AI RESEARCH
A Padding Method for Enhanced Encoding of Inorganic Structures with Varying Chemical Compositions
arXiv CS.CL
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ArXi:2605.30743v1 Announce Type: cross Designing novel inorganic materials through generative models remains an important challenge for material science, driven by the complexity and diversity of inorganic structures across expansive chemical compositions and structural landscape. The vast combinatorial space of inorganic compounds demands innovative, AI-driven approaches to overcome limitations in generative accuracy and efficiency. To address this, we