Publication:

Subsystem Density Functional Theory Augmented by a Delta Learning Approach to Achieve Kohn–Sham Accuracy

Date

Date

Date
2021
Journal Article
Published version

Citations

Citation copied

Pauletti, M., Rybkin, V. V., & Iannuzzi, M. (2021). Subsystem Density Functional Theory Augmented by a Delta Learning Approach to Achieve Kohn–Sham Accuracy. Journal of Chemical Theory and Computation, 17(10), 6423–6431. https://doi.org/10.1021/acs.jctc.1c00592

Abstract

Abstract

Abstract

Simulations based on electronic structure theory naturally include polarization and have no transferability problems. In particular, Kohn–Sham density functional theory (KS-DFT) has become the method of reference for ab initio molecular dynamics simulations of condensed matter systems. However, the high computational cost often poses strict limits on the affordable system size as well as on the extension of sampling (number of configurations). In this work, we propose an improvement to the subsystem density functional theory approach,

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87 since deposited on 2021-11-15
82last week
Acq. date: 2025-11-14

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129 since deposited on 2021-11-15
126last week
Acq. date: 2025-11-14

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
17

Number

Number

Number
10

Page range/Item number

Page range/Item number

Page range/Item number
6423

Page end

Page end

Page end
6431

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Physical and Theoretical Chemistry, Computer Science Applications

Language

Language

Language
English

Publication date

Publication date

Publication date
2021-10-12

Date available

Date available

Date available
2021-11-15

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1549-9618

OA Status

OA Status

OA Status
Green

Metrics

Downloads

87 since deposited on 2021-11-15
82last week
Acq. date: 2025-11-14

Views

129 since deposited on 2021-11-15
126last week
Acq. date: 2025-11-14

Citations

Citation copied

Pauletti, M., Rybkin, V. V., & Iannuzzi, M. (2021). Subsystem Density Functional Theory Augmented by a Delta Learning Approach to Achieve Kohn–Sham Accuracy. Journal of Chemical Theory and Computation, 17(10), 6423–6431. https://doi.org/10.1021/acs.jctc.1c00592

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