James E. Gubernatis – författare
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3 produkter
3 produkter
Häftad, Engelska, 2020
543 kr
Skickas inom 10-15 vardagar
Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
E-bok
PDF, Engelska, 2022712 kr
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Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
Inbunden, Engelska, 1989
2 477 kr
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The purpose of this workshop is to present and exchange information on rapidly growing areas in physics and chemistry where quantum simulation techniques are being developed and applied to the study of a variety of condensed matter phenomena. These techniques include, but are not limited to zero and finite temperature many-electron Monte Carlo methods, quantum spin systems techniques, variational and Green's function Monte Carlo methods, exact diagonalization studies of small clusters, and studies of real-time quantum dynamics by path-integral and related approaches.