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cond-mat.mtrl-sci2026
Scalable machine learning framework for multiphase identification from powder X-ray diffraction
Xinyang Tong, Ethan Jin, Jiahan Xu +3
X-ray diffraction (XRD) is the primary tool for identifying crystalline phases following synthesis, but automated phase identification remains challenging, particularly for multiph…
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…