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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
Oscar Parades Mellone, Michael Nielsen, Jeffrey Babicz, John Vinson, Trevor Willey, Dimosthenis Sokaras
We employed cryogenic X-ray Raman spectroscopy to investigate the early-stage decomposition of the high explosive molecule hexanitrohexaazaisowurtzitane (CL-20)
Nathan Mahynski, David Sheen, Rick Paul, Huaiyu Chen-Mayer, Vincent Shen
We trained deep convolutional neural networks (CNN) to classify a material based on its prompt gamma ray activation analysis (PGAA) spectrum. We focused on two
Bo Sundman, Fabio Miani, Axel van de Walle, Bengt Hallstedt, Ursula Kattner, Florian Tang, Taichi Abe, Reza Naraghi, Erwin Povoden-Karadeniz, Aurelie Jacob, Shuanglin Chen, Richard Otis, Kazuhisa Shobu, Malin Selleby, Alexander Pisch
The Calphad method uses models which depend on assessed parameters to describe the thermodynamic properties of materials. These model parameters are assessed by
Veruska Malave, Newell Moser, Edward Garboczi, Mark McLinden, Jason Widegren, Christopher Suiter
Our earlier work demonstrated that nuclear magnetic resonance (NMR) spectroscopy is a viable technique for in situ analysis of vapor–liquid equilibria (VLE) of
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
This software package implements functions to simulate spherical, ellipsoid and cubic polyatomic nanoparticles with arbitrary crystal structures and to
We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated
The newly renovated solid-state NMR facility at the NIST Material Measurement Laboratory houses two spectrometers, 300 MHz and 100 MHz, primarily used for