most citedThermodynamic assessment of machine learning models for solid-state synthesis prediction

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cond-mat.mtrl-sci2026★ 1 cited

Thermodynamic assessment of machine learning models for solid-state synthesis prediction

Jane Schlesinger, Simon Hjaltason, Nathan J. Szymanski +1

Machine learning models have recently emerged to predict whether hypothetical solid-state materials can be synthesized. These models aim to circumvent direct first-principles model…