Physics Inverted Materials is developing PHIN-atomic, a software tool that utilizes machine learning to create interatomic potentials for high-accuracy molecular dynamics simulations. This technology accelerates atomic scale simulations, enabling faster development of new materials that can undergo reactions in bulk and at interfaces.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing new materials with specific properties requires extensive and time-consuming atomic-scale simulations. Traditional methods for these simulations often lack the accuracy needed to model complex reactions in bulk materials and at interfaces, hindering the discovery of novel materials.
Solution
Physics Inverted Materials is developing PHIN-atomic, a software tool that leverages machine learning to generate highly accurate interatomic potentials. These potentials are then used in molecular dynamics simulations, significantly accelerating the process of materials discovery and development. By providing a more precise and efficient simulation environment, PHIN-atomic enables researchers to explore a wider range of material compositions and reaction pathways, leading to the faster identification of materials with desired characteristics.
Target Audience
The primary users are materials scientists, engineers, and researchers in academia and industry who require accurate and efficient atomic-scale simulations for materials discovery and development.
Features
- Machine learning-driven generation of interatomic potentials
- High-accuracy molecular dynamics simulations
- Accelerated atomic-scale simulations for materials development
- Capability to model reactions in bulk materials and at interfaces