Zobrazeno 1 - 10
of 15
pro vyhledávání: '"R. V. Krems"'
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
Abstract We study two identical fermions, or two hard-core bosons, in an infinite chain and coupled to phonons by interactions that modulate their hopping as described by the Peierls/Su-Schrieffer-Heeger (SSH) model. We show that exchange of phonons
Externí odkaz:
https://doaj.org/article/1a5e054c452c4f8799e987076ea9f3e1
Autor:
A. Jasinski, J. Montaner, R. C. Forrey, B. H. Yang, P. C. Stancil, N. Balakrishnan, J. Dai, R. A. Vargas-Hernández, R. V. Krems
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 032051 (2020)
Quantum scattering calculations for all but low-dimensional systems at low energies must rely on approximations. All approximations introduce errors. The impact of these errors is often difficult to assess because they depend on the Hamiltonian param
Externí odkaz:
https://doaj.org/article/75d939b1289b4801b810ec23e8785ed4
Autor:
K. Asnaashari, R. V. Krems
Publikováno v:
Physical Review A. 106
The rotational and fine structure of open-shell molecules in a $\Sigma$ electronic state gives rise to crossings between Zeeman states of different parity. These crossings become avoided in the presence of an electric field. We propose an algorithm t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2a56dd62c9cc9b1176973a5db84a56d
https://doi.org/10.1103/physreva.106.022801
https://doi.org/10.1103/physreva.106.022801
Autor:
J. Dai, R. V. Krems
Publikováno v:
The Journal of chemical physics. 156(18)
With gates of a quantum computer designed to encode multi-dimensional vectors, projections of quantum computer states onto specific qubit states can produce kernels of reproducing kernel Hilbert spaces. We show that quantum kernels obtained with a fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1d4c4417e875099f8a6523c80603d0d
https://pubmed.ncbi.nlm.nih.gov/35568545
https://pubmed.ncbi.nlm.nih.gov/35568545
Autor:
K Asnaashari, R V Krems
The generalization accuracy of machine learning models of potential energy surfaces (PES) and force fields (FF) for large polyatomic molecules can be generally improved either by increasing the number of training points or by improving the models. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48eae4a1b6b3fa583cb80d30ee47855c
http://arxiv.org/abs/2107.04779
http://arxiv.org/abs/2107.04779
Autor:
R. V. Krems
Publikováno v:
Advances in Chemical Physics Volume 159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ed006dc9858d6171036a0d1475eddcd
https://doi.org/10.1002/9781119096276.ch8
https://doi.org/10.1002/9781119096276.ch8
Autor:
R. V. Krems
Publikováno v:
Journal of the American Chemical Society. 131:4167-4168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada64893efffb6eb551ebca59c364a95
https://doi.org/10.1021/ja9008002
https://doi.org/10.1021/ja9008002
Autor:
R. V. Krems
Publikováno v:
Physical Chemistry Chemical Physics (PCCP); Jul2008, Vol. 10 Issue 28, p4079-4092, 14p
Autor:
R A Vargas-Hernández, R V Krems
Publikováno v:
Journal of Physics B: Atomic, Molecular & Optical Physics; 12/14/2016, Vol. 49 Issue 23, p1-1, 1p
Publikováno v:
New Journal of Physics; Jun2015, Vol. 17 Issue 6, p1-1, 1p