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Gaithersburg

Integrated Nanoscale Experimentation, Prediction, and Validation

The increased performance of modern computational systems has enabled the size and time scales of materials models to be increased significantly. In parallel

NIST/MML Center for Theoretical and Computational Materials Science

Uncertainty Quantification in Computational Materials Science

We are investigating and promoting applications of uncertainty quantification to problems in computational material science. Detailed investigation of promising

Materials Data Curation System

DFT Benchmarking

DFT is a widely used computational technique in the material science community and it provides interpretative tools for understanding experimental results as

High-Precision Structural Measurements

Atomic arrangements underpin the properties of all solids and, as such, are fundamentally important for materials development. The power of computational

Materials Data Repository

The NIST Materials Data Repository is open to the research community interested in developing best practices in the management of materials data. We are

Materials Design Toolkit

This framework provides the generic environment for materials design. The ICME (Integrating Computational Materials Engineering) approach is implemented for

Object Oriented Finite Elements (OOF)

OOF is a collaborative effort between the Information Technology Laboratory and the Material Measurement Laboratory at NIST. The intended audience of the OOF

ASM Structural Materials Data Demonstration Project

The ASM Structural Materials Data Demonstration Project SMDDP) is a cooperative research project with the NIST Materials Measurement Laboratory (MML) that is

NIST Materials-focused Empirical Potentials Repositories and Efforts

Because classical empirical potentials/force-fields are widely used to model material behavior via Molecular Dynamics or Monte Carlo simulations, NIST

Modeling Photon Absorption in Composite Resin Systems

Control over spatial uniformity in a photopolymerized material is important for homogenous physical properties. Unintended spatial variations in polymeric

Computational Design of Photopolymerized Materials

The Biomaterials Group develops advanced measurement capabilities and measurement assurance strategies for characterizing biomaterials, biological systems, and

Machine Learning for Materials Research: Bootcamps and Workshops

Over the last several years machine learning has gained increased attention in the material science community. The ability to perform high throughput in silico

Assessment of Uncertainty in CALPHAD Descriptions

This project addresses the development of methods for uncertainty quantification for CALPHAD descriptions.

Statistical modeling of images of electronic materials

To develop components of electrical devices at the scale of a few atoms for supercomputer, communications and health care technologies, a quantitative

Statistical methods for MGI metrology

We are developing statistical methods to enable measurement science and metrology for MGI (project started in 2011).

JARVIS-DFT

JARVIS-DFT (Website: https://www.ctcms.nist.gov/~knc6/JVASP.html ) is a materials property repository focused on density functional theory (DFT) predictions of

Facilitating the Development of Modular Data Models in Materials Science

The Materials Data Curation System has the potential to accelerate interoperable data exchange within materials science and engineering. This platform is

MGI Code Catalog

The MGI Code Catalog represents an extensive collection of information about software relevant to computational materials science and materials data analysis

Searching the ICSD for new functional materials from first principles

The Inorganic Crystal Structure Database (ICSD, SRD 3), maintained at NIST, contains over 100,000 crystal structures which are known to exist and could

Structural and kinetic data for validation of organic photovoltaic thin film design and processing tools

Organic photovoltaics (OPV) represents the most challenging use case for soft matter ICME within the CHiMaD portfolio of use cases. Recent empirical advances in

OpenCALPHAD

OpenCalphad (OC) is an informal international collaboration of scientists and researchers interested in the development of high quality software and databases

CHiMaD Phase Field Community

Website | Gitter Chat In January 2015 a group of phase field theorists and code developers met at the headquarters of the Center for Hierarchical Materials

2017 APS Fellow - Jacob Taylor

For his wide ranging contributions in using quantum properties of light and matter towards developing applications ranging from extreme sensitivity sensors and transducers to quantum information processing.

Person holding wallet card showing the values of fundamental constants being used for revising the International System of Units, the modern metric system.

Bringing the World Closer to Revised Measurement System, Scientists Update Four Key Fundamental Constants

October 23, 2017

Paving the way for transforming the world’s measurement system, an international task force has determined updated values for four fundamental constants of...

ACMD Seminar: Designing Resilient Cyber-Physical Systems

Aron Laszka Department of Computer Science, University of Houston Wednesday, October 25, 2017, 11:00 – 12:00 Building 222, Room B263...

The Cyber Risk Analytics Project Review Workshop

Thu, Oct 26 2017, 10:00am - 12:00pm EDT

The purpose of this workshop is to review with participants, sponsors, and key interested parties the findings and

Body Armor and Related Materials

Body armor provides protection from penetrating and blunt force phenomena. Generally, body armor is classified as either being ballistic resistant or stab resistant, or both. The STG performs research that supports the standardization of both types of body armor. These research activities span the range from examining fundamental material behavior through system level performance.

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