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Title: Inverse methods for design of soft materials

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [1]
  1. Univ. of Texas, Austin, TX (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Center for Nonlinear Studies
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC) (United States). Center for Materials for Water and Energy Systems (M-WET); Univ. of Texas, Austin, TX (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES); Robert A. Welch Foundation
OSTI Identifier:
1767722
Alternate Identifier(s):
OSTI ID: 1632935; OSTI ID: 1818104
Report Number(s):
LA-UR-20-20466
Journal ID: ISSN 0021-9606; TRN: US2206472
Grant/Contract Number:  
SC0019272; F-1696; 89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Chemical Physics
Additional Journal Information:
Journal Volume: 152; Journal Issue: 14; Journal ID: ISSN 0021-9606
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; catalysis (heterogeneous); charge transport; separations; membranes; water; mesoscale science; materials and chemistry by design; mesostructured materials; synthesis (novel materials); synthesis (self-assembly); synthesis (predictive); probability theory; machine learning; colloids; self assembly; thermodynamic states and processes; soft matter; interatomic potentials; free energy landscapes; inverse theory; polymers; inverse design; statistical mechanics; optimization; statistical inference; inverse design, statistical mechanics, optimization, soft matter, colloids, statistical inference, machine learning

Citation Formats

Sherman, Zachary M., Howard, Michael P., Lindquist, Beth Anne, Jadrich, Ryan Bradley, and Truskett, Thomas M. Inverse methods for design of soft materials. United States: N. p., 2020. Web. doi:10.1063/1.5145177.
Sherman, Zachary M., Howard, Michael P., Lindquist, Beth Anne, Jadrich, Ryan Bradley, & Truskett, Thomas M. Inverse methods for design of soft materials. United States. https://doi.org/10.1063/1.5145177
Sherman, Zachary M., Howard, Michael P., Lindquist, Beth Anne, Jadrich, Ryan Bradley, and Truskett, Thomas M. Thu . "Inverse methods for design of soft materials". United States. https://doi.org/10.1063/1.5145177. https://www.osti.gov/servlets/purl/1767722.
@article{osti_1767722,
title = {Inverse methods for design of soft materials},
author = {Sherman, Zachary M. and Howard, Michael P. and Lindquist, Beth Anne and Jadrich, Ryan Bradley and Truskett, Thomas M.},
abstractNote = {},
doi = {10.1063/1.5145177},
journal = {Journal of Chemical Physics},
number = 14,
volume = 152,
place = {United States},
year = {Thu Apr 09 00:00:00 EDT 2020},
month = {Thu Apr 09 00:00:00 EDT 2020}
}

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Cited by: 51 works
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