DOI,IST REx ID,Research Group,Title of publication
10.1007/s11005-025-01904-5,19001,LaEr,Loschmidt echo for deformed Wigner matrices
10.48550/arXiv.2410.10718,19546,LaEr,Eigenvector decorrelation for random matrices
10.15479/AT-ISTA-19540,19540,"GradSch,LaEr","Modeling complex quantum systems: Random matrices, BCS theory, and quantum lattice systems"
10.4171/JST/540,19548,"LaEr,RoSe",Universal behavior of the BCS energy gap
10.1007/s00023-024-01518-y,18764,LaEr,Prethermalization for deformed Wigner matrices
10.48550/arXiv.2409.00677,19552,LaEr,How a space-time singularity helps remove the ultraviolet divergence problem
10.1016/s2542-5196(25)00022-1,22450,,Residential tree canopy configuration and mortality in 6 million Swiss adults: A longitudinal study
10.5194/nhess-25-2271-2025,22469,,Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method
10.1016/j.agrformet.2025.110682,22463,,Future glacier retreat and forest expansion in the Swiss Alps provide limited benefits for carbon sinks
10.1111/gcb.70650,22462,,An integrated modelling framework to determine terrestrial carbon dioxide removal via enhanced rock weathering
10.1029/2024ef005183,22483,,Controls of ecohydrological grassland dynamics in agrivoltaic systems
10.1038/s43247-025-02379-x,22431,,Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes
10.1029/2025wr040260,22438,,Assessing spatial patterns of carbon and nutrient dynamics in catchments of complex topography
10.1103/physreve.111.054122,19785,GaTk,Token-driven totally asymmetric simple exclusion processes
10.15479/AT-ISTA-20641,20641,"GradSch,PaSc","Data for ""Aromatic Ring Flips Reveal Reshaping of Protein Dynamics in Crystals and Complexes"""
10.1007/s00208-024-03035-z,18705,TiBr,On a question of Davenport and diagonal cubic forms over Fq(t)
10.1038/s41467-024-55449-7,18820,"AnSa,BiCh",Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance
10.1021/acs.jctc.5c01400,20926,"GradSch,BiCh",A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials
10.1038/s41524-025-01911-z,20990,BiCh,Machine learning interatomic potential can infer electrical response
10.1038/s41559-025-02753-0,22500,,Global variation in vegetation carbon use efficiency inferred from eddy covariance observations