Consulting
We provide advice and guidance for building high throughput workflows, AI/ML model and robotic synthesis lab.
AI-Driven Autonomous Materials Discovery
Accelerating materials innovation through AI/ML and lab automation.
We combine high throughput materials simulation, AI/ML and robotic synthesis to help teams discover, evaluate, and optimize next-generation materials.
4,280
candidate compounds screenedSynthesizability
Performance
Corrosion resistance
AI model
Powered by specialized database
DFT
Automated calculation flow
Services
Design materials with complexity.
High throughput calculations
We are emphasizing on building up workflows for high throughput calculations from different scale and theoretical frameworks.
High-Throughput Experiment
We design workflow and orchestration system to enable high throughput experimentation, from synthesis, characterization to property measurements.
Specialized AI/ML models
We develop and deploy domain specific AI/ML models to solve specialized materials science problems.
Approach
From computational design to close-the-loop materials discovery.
We accelerate materials scale-up through specialized databases, integrated theory-experiment workflows, and dedicated AI/ML tools for materials prediction and optimization.
01
High throughput DFT simulation
02
ICME and CALPHAD-based materials database
03
Predictive physical or machine learning model
04
Autonomous laboratory
Team
Built by active researchers in materials science.
We are active researchers in materials science and engineering, developing computational and experimental approaches to accelerate materials discovery.
Dr. Bin Ouyang
Founder / Professor
Vanderbilt University
Dr. Bin Ouyang did PhD at McGill University in Materials Engineering, followed by postdoctoral training at UC Berkeley in Materials Science and Engineering. He currently leads a research group at Vanderbilt University working on data-driven materials design.
Dr. Yan Zeng
Co-Founder / Professor
Vanderbilt University
Dr. Yan Zeng did PhD at McGill University in Materials Engineering, followed by postdoctoral training at Lawrence Berkeley National Laboratory. She currently leads a research group at Vanderbilt University working on lab automation for energy materials and sustainability.
Contact
Have a materials challenge?
Tell us what you are trying to discover, optimize, or understand. We will help translate the problem into a clear computational plan.
contact@matterfoundry.ai