MaX school: materials and molecular modelling with QUANTUM ESPRESSO
An online school organized by MaX, in collaboration with: Czechia, Austria, Slovakia, Slovenia, Poland and Hungary- June 19-21, 2024.
The course encompasses a comprehensive curriculum designed to cover the primary features of the Quantum ESPRESSOThe emphasis is on practical skill development. The course strikes a balance between theory and application, offering a hands-on learning experience. It caters to a beginner to intermediate level, aiming to equip participants with the fundamental knowledge and skills necessary for the effective utilization of QUANTUM ESPRESSO in their research and academic pursuits.
The school is designed for participants with a background in condensed matter physics or chemistry interested in learning to use Quantum ESPRESSO.
The school plans to cover the main features of the code and provide basic user skills such as compilation, simple scripting, choice of parallel options, and similar.
Online Lecture: HPC & AI – Competition or Collaboration? 7 Nov - On 26 November 2025 at 10:00, we are hosting a special online lecture dedicated to the rapidly evolving topic of the interplay between high-performance computing (HPC) and artificial intelligence (AI). Our guest will be Erwin Laure, one of the most prominent figures in the European HPC ecosystem.
Success story: The Future of Soil Hidden in Data 5 Nov - High-Performance Computing (HPC) offers researchers the ability to process enormous volumes of data and uncover connections that would otherwise remain hidden. Today, it is no longer just a tool for technical disciplines – it is increasingly valuable in social and environmental research as well. A great example is a project that harnessed the power of HPC to gain deeper insight into the relationship between humans, soil, and the landscape.
AI-Driven Archaeology with LLMs — Detecting Archaeological Sites from Aerial Imagery 30 Oct - Objavte, ako umelá inteligencia a veľké jazykové modely menia spôsob, akým odhaľujeme stopy minulosti. Webinár priblíži, ako pokročilé techniky umelej inteligencie inšpirované LLM dokážu analyzovať letecké a LiDARové snímky a detegovať archeologické lokality s bezprecedentnou presnosťou. Dr. Daniel Canedo z Univerzity v Aveire predstaví praktické príklady, v ktorých Vision Transformers a multimodálne učenie odhaľujú skryté vzory v krajine a spájajú moderné technológie s kultúrnym dedičstvom.