to both experiment and thermochemical predictions reveals important quantitative limitations of DFT for EOS prediction, and thus the as… Show more

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Cited by 1 publication
(3 citation statements)
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“…More generally, our NMC-ML approach has great utility in chemically reactive systems where bond breaking and formation are important and large energy activation barriers are present. 77 ■ ASSOCIATED CONTENT * sı Supporting Information…”
Section: Discussionmentioning
confidence: 99%
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“…More generally, our NMC-ML approach has great utility in chemically reactive systems where bond breaking and formation are important and large energy activation barriers are present. 77 ■ ASSOCIATED CONTENT * sı Supporting Information…”
Section: Discussionmentioning
confidence: 99%
“…48−50 Our specific implementation of cluster moves used the following procedure: (1) pick a random seed atom, (2) build a cluster of atoms from the seed via our choice of "bonded" distances", (3) randomly displace the cluster center-of-position, (4) randomly rotate the cluster about the center-of-position (COP) via the Euler angles, (5) reject the move if new bonds are formed at the proposed location to enforce super detailed balance. 77 Bonded distances were defined as the sum of the covalent radii for an atom pair plus a buffer distance of 0.02 Å. The maximum allowed COP translation was 6.0 Å, and the maximum angular update was 60°for each Euler angle.…”
Section: Methodsmentioning
confidence: 99%
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