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of structural correlations in spin-orbit coupled systems using single crystal diffuse scattering measured at synchrotron x-ray facilities. The data will be analyzed using advanced computational methods
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of machine learning in electronic structure calculations and advanced sampling. The postdoctoral researcher will work within the groups of Professor Giulia Galli (https://galligroup.uchicago.edu/ ) and Dr
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models for high-temperature structural materials, such as metals and ceramics, with applications in nuclear reactors, concentrating solar power, thermal energy storage, and other energy systems
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module construction program. The candidate is also expected to participate in physics research carried out within the ANL ATLAS group. The group has strong involvement in Standard Model physics
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this technique to study the effect of irradiation on the properties of structural materials. The appointee will work with a multi-disciplinary team of Argonne scientists spanning several divisions including XSD
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related field. Computational materials modeling using electronic structure theory-based codes: (Gaussian, VASP, CP2K, QBox), molecular dynamics code (ASE, LAMMPS, OpenMM, Hoomd-blue), ML frameworks (JAX
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computational techniques, including sophisticated electronic structure methods. The work also includes some computer programming to facilitate computational workflows and to perform additional processing
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structure cosmology. The applicant would work with Andrew Hearin on forward modeling the galaxy--halo connection in a broad scientific program related to DESI, LSST, and CMB-S4 cross-correlations
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teamwork. Applicants should have expertise in some of the following: Density functional theory/molecular dynamics modeling of materials, e.g. high throughput calculations, structure prediction, classical
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In this position, you will characterize and analyze the behavior of nuclear fuels and structural materials used in current- and next-generation nuclear energy systems and research reactors. You will