Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Stéphanie Valleau"'
Autor:
Stéphanie Valleau, Romain A. Studer, Florian Häse, Christoph Kreisbeck, Rafael G. Saer, Robert E. Blankenship, Eugene I. Shakhnovich, Alán Aspuru-Guzik
Publikováno v:
ACS Central Science, Vol 3, Iss 10, Pp 1086-1095 (2017)
Externí odkaz:
https://doaj.org/article/f8326317a735443895ae6134b5b39f2a
Autor:
Brenden G. Pelkie, Stéphanie Valleau
Publikováno v:
Digital Discovery. 1:851-858
Gaussian process regressors were successfuly trained to predict fully quantum flux–flux correlation functions and the corresponding reaction rate constants.
Autor:
Evan, Komp, Stéphanie, Valleau
Publikováno v:
Chemical science. 13(26)
We have generated an open-source dataset of over 30 000 organic chemistry gas phase partition functions. With this data, a machine learning deep neural network estimator was trained to predict partition functions of unknown organic chemistry gas phas
Publikováno v:
Physical chemistry chemical physics : PCCP. 24(5)
Quantum and classical reaction rate constant calculations come at the cost of exploring potential energy surfaces. Due to the "curse of dimensionality", their evaluation quickly becomes unfeasible as the system size grows. Machine learning algorithms
Autor:
Evan Komp, Stéphanie Valleau
Publikováno v:
The Journal of Physical Chemistry A. 125:9259-9260
Autor:
Evan Komp, Stéphanie Valleau
Publikováno v:
The journal of physical chemistry. A. 124(41)
The ab initio calculation of exact quantum reaction rate constants comes at a high cost due to the required dynamics of reactants on multidimensional potential energy surfaces. In turn, this impedes the rapid design of the kinetics for large sets of
Autor:
Eugene I. Shakhnovich, Rafael G. Saer, Romain A. Studer, Alán Aspuru-Guzik, Florian Häse, Stéphanie Valleau, Christoph Kreisbeck, Robert E. Blankenship
Publikováno v:
ACS Central Science
ACS Central Science, Vol 3, Iss 10, Pp 1086-1095 (2017)
ACS Central Science, Vol 3, Iss 10, Pp 1086-1095 (2017)
We present a study on the evolution of the Fenna–Matthews–Olson bacterial photosynthetic pigment–protein complex. This protein complex functions as an antenna. It transports absorbed photons—excitons—to a reaction center where photosyntheti
Publikováno v:
Chemical Science. 7:5139-5147
Obtaining the exciton dynamics of large photosynthetic complexes by using mixed quantum mechanics/molecular mechanics (QM/MM) is computationally demanding. We propose a machine learning technique, multi-layer perceptrons, as a tool to reduce the time
Autor:
Todd J. Martínez, Stéphanie Valleau
We studied the reaction dynamics of a proposed prebiotic reaction theoretically. The chemical process involves acetone cyanohydrin or formalcyanohydrin reacting with hydrosulfide in an aqueous environment. Rate constants and populations of reactant a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6fdf1b13c8c7d70b980607065b78b6
Autor:
Hossein Mossallaei, Alán Aspuru-Guzik, Davood Ansari-Oghol-Beig, Masoud Rostami, Semion K. Saikin, Stéphanie Valleau
Publikováno v:
ACS Nano. 8:3884-3894
Green sulfur bacteria are an iconic example of nature's adaptation: thriving in environments of extremely low photon density, the bacterium ranks itself among the most efficient natural light-harvesting organisms. The photosynthetic antenna complex o