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to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org/10.6028/jres.123.004 key words Molecular simulation; Monte Carlo
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be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high
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to determine these materials’ chemical structure and its effect on their properties. This project will use theoretical modelling (density-functional theory and Monte Carlo calculations) to investigate
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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The use of Monte-Carlo computational
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the development and refinement of Monte Carlo simulation generators to accurately model neutrino interactions with various target materials. Detailed comparisons of these simulations to data from existing neutrino
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, including sequential Monte Carlo methods, Gaussian processes and Bayesian compressed sensing. Applicants from different backgrounds are encouraged to apply depending on the specific nature of the project
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polymer crystal growth that would reproduce quantitatively experimental data in different polymeric systems with different self-poisoning mechanisms, that classical theories were unable to handle. Monte
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computational tools to predict materials properties at the quantum level. In addition, electronic structure methods that go beyond the accuracy of DFT such as Quantum Monte Carlo, GW, and other advanced
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the Monte Carlo simulations used to estimate these backgrounds in Higgs boson analyses and searches for New Physics. The primary objective of the research is the development of the analysis