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of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific
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. Together, you will help advance a key scientific discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors
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scale engineering of compounds and materials. You will work in the Academy Research Fellowship project “SAMPALE: Towards realistic atomic layer deposition reaction models aided by enhanced sampling and
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