CbLDM: A Diffusion Model for recovering nanostructure from atomic pair distribution function
This paper proposes CbLDM, a Condition-based Latent Diffusion Model that utilizes conditional priors and Laplacian matrices to effectively and stably recover the nanostructures of monometallic nanoparticles from their atomic pair distribution functions, addressing the highly ill-posed nature of the inverse problem.