Here, ¯αt and βt are the variance of each diffusion step controlled by the cosine scheduler adopted in Ref

= N A′ t|√¯αtA′ 0, (1 − ¯αt)I , which in turn defines the reverse generation process: pθ(A′ t−1|Mt) = N A′ t−1|µA′(Mt), βt 1−¯αt−1 1−¯αt I , where N (·, ·) represents a normal dist

1 Pith paper cite this work. Polarity classification is still indexing.

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Design Topological Materials by Reinforcement Fine-Tuned Generative Model

cond-mat.mtrl-sci · 2025-04-17 · unverdicted · novelty 5.0

Reinforcement fine-tuning of a generative model produces new topological insulators and crystalline insulators, exemplified by Ge2Bi2O6 with a 0.26 eV full band gap.

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Design Topological Materials by Reinforcement Fine-Tuned Generative Model cond-mat.mtrl-sci · 2025-04-17 · unverdicted · none · ref 1
Reinforcement fine-tuning of a generative model produces new topological insulators and crystalline insulators, exemplified by Ge2Bi2O6 with a 0.26 eV full band gap.

Here, ¯αt and βt are the variance of each diffusion step controlled by the cosine scheduler adopted in Ref

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