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Timothy C Berkelbach

Showing results (51-60 of 85) with videos related to

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Journal of Chemical Theory and Computation|February 21, 2017
Gaussian-Based Coupled-Cluster Theory for the Ground-State and Band Structure of SolidsJames McClain, Qiming Sun, Garnet Kin-Lic Chan, et al.
The Journal of Chemical Physics|November 4, 2017
Gaussian and plane-wave mixed density fitting for periodic systemsQiming Sun, Timothy C Berkelbach, James D McClain, et al.
Journal of Chemical Theory and Computation|December 19, 2023
Toward Linear Scaling Auxiliary-Field Quantum Monte Carlo with Local Natural OrbitalsJo S Kurian, Hong-Zhou Ye, Ankit Mahajan, et al.
Nano Letters|September 24, 2019
Large Band Edge Tunability in Colloidal NanoplateletsQunfei Zhou, Yeongsu Cho, Shenyuan Yang, et al.
The Journal of Chemical Physics|July 1, 2024
Performant automatic differentiation of local coupled cluster theories: Response properties and ab initio molecular dynamicsXing Zhang, Chenghan Li, Hong-Zhou Ye, et al.
Journal of Chemical Theory and Computation|March 5, 2025
Efficient Implementation of the Random Phase Approximation with Domain-Based Local Pair Natural OrbitalsYu Hsuan Liang, Xing Zhang, Garnet Kin-Lic Chan, et al.
Journal of Chemical Theory and Computation|November 8, 2022
Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random SparsificationSamuel M Greene, Robert J Webber, James E T Smith, et al.
Journal of the American Chemical Society|July 9, 2014
Length-dependent conductance of oligothiophenesBrian Capozzi, Emma J Dell, Timothy C Berkelbach, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 5, 2009
Modeling energy dependence of the inner-shell x-ray emission produced by femtosecond-pulse laser irradiation of xenon clustersTimothy C Berkelbach, James Colgan, Joseph Abdallah, et al.
Journal of Chemical Theory and Computation|February 2, 2023
Data-Efficient Machine Learning Potentials from Transfer Learning of Periodic Correlated Electronic Structure Methods: Liquid Water at AFQMC, CCSD, and CCSD(T) AccuracyMichael S Chen, Joonho Lee, Hong-Zhou Ye, et al.
Pageof 9

Showing results (51-60 of 85) with videos related to

Sort By:
Pageof 9
Journal of Chemical Theory and Computation|February 21, 2017
Gaussian-Based Coupled-Cluster Theory for the Ground-State and Band Structure of SolidsJames McClain, Qiming Sun, Garnet Kin-Lic Chan, et al.
The Journal of Chemical Physics|November 4, 2017
Gaussian and plane-wave mixed density fitting for periodic systemsQiming Sun, Timothy C Berkelbach, James D McClain, et al.
Journal of Chemical Theory and Computation|December 19, 2023
Toward Linear Scaling Auxiliary-Field Quantum Monte Carlo with Local Natural OrbitalsJo S Kurian, Hong-Zhou Ye, Ankit Mahajan, et al.
Nano Letters|September 24, 2019
Large Band Edge Tunability in Colloidal NanoplateletsQunfei Zhou, Yeongsu Cho, Shenyuan Yang, et al.
The Journal of Chemical Physics|July 1, 2024
Performant automatic differentiation of local coupled cluster theories: Response properties and ab initio molecular dynamicsXing Zhang, Chenghan Li, Hong-Zhou Ye, et al.
Journal of Chemical Theory and Computation|March 5, 2025
Efficient Implementation of the Random Phase Approximation with Domain-Based Local Pair Natural OrbitalsYu Hsuan Liang, Xing Zhang, Garnet Kin-Lic Chan, et al.
Journal of Chemical Theory and Computation|November 8, 2022
Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random SparsificationSamuel M Greene, Robert J Webber, James E T Smith, et al.
Journal of the American Chemical Society|July 9, 2014
Length-dependent conductance of oligothiophenesBrian Capozzi, Emma J Dell, Timothy C Berkelbach, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 5, 2009
Modeling energy dependence of the inner-shell x-ray emission produced by femtosecond-pulse laser irradiation of xenon clustersTimothy C Berkelbach, James Colgan, Joseph Abdallah, et al.
Journal of Chemical Theory and Computation|February 2, 2023
Data-Efficient Machine Learning Potentials from Transfer Learning of Periodic Correlated Electronic Structure Methods: Liquid Water at AFQMC, CCSD, and CCSD(T) AccuracyMichael S Chen, Joonho Lee, Hong-Zhou Ye, et al.
Pageof 9