Atomscale
@atomscale-ai.bsky.social
(Formerly Atomic Data Sciences)
AI for atomic scale engineering: advanced materials + synthesis copiloting
AI for atomic scale engineering: advanced materials + synthesis copiloting
Our mission to enable breakthroughs in advanced materials synthesis with state of the art AI is more focused than ever. Visit us at www.atomscale.ai!
Atomscale | Intelligent Atomic Scale Engineering
Atomscale is building the future of atomic-scale engineering, applying AI to enable new material innovations.
www.atomscale.ai
April 11, 2025 at 4:06 PM
Our mission to enable breakthroughs in advanced materials synthesis with state of the art AI is more focused than ever. Visit us at www.atomscale.ai!
Check out how real-time feedback unlocks this: open.substack.com/pub/atomicda...
The Power of Direct Real-Time Feedback for Atomic-Scale Engineering
Atomic-scale engineering aims to create high-performance and high-value materials by controlling the assembly of matter with extreme precision.
open.substack.com
March 21, 2025 at 5:21 PM
Check out how real-time feedback unlocks this: open.substack.com/pub/atomicda...
Our featurization scheme generalizes across materials without customization. Reach out by DM or email info at atomicdatasciences dot com to learn more and try a demo!
December 11, 2024 at 6:56 PM
Our featurization scheme generalizes across materials without customization. Reach out by DM or email info at atomicdatasciences dot com to learn more and try a demo!
We also predict film composition in-process with similar accuracy to expert practitioners. Even within a lab-scale synthesis campaign, applying these predictive models can save hundreds of hours of expert and equipment time.
December 11, 2024 at 6:56 PM
We also predict film composition in-process with similar accuracy to expert practitioners. Even within a lab-scale synthesis campaign, applying these predictive models can save hundreds of hours of expert and equipment time.
We develop workflows to improve the efficiency of materials synthesis and characterization using the tools available in AtomCloud. With just ~10 conventionally labeled synthesis trials, we predict the defect rate of future trials with >80% accuracy.
December 11, 2024 at 6:56 PM
We develop workflows to improve the efficiency of materials synthesis and characterization using the tools available in AtomCloud. With just ~10 conventionally labeled synthesis trials, we predict the defect rate of future trials with >80% accuracy.