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    About MAX

    MAX (MAterials design at the eXascale) is a European Centre of Excellence which enables materials modelling, simulations, discovery and design at the frontiers of the current and future High Performance Computing (HPC), High Throughput Computing (HTC) and data analytics technologies.

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    The software developed by MAX is made available to the whole community in open-source form. In this section you can find our main software output and how to obtain it.
     

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    MAX addresses the challenges of porting, scaling, and optimising material science application codes for the peta- and exascale platforms in order to deliver best code performance and improve users productivity on the upcoming architectures.

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    MAX is committed in supporting data stewardship by adhering to the FAIR-sharing principles. High-quality data is provided both in the format of curated scientific results and raw data, focusing on the tracking of provenance to ensure the full reproducibility of results.

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September 28, 2020

Gregor Michalicek

Gregor Michalicek is one of the main developers of the Fleur code at the Forschungszentrum Jülich...


September 28, 2020

All-electron DFT using the FLEUR code

This webinar will introduce the all-electron code FLEUR and its recent enhancements in the context of the MaX CoE. Besides the fundamentals of the theory and the method we will also report on some very large simulation now becoming possible and we will give hints and instructions for efficient usage and deployment of the code.


September 24, 2020

SIESTA Webinar - Highlights and Insights

The 5th webinar of the MaX series on Flagship codes entitled " New developments in SIESTA for high-...


September 24, 2020

Cnr Nano Modena is SUPER!

As an important step forward within the national and international HPC ecosystem, and in strong synergy with the MaX Centre of excellence, CNR-NANO participates in SUPER (Supercomputing Unified Platform - Emilia-Romagna), an Emilia-Romagna POR-FESR 2014-2020 regional funded project.


September 18, 2020

Materials Cloud, a platform for open computational science

L. Talirz, .l Kumbhar, E. Passaro, A. V. Yakutovich, V. Granata, F. Gargiulo, M. Borelli, M. Uhrin...


September 18, 2020

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

S. P. Huber, S. Zoupanos, M. Uhrin, L. Talirz, L. Kahle, R. Häuselmann, D. Gresch, T. Müller, A. V...


September 15, 2020

Material systems for FM-/AFM-coupled skyrmions in Co/Pt-based multilayers

Antiferromagnetically coupled magnetic skyrmions are considered ideal candidates for high-density...


September 9, 2020

Materials Cloud & AiiDA: cornerstones of MARVEL open science strategy, feature in Scientific Data

The latest issue of Nature group’s Scientific Data journal features papers on the Materials Cloud...


September 8, 2020

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

The ever-growing availability of computing power and the sustained development of advanced...


September 8, 2020

Materials Cloud, a platform for open computational science

Materials Cloud is a platform designed to enable open and seamless sharing of resources for...


September 8, 2020

Electrosorption at metal surfaces from first principles

Electrosorption of solvated species at metal electrodes is a most fundamental class of processes in...


September 7, 2020

Vibrational signature of the graphene nanoribbon edge structure from high-resolution electron energy-loss spectroscopy

Bottom-up approaches exploiting on-surface synthesis reactions allow atomic-scale precision in the...


September 4, 2020

MaX in a nutshell

MaX (Materials design at Exascale) is the European HPC Center of Excellence that aims to disenthral...


September 3, 2020

MaX Webinar on SIESTA code

The fifth Webinar of a series presenting the most recent developments of the MaX flagship codes...


September 3, 2020

Nick Papior

Nick Papior is a HPC specialist at the Technical University of Denmark under the DTU Computing...


September 3, 2020

Emilio Artacho

Emilio Artacho leads the Theory group at Nanogune (San Sebastian, Spain) and is Professor in the...


September 3, 2020

Mónica García-Mota

Mónica García-Mota is the Scientific Director at SIMUNE. She designs and supervises the execution...


September 3, 2020

New developments in SIESTA for high-performance materials simulations

This webinar highlighted the performance enhancements and new features recently added to SIESTA within the MaX project, one of its flagship codes. These enhancesments include the use of a finite-support atomic-orbital basis set extended to leading-edge HPC systems by new solver options, and its built-in subsystem for electronic transport (TranSIESTA), which has undergone a major redesign for increased performance and functionality.


September 3, 2020

Pablo Ordejón

Pablo Ordejón is the leader of the Theory and Simulation Group at the Catalan Institute of...


September 3, 2020

Alberto Garcia

Alberto Garcia is a computational scientist at the Institut de Ciència de Materials de Barcelona (...


September 1, 2020

Hydrophobic stabilizer-anchored fully inorganic perovskite quantum dots enhance moisture resistance and photovoltaic performance

J. Kim, S. Cho, F. Dinic, J. Choi, C. Choi, S.M. Jeong, J.S. Lee, O. Voznyy, M.J. Ko, and Y. Kim


September 1, 2020

Strain-Induced Ultrahigh Electron Mobility and Thermoelectric Figure of Merit in Monolayer alpha-Te

J.L. Ma, F.C. Meng, J. He, Y. Jia, and W. Li


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MaX - Materials design at the Exascale has received funding from the European High Performance Computing Joint Undertaking and Participating Countries in Project (Czechia, France, Germany, Italy, Slovenia and Spain) under grant agreement no. 101093374.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European High Performance Computing Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.

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