Showing results for A Data Driven Method for Computing Quasi Potentials.
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9 hours ago · The theoretical results are illustrated in detail for the case of systems of multidimensional quadratic equations, and validated in the context of eigenvalue ...
22 hours ago · quantum systems, relies exclusively on data-driven ap- proximations of the mapping function Ψ. ... Journal of Chemical Theory and Computation. 2022;18(10): ...
22 hours ago · This paper describes a didactic intervention that studies its effects on Computational Thinking (CT), Computational Modeling (CM), and the potential of Transfer ...
16 hours ago · Incorporating the concept of opportunity cost from economics and data-driven quantitative methods ... method of computing social value. We sought to ...
7 hours ago · An efficient method for the computation of nuclear magnetic resonance (NMR) shielding tensors within the random phase approximation (RPA) is presented based on ...
23 hours ago · Data-driven and data-constrained magnetohydrodynamic (MHD) simulations provide a promising tool to utilize observational data and incorporate relevant physics ...
22 hours ago · The EM algorithm [16] is a powerful and well-developed framework for handling models with latent variables, and involves the posterior distribution of the ...
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24 hours ago · Our approach gives a fully predictive theory for generic dynamics close to integrability, encompassing classical systems but also quantum bosonic, fermionic, ...
15 hours ago · We present a target-field approach to analytically design magnetic fields using permanent magnets. We assume that their magnetization is bound to a ...
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2 hours ago · ... based single-particle methods. The deadline for submission is November ... data-driven models to a wide variety of topics. Explore the Articles. Quick ...
Missing: Computing Quasi