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, HEP-Theory (hep-th) , High energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High
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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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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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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
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there are legal requirements, such as a license, certification, and/or registration. Additional Requirements Expertise in ab initio molecular dynamics, density functional theory and high-performance computing
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 13 hours ago
# Completed university studies (PhD) in the field of Physic, Chemistry or a related field # Advanced and in-depth knowledge of electronic structure theory # Strong and highly developed expertise in density
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Group provides a quantum-mechanical description (primarily via density functional theory, effective Hamiltonian methods, and machine-learning tools) of the unique properties of topological materials and
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. The project will start with the investigation of (Ga,Sn)Pd2 surfaces, using density functional theory, surface diffraction (experiments at SOLEIL). The project will take place at IJL. Funding category: Contrat
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to reduce the amount of required training data while maintaining high predictive accuracy. Methods and Techniques : Density Functional Theory, Machine Learning for atomistic modeling Location : Institut Jean
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density functional to ab initio methods coupled to effective field theory) and related numerical and formal techniques. We are particularly fond of interdisciplinary connections and emerging technologies