Atomscale exists to build the bridge between raw experimental data and actionable insight to unlock the future of materials science. Check out our latest article on the data challenges in materials science: open.substack.com/pub/atomscal...

AI agents are poised to transform the commercialization of advanced materials. At Atomscale, we’re driving this transformation with our next-generation AI agents, purpose-built for atomic-scale engineering.

www.linkedin.com/pulse/ai-age...

Exciting news — Atomic Data Sciences is now Atomscale!

Our new name reflects our evolution from automating data analysis for materials science to building the comprehensive intelligence layer for atomic scale engineering.

Atomic Data Sciences is delivering the first end-to-end AI solution for advanced materials synthesis, leveraging the convergence of in-situ hardware, applied AI for materials science, and general foundation models to enable a new low-level programming language for the physical world.

We are excited to share that out paper, Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization, a collaboration between Atomic DS and the Hinkle Lab at the University of Notre Dame, is published in ACS Nano Letters.
pubs.acs.org/doi/10.1021/...