AI-based temporal downscaling of global climate data for improving heatwave characterization over Denmark

Project availability The project is already fully booked for Spring 2026. It will run again in Fall 2026. Background Global climate datasets (reanalyses or CMIP simulations) are commonly available as monthly means and daily aggregates (mean, max., and min.) for key atmospheric variables. In this study, we compiled such temporal low-resolution data from the ERA5 [1] reanalysis, using high-resolution hourly data from the CERRA [2] regional reanalysis as ground truth. ...

November 3, 2025

All-atom Diffusion Transformers for Unified 3D Molecular and Material Generation

Background The All-atom Diffusion Transformer (ADiT) represents a significant advancement in the generative modeling of 3D atomic systems. Unlike traditional models that are tailored specifically for either molecules or materials, ADiT introduces a unified latent diffusion framework capable of jointly generating both periodic materials and non-periodic molecular systems using a single model. This is achieved through a two-stage process: An autoencoder maps unified, all-atom representations of molecules and materials to a shared latent embedding space. ...

June 4, 2025