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This is a tale of two brothers who both found a passion for mechanical engineering research, separated to pursue their own interests in graduate school, and
Accelerating Materials Discovery using Machine Learning and AI Using machine learning and AI techniques along with high-throughput DFT calculations materials with specific properties are identified to accelerate the the discovery process for a variety of applications. Some of the specific materials
Project activities include: Electronic structure of semiconductor-oxide interfaces. Thermodynamics of flexible microporous materials for gas storage Gas adsorption in microporous materials Analysis of topological materials, including magnetic topological insulators High-throughput screening of
Designing New High Temperature Co Superalloys In collaboration with the NIST CHiMaD center, an ICME approach in being used to develop new Co superalloys that are strengthened using an ordered FCC (L1 2) phase (similar to the related Ni-based superalloys). The design goals for these alloys include
Projects: Theoretical Calculations of Near-Edge X-ray Spectra Microcalorimeter X-ray Detector X-ray Spectroscopy and Electronic Structure of Solids X-ray Methods for Chemical Imaging at Micro to Mesoscales
Yechan Noh, Demian Riccardi, Alexander Smolyanitsky
Aqueous cations permeate subnanoscale pores by crossing free energy barriers dominated by competing enthalpic contributions from transiently decreased ion
Quoc Dai Ho, Quang To, Ruiqi Hu, Garnett Bryant, Anderson Janotti
Altermagnetism is a newly identified phase of magnetism distinct from ferromagnetism and antiferromagnetism. RuO2 has been considered a prototypical metallic
Donor-based quantum devices in silicon are attractive platforms for universal quantum computing and analog quantum simulations. The nearly-atomic precision in
OCEAN is a versatile package for calculating both optical/UV and core-edge spectroscopy. It is a first-principles code based on both ground-state density
We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated
GSAS_USE addresses the effects of systematic errors in Rietveld refinements. The errors are categorized into multiplicative, additive, and peak-shape types
Over 10 independent digital image correlation (DIC) measurement systems are available in the NIST Center for Automotive Lightweighting. The majority of these
An intermediate strain rate test machine is available in the NIST Center for Automotive Lightweighting. The actuator for this test machine can move at speeds up
Thermal imaging systems are available in the NIST Center for Automotive Lightweighting. These cameras can be used to measure adiabatic heating during mechanical
A variety of uniaxial test machines are available in the NIST Center for Automotive Lightweighting. These include servo-hydraulic and screw-driven test frames