Reinvent Material Design & Synthesis
Our mission is to accelerate the development of groundbreaking ceramic and amorphous materials through advanced AI methodologies, ensuring efficient synthesis and testing processes.
Ab Initio Design and Synthesis, At Scale
Ab initio materials design is one of the hardest problems in science because it sits at the intersection of theory, computation, and synthesis. If we start from first principles, the design of materials with stable atomic structure involves navigating an enormous, high-dimensional search space with countless local minima, far too many for ab initio simulation to be cost effective. Beyond that, design of synthesis pathways involves complex thermodynamic and kinetic barriers that cannot yet be fully modeled. Beyond that, the cost of physical synthesis and testing can be unacceptable, even with robotic equipment.
Our goal is to scale ab initio design and synthesis by elevating the level of abstraction from basic principles to AI-generated heuristics.
Ab Initio Design at Scale
We use AI to accelerate ab initio materials design. By fusing physics-based modeling with AI-generated heuristics, and by keeping human experts in the loop, we reduce the search space from exascale to feasible.
Ab Initio Design at Scale
We use AI to accelerate ab initio materials design. By fusing physics-based modeling with AI-generated heuristics, and by keeping human experts in the loop, we reduce the search space from exascale to feasible.
Synthesis Part of the Design
We embed synthesis in the design loop, thus turning theoretical predictions into tangible discoveries. Our diffusion models suggest synthesis pathways, which are then ranked by our AI-generated heuristics.
Ab Initio Design at Scale
We use AI to accelerate ab initio materials design. By fusing physics-based modeling with AI-generated heuristics, and by keeping human experts in the loop, we reduce the search space from exascale to feasible.
Explore the future of AI-driven material innovation.
Join us as we revolutionize the development of new ceramic and amorphous materials. Our approach combines cutting-edge AI techniques with traditional methods to create faster and more efficient pathways for material invention.
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High Quality Service
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High Quality Service
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High Quality Service
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High Quality Service
We are hiring!
We are looking for materials scientists, physicists, and chemists eager to shape the future of intelligent materials discovery.