AI RESEARCH
CbLDM: A Diffusion Model for recovering nanostructure from atomic pair distribution function
arXiv CS.LG
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ArXi:2509.01370v4 Announce Type: replace The nanostructure inverse problem is an attractive problem that helps researchers to understand the relationship between the properties and the structure of nanomaterials. This study focuses on the problem of recovering the model system of monometallic nanoparticles (MMNPs) from their pair distribution function (PDF) and regards it as a highly ill-posed conditional generation task. This study proposes a Condition-based Latent Diffusion Model (CbLDM) as a feasible solution to this problem.