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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Additive Manufacturing Processing Methods Location Material Measurement
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processing with recent breakthroughs in densification of ceramics, like cold sintering[2] or ultra-fast high-temperature sintering [3]. Our effort at NIST focuses on developing predictive tools for
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of interfacial roughness and transient phases during ceramic cold sintering process. Acta Mater. 259, 119283 (2023) https://doi.org/10.1016/j.actamat.2023.119283 Keywords advanced ceramic processing
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[email protected] 301.975.4393 Description There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https://jarvis.nist.gov
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division
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fields (PhD is preferred) and have a background in imaging, image analyses, machine learning, and software engineering. References: (1) A. J. Brooks et al, “Neutron interferometry detection of early
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an autonomous platform for developing and testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in
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processing the time series results of individual calculations as well as comparing multiple calculations. Experience with coding, web design and database interactions will help as all source code
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time and length scales to predict the microstructure evolution during the AM build process and post build thermal-mechanical processing. Some of these modeling tools include density functional theory
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well-structured form to the final industrial users. Recent advances in AI (Artificial Intelligence), specifically in NLP (Natural Language Processing) and ML (Machine Learning), are promising for