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
September 28, 2022

SC22

The International Conference for High Performance Computing, Networking, Storage, and Analysis -...


September 19, 2022

Trieste Next "Quantum alchemy: how computers help create new materials"

Saturday Septemeber 24, 2022 - from 11:30 to 12:45 @ the Urban Center in Trieste (IT) in the...


September 16, 2022

HP – A code for the calculation of Hubbard parameters using density-functional perturbation theory

Timrova, I., Marzaria, N., and Cococcioni, M.


September 15, 2022

HP – A code for the calculation of Hubbard parameters using density-functional perturbation theory

The authors introduce HP, an implementation of density-functional perturbation theory, designed to...


September 7, 2022

turboMagnon – A code for the simulation of spin-wave spectra using the Liouville-Lanczos approach to time-dependent density-functional perturbation theory

T. Gornia, O. Baseggio, P. Delugas, S. Baroni, and I. Timrov


September 7, 2022

September 2022 Newsletter

Join the upcoming MaX events and training held in September, October and November 2022.


September 7, 2022

August 2022 Newsletter

Join the MaX team at the Psi-k conference 2022


September 7, 2022

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

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


August 24, 2022

Picking Flowers - a Hands-on FLEUR Tutorial

We are very happy to invite you to the 2022 incarnation of the FLEUR hands-on tutorial. This event...


August 24, 2022

AiiDA online demo and virtual tutorial 2022

For this year’s edition, two events are organised to introduce computational scientists to AiiDA:...


August 18, 2022

turboMagnon – A code for the simulation of spin-wave spectra using the Liouville-Lanczos approach to time-dependent density-functional perturbation theory

T. Gornia, O. Baseggio, P. Delugas, S. Baroni, and I. Timrov


August 18, 2022

turboMagnon – A code for the simulation of spin-wave spectra using the Liouville-Lanczos approach to time-dependent density-functional perturbation theory

The authors introduce turboMagnon, an implementation of the Liouville-Lanczos approach to...


August 3, 2022

Neural networks allows ab initio simulation of water viscosity

The viscosity of fluids is a crucial parameter playing a fundamental role in many fields of science...


August 3, 2022

Optimal model of semi-infinite graphene for ab initio calculations of reactions at graphene edges by the example of zigzag edge reconstruction

Y. G.Polynskaya, I. V. Lebedeva, A. A.Knizhnik, and A. M.Popov


August 1, 2022

Optimal model of semi-infinite graphene for ab initio calculations of reactions at graphene edges by the example of zigzag edge reconstruction

The authors investigate how parameters of the model of semi-infinite graphene based on a graphene...


August 1, 2022

Engineering of metal-MoS2 contacts to overcome Fermi level pinning

P. Khakbaz, F. Driussi, P. Giannozzi, A. Gambi D. Lizzit, and D. Esseni


August 1, 2022

Engineering of metal-MoS2 contacts to overcome Fermi level pinning

Fermi level pinning (FLP) in metal-MoS 2 contacts induces large Schottky barrier heights which in...


July 29, 2022

Surface termination dependence of electronic and optical properties in Ti2CO2 MXene monolayers

Z. Kandemir, E. Torun, F. Paleari, C. Yelgel, and C. Sevik


July 29, 2022

Bulk and surface electronic structure of Bi4Te3 from GW calculations and photoemission experiments

D. Nabok, M. Tas, S. Kusaka, E. Durgun, C. Friedrich, G. Bihlmayer, S. Blügel, T. Hirahara, and I...


July 29, 2022

Optimal model of semi-infinite graphene for ab initio calculations of reactions at graphene edges by the example of zigzag edge reconstruction

Y. G.Polynskaya, I. V. Lebedeva, A. A.Knizhnik, and A. M.Popov


July 28, 2022

Full orbital decomposition of Yu-Shiba-Rusinov states based on first principles

T. G. Saunderson, J. F. Annett, G. Csire, and M. Gradhand


July 28, 2022

Merging of superfluid helium nanodroplets with vortices

J. M. Escartín, F. Ancilotto, M. Barranco, and M. Pi


Pages

  • « first
  • ‹ previous
  • …
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • …
  • 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