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Kasper JM, Williams-Young DB, Vecharynski E, Yang C, Li X. A Well-Tempered Hybrid Method for Solving Challenging Time-Dependent Density Functional Theory (TDDFT) Systems. J Chem Theory Comput 2018; 14:2034-2041. [DOI: 10.1021/acs.jctc.8b00141] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Joseph M. Kasper
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | | | - Eugene Vecharynski
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Chao Yang
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Xiaosong Li
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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Hu W, Lin L, Banerjee AS, Vecharynski E, Yang C. Adaptively Compressed Exchange Operator for Large-Scale Hybrid Density Functional Calculations with Applications to the Adsorption of Water on Silicene. J Chem Theory Comput 2017; 13:1188-1198. [PMID: 28177229 DOI: 10.1021/acs.jctc.6b01184] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Density functional theory (DFT) calculations using hybrid exchange-correlation functionals have been shown to provide an accurate description of the electronic structures of nanosystems. However, such calculations are often limited to small system sizes due to the high computational cost associated with the construction and application of the Hartree-Fock (HF) exchange operator. In this paper, we demonstrate that the recently developed adaptively compressed exchange (ACE) operator formulation [J. Chem. Theory Comput. 2016, 12, 2242-2249] can enable hybrid functional DFT calculations for nanosystems with thousands of atoms. The cost of constructing the ACE operator is the same as that of applying the exchange operator to the occupied orbitals once, while the cost of applying the Hamiltonian operator with a hybrid functional (after construction of the ACE operator) is only marginally higher than that associated with applying a Hamiltonian constructed from local and semilocal exchange-correlation functionals. Therefore, this new development significantly lowers the computational barrier for using hybrid functionals in large-scale DFT calculations. We demonstrate that a parallel planewave implementation of this method can be used to compute the ground-state electronic structure of a 1000-atom bulk silicon system in less than 30 wall clock minutes and that this method scales beyond 8000 computational cores for a bulk silicon system containing about 4000 atoms. The efficiency of the present methodology in treating large systems enables us to investigate adsorption properties of water molecules on Ag-supported two-dimensional silicene. Our computational results show that water monomer, dimer, and trimer configurations exhibit distinct adsorption behaviors on silicene. In particular, the presence of additional water molecules in the dimer and trimer configurations induces a transition from physisorption to chemisorption, followed by dissociation on Ag-supported silicene. This is caused by the enhanced effect of hydrogen bonds on charge transfer and proton transfer processes. Such a hydrogen bond autocatalytic effect is expected to have broad applications for silicene as an efficient surface catalyst for oxygen reduction reactions and water dissociation.
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Affiliation(s)
- Wei Hu
- Computational Research Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States
| | - Lin Lin
- Computational Research Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States.,Department of Mathematics, University of California , Berkeley, California 94720, United States
| | - Amartya S Banerjee
- Computational Research Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States
| | - Eugene Vecharynski
- Computational Research Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States
| | - Chao Yang
- Computational Research Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States
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Jones JR, Rouet FH, Lawler KV, Vecharynski E, Ibrahim KZ, Williams S, Abeln B, Yang C, McCurdy W, Haxton DJ, Li XS, Rescigno TN. An efficient basis set representation for calculating electrons in molecules. Mol Phys 2016. [DOI: 10.1080/00268976.2016.1176262] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Jeremiah R. Jones
- Chemical Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Keith V. Lawler
- Department of Chemistry, University of Nevada-Las Vegas, Las Vegas, NV, USA
| | - Eugene Vecharynski
- Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Khaled Z. Ibrahim
- Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Samuel Williams
- Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Brant Abeln
- Department of Chemistry, University of California, Davis, Davis, CA, USA
- Ultrafast X-Ray Science Laboratory, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Chemical Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Chao Yang
- Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - William McCurdy
- Department of Chemistry, University of California, Davis, Davis, CA, USA
- Ultrafast X-Ray Science Laboratory, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Chemical Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Daniel J. Haxton
- Ultrafast X-Ray Science Laboratory, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Chemical Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Xiaoye S. Li
- Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Thomas N. Rescigno
- Chemical Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Zuev D, Vecharynski E, Yang C, Orms N, Krylov AI. New algorithms for iterative matrix‐free eigensolvers in quantum chemistry. J Comput Chem 2014; 36:273-84. [DOI: 10.1002/jcc.23800] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Revised: 09/25/2014] [Accepted: 11/02/2014] [Indexed: 01/29/2023]
Affiliation(s)
- Dmitry Zuev
- Department of ChemistryUniversity of Southern CaliforniaLos Angeles California90089‐0482
| | - Eugene Vecharynski
- Computational Research DivisionLawrence Berkeley National LaboratoryBerkeley California94720
| | - Chao Yang
- Computational Research DivisionLawrence Berkeley National LaboratoryBerkeley California94720
| | - Natalie Orms
- Department of ChemistryUniversity of Southern CaliforniaLos Angeles California90089‐0482
| | - Anna I. Krylov
- Department of ChemistryUniversity of Southern CaliforniaLos Angeles California90089‐0482
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