Materials Project
A materials science computational platform developed by Microsoft that uses AI to predict the electronic structure, thermodynamic properties, and synthesis feasibility of materials, supporting new material discovery and screening.
Timeline (last 90 days)
Typical tools in materials informatics include databases based on density functional theory (DFT) (such as Materials Project) and generative models, used for inverse design of new materials with target properties.
Databases such as Materials Project, OQMD and AFLOW have accumulated hundreds of thousands of first-principles calculation results, covering properties such as formation energy, band gap and magnetic moment.
Microsoft's Materials Project and various large language models are being used to predict the electronic structure, thermodynamic properties, and synthesis feasibility of materials.
All Facts (3)
Typical tools in materials informatics include databases based on density functional theory (DFT) (such as Materials Project) and generative models, used for inverse design of new materials with target properties.
50%UnverifiedDatabases such as Materials Project, OQMD and AFLOW have accumulated hundreds of thousands of first-principles calculation results, covering properties such as formation energy, band gap and magnetic moment.
50%UnverifiedMicrosoft's Materials Project and various large language models are being used to predict the electronic structure, thermodynamic properties, and synthesis feasibility of materials.
50%