Intelligent Solutions to Material Problems.
Accelerate your research
Get to applications faster and cheaper by applying Artificial Intelligence (AI) to rational design based on expert understanding of solid state physics and chemistry.
Get to applications faster and cheaper by applying Artificial Intelligence (AI) to rational design based on expert understanding of solid state physics and chemistry.
Our unique AI engine relates properties to structure calculated both from first principle and also leverages large materials data sets. Whether you want to explore a set of materials and anticipate properties before investing in fabrication and testing, or if your research needs to look at materials from first principles - Material Mind can help.
Material Properties and Applications narrowing the material set that has to be tested, saving time and money
Get to device architecture faster; we bridge the gap between idea and usable materials
Augment the intelligence of your team leading to new discoveries faster
AI is leading a transformation in business around the world in every industry - it is changing both the way we approach problems and freeing us from mundane tasks.
Research is no different. AI will accelerate research and development by augmenting the intelligence of scientists and engineers. It will not replace us, but instead help us do more, better, and faster.
Rather than spending millions of dollars iterating through a materials parameter space, hoping for serendipitous discovery, let us help you apply advances in computing to advances in theoretical sciences with the result being a reasonable set of materials to test.
Tailored materials to your needs
Manufacturing process feasibility built in
AI can rapidly, at a relatively low cost, bring together materials and their applications
You have the best tools in your labs to assist you in your research, now have artificial intelligence augment your ability to work through problems.
Interactive, searchable, databases of properties and applications
On demand calculation of properties from simple 2-d gases to higher order properties such as spin orbit coupling
Partnership in exciting areas of research such as topological condensed matter physics
A bridge from the research lab to industry
Strategic partnership across a variety of disciplines
The ability to quickly get to the field
Alexander von Humboldt Sofia Kovalevskaja Group Leader @ MPI for Microstructure Physics, Halle
PostDoc @ IBM Almaden; PhD Chemistry and Materials @ Princeton.
Supervisor @ NASA’s Stratospheric Observatory for Near Infrared Astronomy (SOFIA)
Developed materials, device, and system level solutions for DOE, DOD, DARPA, NSA, and NASA.
PostDoc @ Martin Luther University at Halle-Wittenberg; PhD Biology @ Martin Luther University at Halle-Wittenberg
PostDoc Chemical Engineering/Quantum Chemistry @ Clemson University; PhD Chemical Engineering @ University of Puerto Rico - Mayaguez
Masters in Chemical Engineering/Quantum Chemistry @ Clemson University;
Bachelors in Oleochemicals Chemistry @ Institute Of Chemical Technology - Mumbai
Senior PhD student in experimental solid-state physics @ Max Planck Institute of Microstructure Physics
Masters in Computer Science @ Humboldt University at Berlin