Final Technical Report: Mathematical Foundations for Uncertainty Quantification in Materials Design
Author(s) -
Petr Plecháč,
Dionisios G. Vlachos
Publication year - 2018
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - Uncategorized
Resource type - Reports
DOI - 10.2172/1417749
Subject(s) - uncertainty quantification , computer science , monte carlo method , langevin dynamics , statistical physics , kinetic monte carlo , sensitivity (control systems) , complex system , multiscale modeling , scale (ratio) , molecular dynamics , biochemical engineering , chemistry , mathematics , computational chemistry , physics , artificial intelligence , machine learning , engineering , statistics , quantum mechanics , electronic engineering
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