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
    • 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
  • Science & MaX
    • Highlights
    • List of publications
  • 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
    • 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
  • Science & MaX

    SCIENCE & MAX

    MAX codes enable about 3500 publications throughout the globe every year. A selection of the scientific papers produced by the community using the MAX flagship codes can be found in this area. “Highlights” contains the publications produced by MAX consortium members to develop and validate MAX codes towards the exascale (red frame) and a subset of the scientific works produced by the materials science community (gray frame). “Lists of publications” collects selected papers produced by the scientific community at large and using MAX flagship codes.

    Highlights

    List of publications

    Impact of MAX flagship codes

    • Highlights
    • List of publications
  • 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
    • 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
  • Science & MaX
    • Highlights
    • List of publications
  • Contact us

September 2022 Newsletter

Home / Newsletter / September 2022 Newsletter







*|MC:SUBJECT|*


*|MC_PREVIEW_TEXT|*

Newsletter

September 2022

Dear all,

September and October are full of opportunities

to discover MaX activities and code development.



Don't miss the chance to attend our schools, dissemination events and tutorials.

September
  • from 20 to 29 - online: Picking Flowers: online hands-on tutorial
  • 24 - Trieste | IT: Trieste Next: Festival della ricerca scientifica
  • 30 - Europe-wide: European Researchers' Night
October
  • from 3 to 5 - Lausanne | CH: Co-Design for HPC in Computational Materials and Molecular Science
  • from 4 to 7 - online: AiiDA online demo and virtual tutorial 2022
November
  • from 9 to 11 - online: Advanced Quantum ESPRESSO tutorial: Hubbard and Koopmans functionals from linear response

Fleur code developers and MaX are very happy to invite you to the 2022 incarnation of the FLEUR hands-on tutorial.

This event targets at new as well as more experienced users of the FLEUR code who want to learn in an interactive manner the usage of the code.

Overview:

  • from September 20 to September 29.
  • Three days a week: Tuesday, Wednesday, Thursday.
  • We will offer a session with talks on FLEUR related topics each day.
  • Two (identical) hands-on session each day to fit your time constraints.
  • Q&A sessions to discuss with developers and presenters.



Please register until 12.09.22 here

Will you be in Trieste on September 24?

Enjoy Trieste Next and visit the Urban Center (Corso Camillo Benso Conte di Cavour, 2/2) from 11:30 to 12:45, and discover the "QUANTUM ALCHEMY: HOW COMPUTERS HELP CREATE NEW MATERIALS": the panel discussion organized by SISSA, with: 

Carlo Cavazzoni, senior vicepresident of Cloud Computing Leonardo

Nicola Marzari, professor of Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne (EPFL) and MaX PI

Elisa Molinari, full professor of Theoretical Condensed-Matter Physics Università di Modena e Reggio Emilia, Cnr Nano, and MaX Coordinator

Ivano Tavernelli, global leader for advanced algorithms for quantum simulations IBM Research Lab Zurich



The discussion will be chaired by 
Stefano Baroni, full professor of Theoretical Condensed-Matter Physics, SISSA and MaX PI



Abstract: 

From Stone to Silicon age, the seasons of human civilization are named after materials. The concurrent emergence of a new powerful formulation of the equations of quantum mechanics and of clever algorithms to implement them on computers able to perform one billion-billion operations per second is now igniting a paradigm shift in materials research. The complex properties of the materials that define present and future technologies can thus be not only understood, but even designed. Some of the leading researchers in the field will share their vision of computer-aided materials discovery.


 
The event will be held in English without translation.

 

The Workshop on HPC (High Performance Computing) Co-design in Computational Materials and Molecular Science is a joint effort of several CoEs: NOMAD, BioExcel, MaX, and TREX. 

The workshop will gather contributions from leading scientists, technologies, and SW engineers from the fields of  academia, HPC centres, HW-vendors, and industry. The workshop covers a broad range of current topics, taking materials and molecular science codes as reference HPC applications and possible co-design vehicles. 

 

Overview:

The topics to be covered are 
(1) existing examples of HPC co-design in materials and molecular science, (2) co-design of general purpose and domain-specific libraries, kernels, and mini-apps, and (3) the perspective of hardware manufacturers, integrators, and data center owners.

The workshop will focus in particular on, and attempt to draw conclusions about:

(1) the relationship between algorithms and computer architectures in materials science, (2) the connection between parallel programming technologies and runtime systems, and (3) the interplay of the above layers for a wide spectrum of computer architectures, within the selected scientific domain. 

We aim to identify how scientific software developers in materials science can influence hardware manufacturers as well as middleware and system-level software developers, and vice versa. In particular, we seek to determine how co-design is employed in the development of the new HPC processors and of the related software stack, including with respect to compilers and optimized libraries, schedulers and IO, and container technologies. 

Hardware HPC vendors and integrators will share their vision on co-design, while key people from the scientific software development community will discuss the adoption of state-of-the-art technologies when porting their codes on emerging computer architectures. Consequently, the workshop will provide a rare and valuable opportunity to foster close contacts and the exchange of ideas between the scientific and technical communities.

 

For further details and registration: 

https://www.cecam.org/workshop-details/1113

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

The first event will start with a 2-hour online demonstration of AiiDA’s capabilities on October 4th 2022, which can be attended separately without full participation in the tutorial.

When: a 2-hour session on October 4th 2022, with two options to accommodate people from different time zones: 8:00-10:00 GMT and 15:00-17:00 GMT.

Where: Virtual Zoom Meeting, details will be communicated on October 1st.

Registration: Registration is free of charge, simply fill in the following (short) form before October 1st 2022: https://forms.gle/MjXi8Fb1rXquyETb8

********



The online tutorial
 will follow directly after the demonstration, spanning from 4-7 October 2022. In order to be able to provide ample interaction between tutors and participants, the number of participants in the tutorial is limited.

 

The goal of this 4 day-tutorial is to help students and researchers from the field of computational materials science get started with running and writing reproducible workflows. They will be introduced by experts in the field (including the developers of the code) to the use of AiiDA, and will gain in-depth hands-on experience using a tool that they can directly apply to their own research.

When: 4-7 October 2022. Two time slots are organised for each hands-on session, as shown in the schedule below (click to open):

Where: Talks will be pre-recorded and made available to participants before the event. Hands-on tutorials will be held via Zoom, with participants running the tutorial in their browser by accessing a JupyterHub deployment of AiiDAlab.

Registration: Registration is free of charge! Please apply before 14th of September 2022 23:59 GMT: https://forms.gle/Z9e6GxDL2EgEX27Y6

 

Target Audience: Computational scientists from both academia and industry are encouraged to apply. Experience with Python is required, but prior experience with AiiDA is not expected.

 

Detailed program on AiiDA website 

The goal of this tutorial is to introduce PhD students, postdocs, and junior scientists to the use of advanced functionals aimed at modeling complex materials, such as the extended Hubbard and Koopmans functionals. By eliminating self-interaction errors and restoring total energy piecewise linearity, these advances broaden the scope of DFT by either improving the ground-state description of transition-metal and rare-earth compounds or by giving access to accurate spectral properties (like fundamental band gaps and band structures). Indeed, Hubbard and Koopmans functionals are deeply rooted in the theory of DFT and try to address fundamental difficulties of its Kohn-Sham declination. Their actual implementation also takes advantage of linear-response theory through the self-consistent incarnation contained in density-functional perturbation theory (DFPT).

In view of these goals, the first day of the tutorial will be devoted to an introduction to fundamental aspects of DFT using local and semi-local functionals, its application to materials science and physics, and its limitations. In the next 2 days, the tutorial will cover the theoretical framework of Hubbard and Koopmans functionals (the main topic of this event). The reference computational platform of the tutorial will be Quantum ESPRESSO (QE), a widely used open-source electronic-structure software, which implements both extended Hubbard and Koopmans functionals.

The intensive program will offer (i) presentations by keynote speakers with a broad overview on the topic of the day, (ii) theoretical and technical lectures by some of the leading developers of the QE project, as well as (iii) demonstrations and dedicated hands-on sessions on both basic and more advanced features. Importantly, the participants will learn how to compute the Hubbard parameters and Koopmans screening coefficients from DFPT. Since QE is an open-source platform for ab initio calculations the tutorial will provide a practical and operative knowledge of the discussed topics that participants will be able to use directly in their own research or educational activities.

 

The deadline for applications is October 1st, 2022! Please register here.

Don't forget to attend the EUROPEAN RESEARCHERS' NIGHT 2022 (on September 30, worldwide). 

The European Researchers' Night is a Europe-wide public event, which displays the diversity of science and its impact on citizens' daily lives in fun, inspiring ways, this year, the event will take place in 25 countries on Friday 30 September 2022.

The European Researchers' Night aims to bring research and researchers closer to the public, promote excellent research projects across Europe and beyond, increase the interest of young people in science and research careers, and showcase the impact of researchers’ work on people’s daily lives.

The European Researchers’ Night attracts each year more than 1 million visitors in Europe and beyond.

Visit the events to meet researchers and discover the fascinating world of science in a fun and interactive environment – with family or on your own.

Children, young people and families will have the chance to meet researchers and discover research, science and innovation through a wide range of science shows, hands-on experiments, games, quizzes, competitions, exhibitions and digital activities.

Subscribe here for regular updates and insights
Twitter
LinkedIn
Website
Email

MAX - MAterials design at the eXascale has received funding from the European Union’s Horizon 2020 - Research and Innovation program - under grant agreement no. 824143
Share this newsletter with a friend

Copyright © MAX 2022, all rights reserved.

You can
update your preferences or unsubscribe from this list.


This email was sent to *|EMAIL|*

why did I get this?    unsubscribe from this list    update subscription preferences

*|LIST:ADDRESSLINE|*

*|REWARDS|*


Home

  • MAX Centre of Excellence
  • c/o CNR NANO
  • via Campi 213A
  • I-41125 Modena
  • ph +39 059 2055629
  • email: info@max-centre.eu
SITEMAP
  • About MAX
  • SOFTWARE
  • EXASCALE
  • DATA
  • SERVICES
  • TRAINING
  • SCIENCE & MaX
  • 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