MaX Centre of Excellence (MaX CoE) is pleased to announce an upcoming webinar introducing two significant platforms that support the advancement of computational materials science: Lhumos, a new e-learning hub for simulation and modeling, and the newly upgraded Materials Cloud Archive, a platform for FAIR data sharing.
The event will take place on Thursday, July 17th, 2025, at 4:00 PM CEST, and is open to all members of the scientific and academic community. It aims to showcase tools that promote accessible, reusable, and sustainable research practices in materials science.
Lhumos (Learning HUb for MOdeling and Simulation) is a domain-specific e-learning platform focused on high-performance computing (HPC) and quantum and classical simulations of matter. It offers a rich collection of educational resources, including:
Video lectures and tutorials
Practical exercises and code examples
Recorded seminars and workshops
Materials on electronic structure methods, molecular dynamics, and code optimization
Lhumos is a collaborative initiative supported by MaX, CECAM, MARVEL, MultiXscale, BioNT, E-CAM, and DOME 4.0, designed to facilitate training and knowledge sharing across academia and industry.
The webinar will also introduce the fully redesigned Materials Cloud Archive, officially launched on June 23, 2025. Built on the InvenioRDM data management framework developed at CERN, the updated platform offers an enhanced experience for data sharing and discovery. Users will learn about:
New features and improvements in usability
Record creation and submission workflows
The publication process and citation support
Ensuring long-term data accessibility and FAIR compliance
4:00 PM CEST – Welcome Remarks
4:05 PM CEST – Live Showcase of the Lhumos Platform
Speaker: Roberto Bendinelli (MARVEL – CECAM – MaX – BioNT)
4:25 PM CEST – The Upgraded Materials Cloud Archive
Speaker: Valeria Granata (MARVEL – THEOS/EPFL – PSI)
4:45 PM CEST – Q&A Session
Join the Webinar: Click here to join the session
Explore Lhumos
Visit the Materials Cloud Archive
We look forward to welcoming participants from across the research community to this important session. Let’s continue building an open, accessible, and FAIR future for computational materials science.