Company intelligence
Physics Inverted Materials (PHIN)
Multi-scale Machine Learning Models for Materials Design
About Physics Inverted Materials (PHIN)
Physics Inverted Materials is commercializing machine learning methods to accelerate materials development. We are focusing first on accelerating atomic scale simulations to develop new materials that undergo reactions in the bulk and at interfaces. We are developing PHIN-atomic, a software tool that automatically trains a machine learning interatomic potential (MLIP) for running high accuracy molecular dynamics simulations. Our software is based on our innovative uncertainty quantification tools that improve the training of our machine learning models.
Verified activity
Signals from Physics Inverted Materials (PHIN)
2 published signals
Products & Services
Physics Inverted Materials (PHIN) announced the release of its second-generation materials development platform, PhinOS, which extends the uncertainty-aware MLIPs to allow R&D departments to manage hundreds of tasks simultaneously.
Reported by Physics Inverted Materials (PHIN)
Products & Services
Physics Inverted Materials (PHIN) released PhinOS, a new operating system for managing thousands of experiments.
Reported by Emil Annevelink