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1
Performance and Cost Assessment of Machine Learning Interatomic Potentials
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Performance and Cost Assessment of Machine Learning Interatomic Potentials

Zuo, Yunxing ; Chen, Chi ; Li, Xiangguo ; Deng, Zhi ; Chen, Yiming ; Behler, Jörg ; Csányi, Gábor ; Shapeev, Alexander V ; Thompson, Aidan P ; Wood, Mitchell A ; Ong, Shyue Ping

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2020-01, Vol.124 (4), p.731-745 [Periódico revisado por pares]

United States: American Chemical Society

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2
CRYSTAL23: A Program for Computational Solid State Physics and Chemistry
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CRYSTAL23: A Program for Computational Solid State Physics and Chemistry

Erba, Alessandro ; Desmarais, Jacques K. ; Casassa, Silvia ; Civalleri, Bartolomeo ; Donà, Lorenzo ; Bush, Ian J. ; Searle, Barry ; Maschio, Lorenzo ; Edith-Daga, Loredana ; Cossard, Alessandro ; Ribaldone, Chiara ; Ascrizzi, Eleonora ; Marana, Naiara L. ; Flament, Jean-Pierre ; Kirtman, Bernard

Journal of chemical theory and computation, 2023-10, Vol.19 (20), p.6891-6932 [Periódico revisado por pares]

United States: American Chemical Society

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3
A Multireference Quantum Krylov Algorithm for Strongly Correlated Electrons
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A Multireference Quantum Krylov Algorithm for Strongly Correlated Electrons

Stair, Nicholas H ; Huang, Renke ; Evangelista, Francesco A

Journal of chemical theory and computation, 2020-04, Vol.16 (4), p.2236-2245 [Periódico revisado por pares]

United States: American Chemical Society

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4
Ion Mobilities in Diatomic Gases: Measurement versus Prediction with Non-Specular Scattering Models
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Ion Mobilities in Diatomic Gases: Measurement versus Prediction with Non-Specular Scattering Models

Larriba, Carlos ; Hogan, Christopher J

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2013-05, Vol.117 (19), p.3887-3901 [Periódico revisado por pares]

Washington, DC: American Chemical Society

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5
Organohalide Lead Perovskites for Photovoltaic Applications
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Organohalide Lead Perovskites for Photovoltaic Applications

Yusoff, Abd. Rashid bin Mohd ; Nazeeruddin, Mohammad Khaja

The journal of physical chemistry letters, 2016-03, Vol.7 (5), p.851-866 [Periódico revisado por pares]

United States: American Chemical Society

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6
A Practical Guide to Density Matrix Embedding Theory in Quantum Chemistry
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A Practical Guide to Density Matrix Embedding Theory in Quantum Chemistry

Wouters, Sebastian ; Jiménez-Hoyos, Carlos A ; Sun, Qiming ; Chan, Garnet K.-L

Journal of chemical theory and computation, 2016-06, Vol.12 (6), p.2706-2719 [Periódico revisado por pares]

United States: American Chemical Society

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7
Static Disorder in Excitation Energies of the Fenna–Matthews–Olson Protein: Structure-Based Theory Meets Experiment
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Static Disorder in Excitation Energies of the Fenna–Matthews–Olson Protein: Structure-Based Theory Meets Experiment

Chaillet, Marten L ; Lengauer, Florian ; Adolphs, Julian ; Müh, Frank ; Fokas, Alexander S ; Cole, Daniel J ; Chin, Alex W ; Renger, Thomas

The journal of physical chemistry letters, 2020-12, Vol.11 (24), p.10306-10314 [Periódico revisado por pares]

United States: American Chemical Society

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8
Large Scale GW Calculations
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Large Scale GW Calculations

Govoni, Marco ; Galli, Giulia

Journal of chemical theory and computation, 2015-06, Vol.11 (6), p.2680-2696 [Periódico revisado por pares]

United States: American Chemical Society

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9
ff19SB: Amino-Acid-Specific Protein Backbone Parameters Trained against Quantum Mechanics Energy Surfaces in Solution
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ff19SB: Amino-Acid-Specific Protein Backbone Parameters Trained against Quantum Mechanics Energy Surfaces in Solution

Tian, Chuan ; Kasavajhala, Koushik ; Belfon, Kellon A. A ; Raguette, Lauren ; Huang, He ; Migues, Angela N ; Bickel, John ; Wang, Yuzhang ; Pincay, Jorge ; Wu, Qin ; Simmerling, Carlos

Journal of chemical theory and computation, 2020-01, Vol.16 (1), p.528-552 [Periódico revisado por pares]

United States: American Chemical Society

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10
Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions
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Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions

Taylor, Michael G ; Yang, Tzuhsiung ; Lin, Sean ; Nandy, Aditya ; Janet, Jon Paul ; Duan, Chenru ; Kulik, Heather J

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2020-04, Vol.124 (16), p.3286-3299 [Periódico revisado por pares]

United States: American Chemical Society

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