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-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Machine learning; Density functional theory; force
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calculations will be. The mathematical model will be defined based on the shape of the heat source and the heat flow density. At the same time, it is essential to consider the thermophysical and mechanical
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control and quantum computations. Current research topics in the group include density functional theory calculations of atomic and molecular systems on surfaces, inclusion of electronic correlations
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understanding of new flame-retardant electrolyte for sodium-ion (Na-ion) batteries. Where to apply Website https://skk.erecruiter.pl/Offer.aspx?oid=4802759&cfg=f9259847cda849b087ecf2d046… Requirements Research
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of new flame-retardant electrolyte for sodium-ion (Na-ion) batteries Where to apply Website https://skk.erecruiter.pl/Offer.aspx?oid=4802762&cfg=f9259847cda849b087ecf2d046… Requirements Research
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candidate who will study the role of condensates and phase separation for signal transduction as a function of biomass density with increasing cell confluence. We want to study how cells stop protein
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literature, but still lacking in the case of multicomponent powder blends. The knowledge of powder properties such as bulk density, flowability, compresibility, permeabilty, wetting or redispersibility in
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Laboratoire de Chimie Théorique, Sorbonne Université & CNRS | Paris 15, le de France | France | 7 days ago
not yet exist. The project aims to develop new electronic structure methods, in particular within the framework of density functional theory (DFT), based on a variational formulation of QED. The work
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neuromorphic computing capabilities The goal is to significantly increase the density of processed information and computational efficiency, while exploiting a spatiotemporal dimensionality for the
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the thermal conductivity of high-entropy oxides. This will involve evaluating the architecture of available machine learning interatomic potentials, generating the training data using density functional theory