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Polyelectrolyte Solutions and Gels

We engage with leaders in the pharmaceutical, dental, and personal care research sectors that rely on water soluble polymers (polyelectrolytes) to develop new

JARVIS-ALIGNN, JARVIS-ALIGNN-FF

Our Atomistic Line Graph Neural Network (ALIGNN) models are designed to predict atomistic properties with high accuracy. They can successfully predict single

Polymer Analytics

The Polymer Analytics project was established with the goal of accelerating the discovery of new polymer physics through the development of datasets, methods

Autonomous Scanning Droplet Cell

We use autonomous experimentation to elucidate the role of composition, processing, and microstructure on the aqueous corrosion of complex metal alloys. To do

Trustworthy Intelligent Networks

NIST is working with industry and academia to improve the trustworthiness and applicability of artificial intelligence and machine learning technologies to

JARVIS-ML

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