This study guides the discovery of sustainable high-performance polymer membranes for organic binary solvent separations. We focus on solvent diffusivity in polymers, a key factor in quantifying ...
The future of polymer innovation is being shaped by two transformative forces: artificial intelligence and sustainable materials design. Together, they are redefining how chemists discover, optimize, ...
Researchers have created a high-performance polymer that can be chemically recycled without compromising its heat and chemical resistance. The revolutionary design includes a directing group that ...
A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...
What if polymer discovery could be accelerated with experiments, simulations, and AI continuously informing one another in a closed loop? Join Adam Gormley of Rutgers University and Plexymer, Inc. and ...
In this study, we combine machine learning, domain expertise, and experiment to solve the inverse-design problem for polymers. Our framework (Fig. 1) has three parts: (1) data curation (defining ...
BOSTON--(BUSINESS WIRE)--Nanite Inc. announced today the closing of a $6M seed investment round to advance their AI-driven polymer design platform focused on next-generation, non-viral gene delivery.
New robust polymers that are chemically recyclable. Introducing a directing group enables catalytic cleavage of strong chemical bonds, allowing controlled degradation of robust polymers into monomers.
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