
Physics Inverted Materials is focused on developing innovative machine learning models to accelerate materials development, particularly in atomic scale simulations. Their unique approach incorporates advanced uncertainty quantification tools, enhancing the accuracy and efficiency of simulations for materials across the periodic table. This positions them strongly in the materials science market, catering to industries that require rapid and reliable materials development.

Physics Inverted Materials is focused on developing innovative machine learning models to accelerate materials development, particularly in atomic scale simulations. Their unique approach incorporates advanced uncertainty quantification tools, enhancing the accuracy and efficiency of simulations for materials across the periodic table. This positions them strongly in the materials science market, catering to industries that require rapid and reliable materials development.
Founded: 2023
Headquarters: Pittsburgh, Pennsylvania, USA
Core product: PHIN-atomic (ML interatomic potentials) and PhinOS (simulation platform)
Mission: Accelerate materials development from decades to months via AI-driven simulation
Team size (reported): 3
Materials discovery and atomic-scale simulation
2023
DeepTech
500000
Pre-seed round reported June 8, 2024; public profiles obfuscate lead investor details