Scientific Highlights

Madices

MADICES Conference at PSI

The MADICES 3 workshop was about bringing representatives from the open research data (ORD) community, including research data management (RDM) platform developers/maintainers, ontology/semantics experts, those leveraging AI/LLM for RDM tasks, and FAIR principles advocators together to discuss (and implement solutions for) the problems hindering the adoption of ORD and FAIR principles and practices in the sciences. 

HPCP

HPCP Summer School FHNW/PSI

The institute for Data Science of the FHNW in Brugg - Windisch and AWI department of PSI held a joint course on high performance computing. The course addressed computer science students of FHNW and interested individuals at PSI. Two full days at the FHNW (with Apero) were followed by two full days at PSI using Merlin6 (with tour).

PASC

Congratulations to Sonali for winning the ACM student research competition !

Congratulations to Sonali for winning the ACM student research competition that took place at PASC 2025 in Brugg as part of the SIGHPC ACM SIG conference

 

RSE

Research Software Engineering (RSE) Movement at PSI

The online information event on the “Research Software Engineering (RSE) Movement” at PSI on Wednesday 7th May, 2025 was a quite success with an unexpected high number of 100+ participants!

Portrait of Grigori Laura

Prof. Laura Grigori wins the SIAM Supercomputing Career Prize

Congratulations to Laura Grigori for being awarded the 2024 SIAM Activity Group on Supercomputing Career Prize in acknowledgement of her "outstanding contributions to scientific computing, particularly communication-avoiding algorithms".

Areal Teaser

Are you interested in working at the Scientific Computing, Theory and Data division at the PSI?

We invite you to join us at the Paul Scherrer Institute, one of Europe's premier multidisciplinary research centres. Since its establishment in 1988, PSI has been dedicated to advancing scientific discovery across various fields. The Scientific Computing, Theory and Data (CSD) division at PSI serves as the core of computational science and data analysis at our institute, playing an important role in supporting research across all scientific disciplines.

AiiDA common workflows for code verification

New Nat. Rev. Phys. publication: A “gold standard” for computational materials science codes

A large consortium of scientists, coordinated by PSI researchers in the LMS laboratory, led the most comprehensive verification effort so far on computer codes for materials simulations, providing their colleagues with a reference dataset and a set of guidelines for assessing and improving existing and future codes.