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SCITAS - Steering committee

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Spectral and thermodynamic properties of interacting electrons with dynamical functionals

Universal machine learning for the response of atomistic systems to external fields

Computational Studies for the Design of Metalloenzyme Mimics

koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals

Generative power of a protein language model trained on multiple sequence alignments

A recipe for cracking the quantum scaling limit with machine learned electron densities

De novo design of protein interactions with learned surface fingerprints

De novo protein design by inversion of the AlphaFold structure prediction network

Continuous-variable neural network quantum states and the quantum rotor model

Weakly nonlinear versus semi-linear models of the nonlinear evolution of the centrifugal instability