Interpretable molecular models for molybdenum disulfide and insight into selective peptide recognition
Year: 2020
Type: article
Abstract: -based nanomaterials and electrolyte interfaces up to a billion atoms with high accuracy, including multiscale simulations from the quantum scale to the microscale.
Source: Chemical Science
DOI: 10.1039/d0sc01443e
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: diamond
Funders: National Science Foundation, U.S. Department of Energy, Colorado State University, Office of Science, University of Colorado Boulder, Division of Materials Research, Division of Chemical, Bioengineering, Environmental, and Transport Systems, Division of Advanced Cyberinfrastructure, Argonne National Laboratory
Awards: G102163711, G107546177, G1313983767, G1395360581, G159716036, G1597269620, G1664757510, G1752423155, G1769011362, G2287611682, G2586609609, G2771839441, G2784524989, G2796167598, G3075337988, G3299242641, G3589692066, G3882501615, MRI Collaborative Consortium: Acquisition of a Shared Supercomputer by the Rocky Mountain Advanced Computing Consortium, Translocation, biological fate, stability, and effective dose of engineered nanomaterials for nanosafety studies, G4958434179, G498139845, MRI Collaborative Consortium: Acquisition of a Shared Supercomputer by the Rocky Mountain Advanced Computing Consortium, G513797252, G6918803902, Collaborative Research: Frameworks: Cyberloop for Accelerated Bionanomaterials Design, DMREF/Collaborative Research: Design and Testing of Nanoalloy Catalysts in 3D Atomic Resolution, G8614783974, Science and Technology Center on Real-Time Functional Imaging (STROBE), G8929392486, G993149817
OpenAlex ID: W3045366654