News

Latest highlights

July 2026

Poster award for Nicolas!

Congratulations to Nicolas for winning a prize for his poster on "First-principles real-space embedding theory of the superconducting proximity effect" at the 2026 Summer School on Electron-Phonon Physics and Many-Body Perturbation-Theory!Poster prize

April 2026

New paper in Digital Discovery

Our new paper on AiiDA-TrainsPot: Towards automated training of neural-network interatomic potentials has been published in Digital Discovery. We present an automated, open-source workflow for building accurate neural-network interatomic potentials for materials simulations.Read the paper

Research

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Electronic-Structure Theory & Methods

Pushing electronic-structure theory and methods, from Berryology and topology to predictive first-principles materials modelling.

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Topological & Quantum Materials

Design and discovery of novel 2D materials, topological insulators and other quantum materials

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Machine Learning

Machine learning and automation for atomistic materials simulations

Contacts

Address: Via Bonomea 265, 34136 Trieste, Italy
Telephone: +39 040 3787 477
Email: amarrazz (_AT_) sissa (-DOT-) it