Oganov-ML

Official Resources

• Homepage: https://uspex-team.org/
• Source Repository: Distributed with USPEX
• Documentation: https://uspex-team.org/
• License: Proprietary / Academic

Overview

Status: ℹ️ MODULE / METHOD

"Oganov-ML" refers to the machine learning methodologies developed by Artem Oganov's group and integrated into the USPEX code. These include:

• Fingerprinting: Structural fingerprints for diversity analysis.
• Evolutionary Metadynamics: Exploring energy landscapes.
• ML Potentials: Accelerating local optimization using on-the-fly learning.

It is not a standalone tool but a set of features within USPEX.

Recommendation

Refer to the USPEX documentation.

Verification & Sources

• Confidence: ✅ VERIFIED (As features of USPEX)
• Primary Source: USPEX Website