collaborators

8 papers

math.PR2026

Universality in dimension 1 of kinetically constrained lattice gases

Assaf Shapira

Kinetically constrained lattice gases are interacting particle systems with conserved number of particles, having degenerate rates caused by a kinetic constraint. Over the past dec…

cs.CL2026

AI-Assisted Scientific Assessment: A Case Study on Climate Change

Christian Buck, Levke Caesar, Michelle Chen Huebscher +13

The emerging paradigm of AI co-scientists focuses on tasks characterized by repeatable verification, where agents explore search spaces in 'guess and check' loops. This paradigm do…

physics.ao-ph2026

EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules

Maybritt Schillinger, Maxim Samarin, Xinwei Shen +2

The practical use of future climate projections from global circulation models (GCMs) is often limited by their coarse spatial resolution, requiring downscaling to generate high-re…

physics.ao-ph2026

Uncertainty in wind and solar projections depends on global and regional climate models

Nina Effenberger, Reto Knutti

Ensembles of regional-global climate model combinations show substantial spread in projected wind and solar resources. Using 31 RCM-GCM pairs, we quantify the sources of this sprea…

physics.soc-ph2025

Climate change impacts on net load under technological uncertainty in European power systems

Luna Bloin-Wibe, Erich Fischer, Leonard Göke +3

Renewable energy sources play a major role in future net-zero energy systems. However, achieving energy system resilience remains challenging, since renewables depend on weather fl…

stat.AP2025

Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe

Nina Effenberger, Maxim Samarin, Maybritt Schillinger +1

Reliable regional climate information is essential for assessing the impacts of climate change and for planning in sectors such as renewable energy; yet, producing high-resolution…