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Workshop IV: Uncertainty Quantification for Stochastic Systems and Applications
13 Nov 2017 - 17 Nov 2017 • Institute for Pure and Applied Mathematics (IPAM),, United States
In past decades, considerable effort has been devoted to first-principles modeling of materials and materials design. However, uncertainty quantification over multiple scales, especially when some of them are inherently stochastic, is not sufficiently understood despite having critical impact on guiding experimental efforts and design. The uncertainty in materials modeling and design can arise either from the stochastic nature of microscopic description, sampling and numerical errors or from improper modeling assumptions, inadequate or inaccurate parametrization of the system and/or the objective functionals that guide the design optimization. The methods for quantifying the impact of such errors and uncertainties have been recently studied in different communities, including computational quantum chemistry, materials engineering, and mathematics. Applications received by Monday, September 18, 2017 will receive fullest consideration.
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