AI powered materials design simulations tested and proven through AI driven lab automation.
Solves Schrödinger equation to simulate material's properties on the atomic scale.
Captures the structure-property relationship of materials in Density Functional Theory (DFT) data and enables enables fast property prediction.
Simulates complex processes with efficient statistical sampling using repeated trials to estimate probabilities.
Predicts the microstructure evolution and macroscopic properties based on Density Functional Theory (DFT) and cluster expansion data.
Wonder how different atomic arrangements can change the performance of the materials? You can simulate many mechanical, electrical and thermal properties with a click of a button.
Simulate microstructure evolution of your material using our Phase Field engine. Our easy and intuitive user interface allow both experts and non-specialists to gain deep insights!
Stable or unstable? Solid solution or phase separation? Wonder no more. You can see the phase diagram of you material composition using our Phase Diagram engine, powered by quantum simulations and AI.
Disorders in modern battery electrodes makes it challenging to understand their behavior. PhaseTree makes it easy to simulate order-disorder phase transition, open-circuit voltage profile and more!
Interested in alloys that go beyond light doping? You can design alloys by analyzing stable phases with our Phase Diagram engine and simulate the microstructure evolution with our Phase Field engine.
Dendrite formation at the electrode surface is a leading cause of the battery failures. PhaseTree’s Phase Field engine makes it easy to simulate the dendrite formation based on the material compositions and operating conditions.
Deployed a cloud-based multiscale simulation platform
Successfully completed our Innobooster application titled “Development of Multiscale Materials Simulation Platform for Battery Applications,”