cond-mat.mtrl-sci

Papers

• MiAD: Mirage Atom Diffusion for De Novo Crystal Generation (2026)
  Andrey Okhotin et al.
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• FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates (2026)
  Zishuo Lan et al.
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• Non-normal spectral signatures of instability in neural network training dynamics (2026)
  Souvik Ghosh
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• Reinforcement Learning for Laser Additive Manufacturing Scan-Order Optimisation: A Bilevel Proxy--FEA Diagnostic Framework for Reward and World-Model Diagnosis (2026)
  Xian Wu et al.
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• Machine Learning Multiscale Interactions (2026)
  \`Alex Sol\'e et al.
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• UNATE: UNsupervised ATomic Embedding for crystal structures property prediction (2026)
  Laura Sol\`a-Garcia et al.
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• LEIA: Learned Environment for Interactive Architected Materials (2026)
  Haiqian Yang et al.
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• Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina (2026)
  Julian Schmid et al.
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• What drives performance in molecular MPNNs? An operator-level factorial benchmark (2026)
  Panyu Jiao et al.
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