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Daniel Neuhauser

Affiliations: 
Chemistry University of California, Los Angeles, Los Angeles, CA 
Area:
Physical, Theory, Theoretical Chemistry
Google:
"daniel neuhauser UCLA"
Mean distance: 10.34
 		SNBCP
Cross-listing: Physics Tree

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Parents

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Steven E. Koonin grad student 1982-1987 Caltech (Physics Tree)

Children

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Rui Sun research assistant
Ashish K. Gupta grad student 2001 UCLA
Sybil M. Anderson grad student 2002 UCLA
Pep Charusanti grad student 2006 UCLA
Joseph L. Speyer grad student 2009 UCLA
Kenneth A. Lopata grad student 2010 UCLA
Lizette A. Bartell grad student 2011 UCLA
Christopher D. Arntsen grad student 2014 UCLA
Vojtěch Vlček post-doc 2016-2018 UCLA

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Publications

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Bradbury NC, Allen T, Nguyen M, et al. (2023) Deterministic/Fragmented-Stochastic Exchange for Large-Scale Hybrid DFT Calculations. Journal of Chemical Theory and Computation
Bradbury NC, Nguyen M, Caram JR, et al. (2022) Bethe-Salpeter equation spectra for very large systems. The Journal of Chemical Physics. 157: 031104
Baer R, Neuhauser D, Rabani E. (2022) Stochastic Vector Techniques in Ground-State Electronic Structure. Annual Review of Physical Chemistry
Nguyen M, Li W, Li Y, et al. (2021) Tempering stochastic density functional theory. The Journal of Chemical Physics. 155: 204105
Chen M, Baer R, Neuhauser D, et al. (2021) Stochastic density functional theory: Real- and energy-space fragmentation for noise reduction. The Journal of Chemical Physics. 154: 204108
Bradbury NC, Chuang C, Deshmukh AP, et al. (2020) Stochastically Realized Observables for Excitonic Molecular Aggregates. The Journal of Physical Chemistry. A
Dou W, Chen M, Takeshita TY, et al. (2020) Range-separated stochastic resolution of identity: Formulation and application to second-order Green's function theory. The Journal of Chemical Physics. 153: 074113
Arnon E, Rabani E, Neuhauser D, et al. (2020) Efficient Langevin dynamics for "noisy" forces. The Journal of Chemical Physics. 152: 161103
Zhang X, Lu G, Baer R, et al. (2020) Linear-response time-dependent density functional theory with stochastic range-separated hybrids. Journal of Chemical Theory and Computation
Lee AJ, Chen M, Li W, et al. (2020) Dopant levels in large nanocrystals using stochastic optimally tuned range-separated hybrid density functional theory Physical Review B. 102
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