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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery
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in interdisciplinary fields, knowledge of codes in related disciplines, such as thermal hydraulics, actinide chemistry, fuel cycle analysis, particle physics, or uncertainty quantification. A minimum
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various experimentally measured responses. Major Duties/Responsibilities: Hot hardness testing and postmortem Spherical indentation and postmortem Estimate critical particle size associated with the brittle
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magnets, batteries, and semiconductors from mined resources and electronic waste, as well as separations for bioenergy applications. Develop new research directions and contribute to proposals for external
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background in using the most advanced ab-initio methods to examine electronic, topological and magnetic properties of advanced materials, their defects and their interphases. The incumbent will have
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quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG, and quantum Monte Carlo. Familiarity with inelastic neutron scattering
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research and development in the areas of gauge field generation, linear and eigen-solvers, or novel analysis methods. This position will reside in the Advanced Computing for Nuclear, Particle and
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resides in the Neutrino Research Group in the Fundemental Nuclear & Particle Physics Section, Physics Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our
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will develop materials and processing technologies that will result in a transformational improvement in gallium and Germanium and rare earth magnetic material extraction methods from naturally occurring