Atomic Tessellator utilizes AI-driven simulations in thermodynamics and molecular mechanics to identify and verify materials with desirable properties. The platform enables researchers to efficiently explore complex workflows and accelerate the discovery of advanced materials, addressing the challenges of time-consuming and resource-intensive material research.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional materials research is time-consuming and resource-intensive, often involving complex workflows and extensive experimentation to identify materials with desired properties. Researchers face challenges in efficiently exploring vast chemical spaces and verifying the performance of candidate materials.
Solution
Atomic Tessellator is an AI-driven materials science platform that accelerates the discovery of advanced materials by leveraging simulations in thermodynamics and molecular mechanics. The platform enables researchers to efficiently explore complex workflows, search for materials with specific properties, and verify promising candidates through GPU-accelerated simulations. Users can upload their own material structures or query a database of millions of materials, refine search results based on simulation outcomes, and iterate on new ideas using a user-friendly graphical interface. For sensitive research, Atomic Tessellator can be deployed on private cloud infrastructure, including AWS, Azure, and GCP.
Target Audience
The primary users are materials scientists, researchers, and engineers in academia and industry who are involved in the discovery and development of advanced materials.
Features
- AI-assisted similarity search for materials with desirable properties.
- GPU-accelerated simulations for verifying material performance.
- Ability to upload custom material structures or query an extensive database.
- Tools for creating and managing complex simulation workflows.
- User-friendly graphical interface for rapid iteration and experimentation.
- Option to deploy on private cloud infrastructure (AWS, Azure, GCP).