Welcome!
DeepMaterials LLC provides artificial intelligence and quantum computation based software tools and consulting for materials, nano- and bio-tech companies, national labs and universities.
Accelerated discovery and design of molecular, solid-state and protein materials with our state of the art universal deep-learning models,
Guide experimental set-up for maximum effectiveness with our AI-experiment toolkit,
Developing quantum algorithms for materials design,
Improve human-machine web-interface for materials-data,
Provide web-interface for improved collaborations among individual researchers
Try SLMat, our latest ServerLess Materials design toolkit
At DeepMaterials, we are committed to developing and delivering secure, scalable research solutions for materials science through innovative platforms like the SLMat project. If you find value in our work or support our mission, we kindly ask for your support. Our everlasting and infinite gratitude to you!.
Recent advances and applications of deep learning methods in materials science
Graph neural network predictions of metal organic framework CO2 adsorption properties
Atomistic Line Graph Neural Network for improved materials property predictions
Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models
Google Scholar Page: Articles with DeepMaterials affiliation on it.
Air Force Research Laboratory
Microsoft
E-mail: deepmaterialsllc@gmail.com
Address:
14030 Connecticut Ave, PO Box 9113, Silver Spring, MD 20906