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, 7503–7507 (2015) • collaborate with theoreticians at CEMES to compare experiments with the band structure first-principles calculations based on the density functional theory (DFT). The National Intense
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strongly recommended. • High Performance Computing. • Experience with High Throughput Calculations will be valued but it is not essential. • Previous knowledge of Density Functional Theory (DFT) and
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vibrations), and structural (migration of atoms) effects with an atomistic resolution. This can be achieved by self-consistently coupling molecular dynamics (MD), density-functional theory (DFT), and quantum
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will focus on the development of GPU-accelerated GPAW software based on density functional theory (DFT) for constant-potential calculations within a plane-wave framework. The developed software will be
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Functional Theory (DFT), machine-learned force fields (MLFF), graph neural networks (GNNs), or large language models (LLMs). Extensive Knowledge In: • First-principles atomistic simulations with packages
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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in Journal Citation Indexed (JCR) journals. Qualification or experience in any of the following disciplines: Life Cycle Assessment, Density Functional Theory or Materials Experimentation
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. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778. Job Description The Department of Physics at the University of Nevada, Reno invites
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functional theory (DFT), anharmonic lattice dynamics, machine learning force fields, transport, and high-performance computing (HPC). Position Specific Responsibilities/activities: Perform ab-initio
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as