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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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    SOFTWARE

    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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    EXASCALE

    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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    DATA

    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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    SERVICES

    MAX develops and offers services and technical support dedicated to the general public and the expert users from both industry and academia.

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    TRAINING

    MAX offers integrated training and education in the field of HPC developments and in the computational materials science domain, including workshops and schools, contributions to University courses and training through research in the CoE labs.

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May 23, 2019

Lavoisier Discussion on “Quantum Simulation"

LAVOISIER discussions on “Quantum Simulation” will be held from 8-9 of May 2019, in ICN2 (Bellaterra, Barcelona).


May 23, 2019

MaX Code Suite leads the innovative research for materials, modelling and simulation toward a new era

The principal MaX’s code suites are: Quantum Espresso, Fleur, Siesta, Yambo, CP2K, BIGDFT, Sirius and AiiDA.


May 23, 2019

One post-doctoral position open at EPFL, Lausanne, Switzerland

An outstanding candidate is sought with a background in the physical sciences (physics, chemistry,...


May 23, 2019

CECAM Summer School on Classical Molecular Dynamics for Material Science, Nanotechnology and Biophysics @ SISSA

DATE: June 10 - June 21 2019, Sissa-Trieste | Italy The School is primarily intended for undergraduate students in Physics or Chemistry who wish to become familiar with up-to-date Molecular Dynamics simulation techniques.


May 23, 2019

Many-body perturbation theory calculations using the Yambo code

A paper describing the developments in the Yambo code over the last ten years has just been published in the Journal of Physics: Condensed Matter .


May 23, 2019

QUANTUM ESPRESSO V.6.4.1

Check GitHub and GitLab for the 6.4.1 version of Quantum ESPRESSO. Download now!


May 23, 2019

Pathways for EOSC-hub and MaX collaboration

On 10-12 April 2019 at the Vienna House Diplomat in Prague, Czech Republic, the 2nd EOSC-hub Week 2019 will bring together both present and future service providers and users of the European Open Science Cloud. Stronger involvement from the High-Performance Computing Centers of Excellence (HPC CoE) will be sought through interactive sessions dedicated session entitled “The HPC Centers of Excellence in the EOSC arena”


May 23, 2019

EuroMPI 2019: Call for Papers

The EuroMPI conference is since 1994 the preeminent meeting for users, developers and researchers...


May 23, 2019

MaX CoE Cooperation on EOSC-hub Week 2019

The Materials design at eXascale (MaX) is one of the High-Performance Computing Centers of...


May 23, 2019

Quantum ESPRESSO an integrated suite of Open-Source computer codes

Learn more of one of the MaX 's flagship code - the Quantum Espresso (QE) .


May 23, 2019

MaX @ the Graphene Week 2019

MaX will participate at the Graphene Week 2019 in Helsinki on23-27 September 2019. Find out more.


May 23, 2019

HPC for Industry 4.0

A 3-days workshop aims to present the state-of-the-art of Industry 4.0 technologies, in particular, presenting methods and techniques that might be used to transform a manufacturing plant into a plant 4.0. Cineca , one of MaX partner, organizes the “HPC for Industry 4.0” workshop , which will be held on 21-23 May in Milan in partnership with PRACE and HPC-Europa3 .


May 17, 2019

Codes at MaX

M A X focuses on selected flagship codes (click on the logos below for more info) : widely-used...


May 17, 2019

Info Product


May 16, 2019

Stefano Baroni

SISSA, A-408 (main building West), via Bonomea 265, 34136 Trieste - Italy


May 16, 2019

Elisa Molinari


May 14, 2019

Communication


May 14, 2019

Value Proposition

MaX directly addresses the main challenges faced by scientific code groups: ● The successful...


May 14, 2019

Goals

Our goals are achieved by: bringing the most successful and widely used open-source, community...


May 8, 2019

BigDFT

BigDFT is an electronic structure pseudopotential code that employs Daubechies wavelets as a computational basis, designed for usage on massively parallel architectures. It features high-precision cubic-scaling DFT functionalities enabling treatment of molecular, slab-like as well as extended systems, and efficiently supports hardware accelerators such as GPUs since 2009.


May 8, 2019

CP2K

CP2K is a quantum chemistry and solid state physics software package that can perform atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems. CP2K provides a general framework for different modeling methods such as DFT using the mixed Gaussian and plane waves approaches GPW and GAPW. Supported theory levels include - among the many - DFTB, LDA, RPA, semi-empirical methods and classical force fields.


May 8, 2019

AiiDA

AiiDA is a Python materials informatics framework to manage, store, share, and disseminate the workload of high-throughput computational efforts, while providing an ecosystem for materials simulations where codes are automatically optimised on the relevant hardware platforms, and complex scientific workflows involving different codes and datasets can be seamlessly implemented and shared.


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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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