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Machine Learning-Driven Multiscale Modeling: Bridging the S..:

Ingólfsson, Helgi I. ; Bhatia, Harsh ; Aydin, Fikret...
Journal of Chemical Theory and Computation. 19 (2023) 9 - p. 2658-2675 , 2023

Link: https://doi.org/10.1021/acs.jctc.2c01018

RT Journal
T1 <Title>Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jctc.2c01018&Exemplar=1&LAN=DE
				
A1 Ingólfsson, Helgi I.
A1 Bhatia, Harsh
A1 Aydin, Fikret
A1 Oppelstrup, Tomas
A1 López, Cesar A.
A1 Stanton, Liam G.
A1 Carpenter, Timothy S.
A1 Wong, Sergio
A1 Di Natale, Francesco
A1 Zhang, Xiaohua
A1 Moon, Joseph Y.
A1 Stanley, Christopher B.
A1 Chavez, Joseph R.
A1 Nguyen, Kien
A1 Dharuman, Gautham
A1 Burns, Violetta
A1 Shrestha, Rebika
A1 Goswami, Debanjan
A1 Gulten, Gulcin
A1 Van, Que N.
A1 Ramanathan, Arvind
A1 Van Essen, Brian
A1 Hengartner, Nicolas W.
A1 Stephen, Andrew G.
A1 Turbyville, Thomas
A1 Bremer, Peer-Timo
A1 Gnanakaran, S.
A1 Glosli, James N.
A1 Lightstone, Felice C.
A1 Nissley, Dwight V.
PB American Chemical Society (ACS)
YR 2023
SN 1549-9618
SN 1549-9626
JF Journal of Chemical Theory and Computation
VO 19
IS 9
SP 2658
OP 2675
LK http://dx.doi.org/https://doi.org/10.1021/acs.jctc.2c01018
DO https://doi.org/10.1021/acs.jctc.2c01018
SF ELIB - SuUB Bremen

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