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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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    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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    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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    • Simulations on premises and in the cloud
    • Turn-key materials solutions
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    • Facts & Figures
    • FAQ
  • Training
    • Training materials
      • Open Online courses and videolectures
      • Presentations
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    • List of workshops & schools
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October 3, 2023

A deep dive into material science: SIESTA School 2023

Explore the theoretical foundations and practical applications of this versatile simulation tool in material science.


September 22, 2023

MaX Project Meeting October 2023

MaX partners will meet in Barcelona at Casa Convalecencia, hosted by ICN2, for 2 full days of updates, discussions, and plans for the advancement of the project.


September 5, 2023

Efficient full frequency GW for metals using a multipole approach for the dielectric screening

Dario A. Leon, Andrea Ferretti, Daniele Varsano, Elisa Molinari, and Claudia Cardoso


August 30, 2023

MaX Project Meeting October 2023

MaX partners will meet in Barcelona @ Casa de la Convalecencia, hosted by ICN2 , for 2 full days of...


August 9, 2023

Accelerating material discovering through software and workflows that automate complex simulations

A significant step has been taken towards high-throughput computational screening for the discovery...


August 2, 2023

Quenching of low-energy optical absorption in bilayer C3 N polytypes

M. Zanfrognini, M. Bonacci, F. Paleari, E. Molinari, A. Ruini, A. Ferretti, M. J. Caldas, and D...


August 2, 2023

Dielectric response and excitations of hydrogenated free-standing graphene

M. G. Betti a, D. Marchiani, A. Tonelli, M. Sbroscia, E. Blundo, M. De Luca, A. Polimeni, R...


June 12, 2023

MPI and OpenMP in Scientific Software Development

MaX joins this advanced MPI/OpenMP course, organized by NCC Netherlands in collaboration with PRACE...


May 31, 2023

Modular structure to enhance efficiency and flexibility of simulation codes for materials science: the SIESTA case

A paper recently published in the Royal Society Open Science journal discusses the advantages of implementing a modular approach in electronic structure simulation software and demonstrates the increased efficiency of SIESTA, a lighthouse code of the MaX Centre of Excellence that in recent years has been redesigned according to this principle.


May 25, 2023

Towards high-throughput many-body perturbation theory: efficient algorithms and automated workflows

M. Bonacci, J. Qiao, N. Spallanzani, A. Marrazzo, G. Pizzi, E. Molinari, D. Varsano, A. Ferretti,...


May 17, 2023

Workshop on Frontiers in Excited State Electronic Structure Methods: from Spectroscopy to Photochemistry |

MaX partners are attending the ICTP "Workshop on Frontiers in Excited State Electronic Structure...


May 3, 2023

First steps with SIESTA: from zero to hero

SIESTA [1,2] is a multipurpose density-functional code able to perform efficient electronic...


May 3, 2023

Advanced Quantum ESPRESSO school: Hubbard and Koopmans functionals from linear response

Density functional theory (DFT) is nowadays the main tool for computational modeling of realistic...


May 3, 2023

All electron DFT with fleur

Density functional theory (DFT) is the de facto standard for the ab-initio prediction of ground-...


May 2, 2023

Modular implementation of the linear- and cubic-scaling orbital minimization methods in electronic structure codes using atomic orbitals

I. V. Lebedeva, A. García, E. Artacho, and P. Ordejón


April 24, 2023

Efficient many-body perturbation theory calculations in 2D materials via the interpolation of the screened interaction: GW corrections and EELS spectra

On Friday April 28 at 2pm CEST, Alberto Guandalini from the University of Rome La Sapienza will...


April 21, 2023

Quantum ESPRESSO version 7.2 now available

New features, bug fixes and other improvements have been implemented in this new version. The...


April 17, 2023

Speeding up semiconductor calculations

Researchers at Cnr Nano have developed a groundbreaking computational method that speeds up...


April 6, 2023

Efficient GW calculations in two dimensional materials through a stochastic integration of the screened potential

A. Guandalini, P. D'Amico, A. Ferretti, and D. Varsano


April 3, 2023

ISC High Performance 2023

THE EVENT FOR HIGH PERFORMANCE COMPUTING, MACHINE LEARNING, DATA ANALYTICS & QUANTUM COMPUTING...


March 22, 2023

First-principles study of luminescence in hexagonal boron nitride single layer: Exciton-phonon coupling and the role of substrate

P. Lechifflart, F. Paleari, D. Sangalli, and C. Attaccalite


March 22, 2023

From Green-Kubo to the full Boltzmann kinetic approach to heat transport in crystals and glasses

A. Fiorentino and S. Baroni


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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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