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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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technology integrated into the latest supercomputers, unique opportunities exist to significantly improve the time-to-solution for monitoring emerging pathogen variants. Our group has made several novel
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should have a strong background in experimental physics and/or engineering, or in a relevant field. Experience in superconducting qubits, nanofabrication, photonics, and low-temperature experiments
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this work we investigate how molecular materials coupled to solid-phase scaffolds may influence molecular motion, photoinduced kinetics, charge dynamics, and assembly durability. The work will target
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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis