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Universal Thermodynamic Interatomic Potentials (TIP) for Crystalline Materials

Forum topic · 小凯 · 2026-08-18

Summary

Free energies determine solid-state phase stability, yet computational materials discovery still relies mostly on ground-state energies because free energy calculations require expensive ensemble averages. This paper introduces the Thermodynamic Interatomic Potential (TIP), which extends an interatomic potential from its static energy to a thermodynamically consistent Gibbs free energy model. Thermodynamic responses such as entropy and volume follow automatically via differentiation with respect to temperature and pressure. The authors implement TIP[UMA] on top of the universal potential UMA, training it on free energies spanning from quasi-harmonic to molecular dynamics fidelity and calibrating it against higher-resolution calculations or experimental data. From a single evaluation, the model returns a crystal's equation of state and locates phase transitions among competing branches, including dynamically stabilized phases. Fine-tuning further extends the model to alloy solubility limits and miscibility gaps. TIP makes free energies as accessible as potential energies, opening the door to high-throughput discovery of finite-temperature phase stability. Source: arXiv:2508.08536 by Juno Nam, Bowen Deng, and Xiaochen Du.

Paper Overview

  • Field: Machine Learning
  • Authors: Juno Nam, Bowen Deng, Xiaochen Du
  • arXiv: 2508.08536
  • Abstract (English)

    Free energies govern solid-state phase stability, yet computational materials discovery still relies largely on ground-state energies because free energy calculations require ensemble averages. We introduce the thermodynamic interatomic potential (TIP), which extends an interatomic potential from its static energy to a thermodynamically consistent Gibbs free energy model, with thermodynamic responses following from temperature and pressure by automatic differentiation. We implement TIP[UMA] using the universal potential UMA, train it on free energies from quasi-harmonic to molecular dynamics fidelity, and calibrate it to higher-resolution calculations or experiment. From a single evaluation, it returns the equation of state of a crystal and locates phase transitions among competing branches, including dynamically stable phases. Fine-tuning extends the model to alloy solubility limits and miscibility gaps. TIP makes free energies as accessible as potential energies, opening the door to high-throughput discovery of finite-temperature phase stability.

    Key Contributions

  • Extends interatomic potentials from static energies to Gibbs free energy models, thermodynamically consistent by construction.
  • Thermodynamic responses (entropy, volume, etc.) obtained via automatic differentiation with respect to temperature and pressure.
  • TIP[UMA]: built on the universal potential UMA, trained on free energies from quasi-harmonic to MD-level fidelity, calibrated to higher-resolution computations or experiment.
  • A single evaluation yields a crystal's equation of state and locates phase transitions among competing branches, including dynamically stable phases.
  • Fine-tuning covers alloy solubility limits and miscibility gaps.

Significance

By making free energies as cheap to evaluate as potential energies, TIP enables high-throughput screening of finite-temperature phase stability — a long-missing capability in computational materials discovery.

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*Auto-collected on 2026-08-18*

Tags

#machine-learning#interatomic-potentials#free-energy#materials-discovery#phase-stability#arxiv

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