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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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). Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD in Chemistry, or a related field. Preferred Knowledge, Skills, and
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, proton, and heavy ion accelerators used to carry out a program of accelerator-based experiments at Brookhaven National Laboratory (BNL). To support this program, the C-AD must design, fabricate, assemble
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Develop a prototype neural network model for modeling strongly correlated materials. Implement and experiment with models using PyTorch and TensorFlow frameworks. Collaborate with team members to evaluate
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, and Abilities: Experience with neutron or x-ray scattering from single crystals Experience with characterizing magnetic and structural dynamics using neutron scattering Modeling neutron scattering from
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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papers and presenting work at seminars and conferences. Required Knowledge, Skills, and Abilities: PhD in physical chemistry, or a related field. Preferred Knowledge, Skills, and Abilities: Experience in
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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simulation, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
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scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) Large scale foundation model for science and engineering; (ii) Causal