Skip to main content
Home
Home
  • About MaX
    • Goals
    • Organisation
    • MaX in a nutshell
    • People at MaX
    • Codes at MaX
    • Project Repository
    • Publications
    • Job openings
    • Newsletter
    • Communication
    • News & Events
    • MaX 2018-2021
  • Software
    • Codes
    • Features and algorithms
    • Libraries
    • Workflows
  • Exascale
    • Deployments
    • Programming models
    • Co-design
    • Performances
    • Separation of concerns
  • Data
    • Fact & Figures
  • Services
    • MaX Container technology for HPC system
    • MaX Help Desk
    • MaX High level consultancy
    • Simulations on premises and in the cloud
    • Turn-key materials solutions
    • Services to the Industry
    • Facts & Figures
    • FAQ
  • Training
    • Training materials
      • Open Online courses and videolectures
      • Presentations
      • Training material related to the MaX flagship codes
    • List of workshops & schools
    • Training through research in the MaX labs
    • Fact & Figures
  • Contact us
Home
  • About MaX

    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.

    • Goals
    • Organisation
    • MaX in a nutshell
    • People at MaX
    • Codes at MaX
    • Project Repository
    • Publications
    • Job openings
    • Newsletter
    • Communication
    • News & Events
    • MaX 2018-2021
  • Software

    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.
     

    Codes

    Software libraries

    Features and algorithms

    Workflows

    Impact of MAX flagship codes

    • Codes
    • Features and algorithms
    • Libraries
    • Workflows
  • Exascale

    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.

    Programming models

    Performances

    Data on demand

    Co-design

    Data on demand

    Separation of concerns

    • Programming models
    • Co-design
    • Deployments
    • Performances
    • Separation of concerns
  • Data

    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.

    Data at MaX

    Data at MaX

    Complete archived data

    Curated data

    Data on demand

    Data on demand

    FAIR data

    FAIR data

    Facts and Figures

    Facts and Figures

    • Fact & Figures
  • Services

    SERVICES

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

    MaX Helpdesk

    Help Desk

    max-high-level-consultancy-materials-science

    High level consultancy

    Turn-key materials solutions

    Turn-key materials solutions

    MaX Container technology for HPC system

    Container technology for HPC system

    Simulations on premises and in the cloud

    Simulations on premises and in the cloud

    Services to the Industry

    Services to the Industry

    Facts and Figures

    Facts and Figures

    FAQ

    FAQs

    • MaX Container technology for HPC system
    • MaX Help Desk
    • MaX High level consultancy
    • Simulations on premises and in the cloud
    • Turn-key materials solutions
    • Services to the Industry
    • Facts & Figures
    • FAQ
  • Training

    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.

    List of workshops & schools

    Data on demand

    Training through research in the MaX labs

    Training materials

    Facts and Figures

    Facts and Figures

    • Training materials
      • Open Online courses and videolectures
      • Training material related to the MaX flagship codes
      • Presentations
    • List of workshops & schools
      • Quantum Espresso Targeting Accelerators
    • Training through research in the MaX labs
    • Fact & Figures
  • Contact us
  • About MaX
    • Goals
    • Organisation
    • MaX in a nutshell
    • People at MaX
    • Codes at MaX
    • Project Repository
    • Publications
    • Job openings
    • Newsletter
    • Communication
    • News & Events
    • MaX 2018-2021
  • Software
    • Codes
    • Features and algorithms
    • Libraries
    • Workflows
  • Exascale
    • Deployments
    • Programming models
    • Co-design
    • Performances
    • Separation of concerns
  • Data
    • Fact & Figures
  • Services
    • MaX Container technology for HPC system
    • MaX Help Desk
    • MaX High level consultancy
    • Simulations on premises and in the cloud
    • Turn-key materials solutions
    • Services to the Industry
    • Facts & Figures
    • FAQ
  • Training
    • Training materials
      • Open Online courses and videolectures
      • Presentations
      • Training material related to the MaX flagship codes
    • List of workshops & schools
    • Training through research in the MaX labs
    • Fact & Figures
  • Contact us

Search

Home / Search
October 25, 2024

Just released! Performance & Scalability of MaX lighthouse codes

MaX released its Performance and Scalability brochure, gathering the latest results of the MaX lighthouse codes in achieving outstanding performance and scaling on different types of EuroHPC architectures.


October 24, 2024

Performance and Scalability of MaX lighthouse codes

Explore the main features of the MaX lighthouse codes. Download a copy!


October 9, 2024

Thermal transport of glasses via machine learning driven simulations

P. Pegolo and F. Grasselli


October 9, 2024

Quantum ESPRESSO towards performance portability: GPU offload with OpenMP

F. Ferrari Ruffino, L. Bellentani, G. Rossi, F. Affinito, S. Baroni, O. Baseggio, P. Delugas, P...


October 8, 2024

Advancing heat transport theory and numerical simulations in glasses

A team of researchers explores the influence of the infrared singularity in the harmonic theory of heat conduction in glassy materials and explains the nuanced effectiveness of the Allen-Feldman theory.


October 7, 2024

Co-designing ab initio electronic structure methods on a RISC-V vector architecture

R. Grima Torres, P. Vizcaíno, F. Mantovani, and J. J. Gutiérrez Moreno


October 7, 2024

Ab initio quasi-harmonic thermoelasticity of molybdenum at high temperature and pressure

X. Gong and A. Del Corso


October 7, 2024

Pressure and temperature dependent ab-initio quasi-harmonic thermoelastic properties of tungsten

X. Gong and A. Del Corso


October 7, 2024

Evidence of ferroelectric features in low-density supercooled water from ab initio deep neural-network simulations

C. Malosso, N. Manko, M. G. Izzo, S. Baroni, and A. Hassanali


October 7, 2024

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

E. Drigo, S. Baroni, and P. Pegolo


October 3, 2024

Deployments

MaX applications on EuroHPC supercomputers MaX lighthouse codes –Quantum ESPRESSO, YAMBO, SIESTA,...


October 3, 2024

SIESTA School 2024

Sponsored by the Barcelona Supercomputing Center (BSC) and the MaX Centre of Excellence, the SIESTA school is targeted at students and researchers from different disciplines who already use, or plan to use, first-principles techniques to simulate properties of matter at the atomic scale.


September 25, 2024

MaX sponsoring the 11th International Conference on Multiscale Materials Modeling (MMM-11)

A unique opportunity to exchange latest advancements on interdisciplinary research fields in materials science and engineering.


September 25, 2024

Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview

A. Herten


September 25, 2024

Predicting potential SARS-CoV-2 mutations of concern via full quantum mechanical modelling

M. Zaccaria, L. Genovese, B. E. Lawhorn, W. Dawson,A. S. Joyal, J. Hu , P. Autissier, T. Nakajima,...


September 9, 2024

110° Congresso SIF

Held in Bologna, Italy, between 9-13 September 2024, the 110th National Congress of the Italian Physical Society gathers international guests and speakers to talk about the latest research on particle physics, materials science, and quantum science among others.


September 4, 2024

3rd Nanotech-Eurasia

A platform for scientists to foster interconnectivity among emerging research fields .


September 3, 2024

NVIDIA Developers Summit on Atomistic Simulation

Promoting a collaborative environment, knowledge sharing, and innovation through meaningful discussions that will shape the future of atomistic simulation.


August 30, 2024

Efficient GW calculations via interpolation of the screened interaction in momentum and frequency space: The case of graphene

A. Guandalini, D. A. Leon, P. D'Amico, C. Cardoso, A. Ferretti, M. Rontani, and D. Varsano


August 30, 2024

Inhibitory behaviour and adsorption stability of benzothiazole derivatives as corrosion inhibitors towards galvanised steel

Q. Deng, J. M. Castillo-Robles, E. de Freitas Martins, P. Ordejón, J.-N. Gorges, P. Eiden, X.-B...


August 8, 2024

Computing spectral and thermodynamic properties of correlated materials via dynamical functionals

A team of researchers proposes a novel approach for the computation of spectral and thermodynamic properties of correlated materials via dynamical functionals.


July 30, 2024

MaX Workshop 2024: focus on benchmarking and deployment

Open workshop to discuss WP advances and critical topics.


Pages

  • « first
  • ‹ previous
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • …
  • next ›
  • last »
Home

  • MAX Centre of Excellence
  • c/o CNR NANO
  • via Campi 213A
  • I-41125 Modena
  • ph +39 059 2055629
  • email: info@max-centre.eu
  • communication@max-centre.eu
SITEMAP
  • About MAX
  • SOFTWARE
  • EXASCALE
  • DATA
  • SERVICES
  • TRAINING
  • CONTACT US
INFORMATION
  • Privacy Policy
  • Terms and Conditions
Connect with us

©2023-MAX.All rights reserved.Privacy PolicyTerms of Service


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.

© Copyright 2023