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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 Physical Measurement Laboratory are developing a first-of-kind X-ray testbed for operando monitoring of catalytic
This project provides and develops novel computational infrastructure (i.e. data archives, open-source codes, APIs) that support the design, execution, and
Computational materials design requires a variety of tools to model processing-structure-property relationships across a range of time and length scales. This
Our Atomistic Line Graph Neural Network (ALIGNN) models are designed to predict atomistic properties with high accuracy. They can successfully predict single
This additive manufacturing benchmarking challenge asked the modeling community to predict the stress–strain behavior and fracture location and pathway of an
This is the report of a hybrid working group meeting held on April 25, 2023, at the National Institute of Standards and Technology (NIST) in Boulder, CO. The
A methodology is described for obtaining optimum biaxial cruciform specimen designs by combining equibiaxial tension test data with finite element analysis (FEA
In this work, we extend an approach to coarse-grained (CG) modeling for polymer melts in which the conservative potential is parametrized using the iterative
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