R
Ross E. Larsen
Researcher at National Renewable Energy Laboratory
Publications - 71
Citations - 2314
Ross E. Larsen is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Solvation & Excited state. The author has an hindex of 26, co-authored 70 publications receiving 2060 citations. Previous affiliations of Ross E. Larsen include University of California, Santa Barbara & University of California, Los Angeles.
Papers
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Journal ArticleDOI
Photoinduced Degradation of Polymer and Polymer–Fullerene Active Layers: Experiment and Theory
Matthew O. Reese,Alexandre M. Nardes,Benjamin L. Rupert,Ross E. Larsen,Dana C. Olson,Matthew T. Lloyd,Sean E. Shaheen,David S. Ginley,Garry Rumbles,Nikos Kopidakis +9 more
TL;DR: In this paper, the stability of poly(3-hexylthiophene) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM) is studied for 1000 + h under inert conditions.
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Does the Hydrated Electron Occupy a Cavity
TL;DR: Simulation of the electronic structure and dynamics of the hydrated electron using a rigorously derived pseudopotential to treat the electron-water interaction resulted in a hydrated electrons that did not reside in a cavity but instead occupied a ~1-nanometer-diameter region of enhanced water density.
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Mean-field dynamics with stochastic decoherence (MF-SD): a new algorithm for nonadiabatic mixed quantum/classical molecular-dynamics simulations with nuclear-induced decoherence.
TL;DR: This paper starts from the density matrix of the total system and uses the frozen Gaussian approximation for the nuclear wave function to derive a nuclear-induced decoherence rate for the electronic degrees of freedom, which is then used as the basis for a new nonadiabatic MQC molecular-dynamics algorithm, which they call mean-field dynamics with stochasticDecoherence (MF-SD).
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Message-passing neural networks for high-throughput polymer screening
Peter C. St. John,Caleb Phillips,Travis W. Kemper,A. Nolan Wilson,Yanfei Guan,Michael F. Crowley,Mark R. Nimlos,Ross E. Larsen +7 more
TL;DR: It is shown that message-passing neural networks trained with and without 3D structural information for these molecules achieve similar accuracy, comparable to state-of-the-art methods on existing benchmark datasets, and learned molecular representations can be leveraged to reduce the training data required to transfer predictions to a new density functional theory functional.
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Exploring the role of decoherence in condensed-phase nonadiabatic dynamics: a comparison of different mixed quantum/classical simulation algorithms for the excited hydrated electron.
TL;DR: This paper finds that for three MQC methods that use Tully's fewest-switches criterion to determine surface hopping probabilities, the excited-state lifetime of the electron is the same, and describes in detail how a new nonadiabatic algorithm, mean-field dynamics with stochastic decoherence (MF-SD), is to be implemented for condensed-phase problems, and the resulting implications for hydrated-electron relaxation dynamics.