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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
From the branching pattern of leaf veins to the variety of interconnected pathways that spread the coronavirus, nature thrives on networks — grids that link the
NIST’s Material Measurement Laboratory and Communications Technology Laboratory are developing a new spectroscopy for intermolecular interactions. The team is
The Polymer Analytics project was established with the goal of accelerating the discovery of new polymer physics through the development of datasets, methods
JARVIS-ML is a repository of machine learning (ML) model parameters, descriptors, and ML related input and target data. JARVIS-ML is a part of the NIST-JARVIS
Develop a materials innovation infrastructure for the design and discovery of inorganic materials to reduce the time and cost for deploying new materials into
Surya Chandramouleeswaran, Adam Creuziger, Kip Findley
A new method for pole figure measurement is described, titled a dynamic segmented spiral scheme. Compared to schemes currently in use, the dynamically segmented
Dilip K. Banerjee, Kali Prasad, Aishwary Gupta, Hariharan Krishnaswamy, Uday Chakkingal, Myoung-Gyu Lee
Servo press forming machines are advanced forming systems that are capable of imparting interrupted punch motion, resulting in enhanced room temperature
Dilip K. Banerjee, Kali Prasad, Deepak Kumar, Krishnaswamy Hariharan
Swift hardening law is one of the most widely used phenomenological models to describe flow stress-strain behavior in sheet metal forming simulations. In the
Linking the physics of the relaxation behavior of visco-elastic fluids as they form arrested gel states to the underlying nano-scale structure and energetic
GSAS_USE addresses the effects of systematic errors in Rietveld refinements. The errors are categorized into multiplicative, additive, and peak-shape types
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