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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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    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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    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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March 26, 2020

In Silico Discovery of Covalent Organic Frameworks for Carbon Capture

K.S. Deeg, D.D. Borges, D. Ongari, N. Rampal, L. Talirz, A.V. Yakutovich, J.M. Huck, and B. Smit


March 25, 2020

Advanced school on Quantum Transport using SIESTA- POSTPONED

The Advanced school on Quantum Transport using SIESTA code, initially scheduled in San Sebastian 23rd/27th March, has been postponed to a later date . We will keep you abreast once the new date will be confirmed. Event: Advanced school on Quantum Transport using SIESTA Where: DIPC (San Sebastian, ES) Who (in-charge): Zeila Zanolli (ICN2) What: School When: 23 - 27 March 2020 More info and application


March 25, 2020

Hackathon on Domain-Specific Libraries for Material Modelling

The MaX Hackathon on Domain-Specific Libraries for Material Modelling was held at the ICTP campus in Trieste, Italy, from the 25th to the 29th of November 2019. The week's programme was a fruitful opportunity to advance the development of the MaX libraries along with the interfacing of the MaX flagship codes to those libraries


March 25, 2020

Co-design in Materials Science Towards Exascale

Within the MaX co-design activity, Quantum ESPRESSO, one of the MaX flagship codes, has been used as a demonstrator for cutting edge new HPC technology (ARM + NVIDIA GPUs). In fact, at SC19 in Denver, NVIDIA showcased Quantum ESPRESSO running "live" on an ARM TX2+V100 system, comparing "live" performance with the ARM TX2 host alone. The exhibition was supported by a stand-alone pod (in the NVIDIA booth) with an expert available all the time to run the demo with the many visitors.


March 25, 2020

Universal In Situ Substitutional Doping of Transition Metal Dichalcogenides by Liquid-Phase Precursor-Assisted Synthesis

Doping lies at the heart of modern semiconductor technologies. Therefore, for two-dimensional (2D)...


March 25, 2020

Universal In Situ Substitutional Doping of Transition Metal Dichalcogenides by Liquid-Phase Precursor-Assisted Synthesis

T.Y. Zhang, K. Fujisawa, F. Zhang, M.Z. Liu, M.C. Lucking, R.N. Gontijo, Y. Lei, H. Liu, K. Crust,...


March 16, 2020

Excitons and Electron-Hole Liquid State in 2D gamma-Phase Group-IV Monochalcogenides

Different dispersion near the electronic band edge of a semiconductor can have great influence on...


March 13, 2020

Bulk and Surface Electronic Structure of the Dual-Topology Semimetal Pt2HgSe3

I. Cucchi, A. Marrazzo, E. Cappelli, S. Ricco, F.Y. Bruno, S. Lisi, M. Hoesch, T.K. Kim, C. Cacho,...


March 12, 2020

Quantifying Diffusion through Interfaces of Lithium-Ion Battery Active Materials

P. Benedek, O.K. Forslund, E. Nocerino, N. Yazdani, N. Matsubara, Y. Sassa, F. Juranyi, M. Medarde...


March 11, 2020

Correlation of Spatiotemporal Dynamics of Polarization and Charge Transport in Blended Hybrid Organic-Inorganic Perovskites on Macro- and Nanoscales

L. Collins, E.S. Muckley, H. Tsai, D. Ghosh, A.J. Neukirch, S. Tretiak, S.V. Kalinin, W.Y. Nie, and...


March 10, 2020

Atomically thin half-van der Waals metals enabled by confinement heteroepitaxy

N. Briggs, B. Bersch, Y.X. Wang, J. Jiang, R.J. Koch, N. Nayir, K. Wang, M. Kolmer, W. Ko, A.D...


March 5, 2020

Transferable Machine-Learning Model of the Electron Density

A. Grisafi, A. Fabrizio, B. Meyer, D. M. Wilkins, C. Corminboeuf, and M. Ceriotti


March 5, 2020

A monolayer transition metal dichalcogenide as a topological excitonic insulator

D. Varsano, M. Palummo, E. Molinari, and M. Rontani


March 5, 2020

Investigation of structural, electronic and magnetic properties of breathing metal-organic framework MIL-47(Mn): A first principles approach

M. Hosseini, D. E. P. Vanpoucke, P. Giannozzi, M. Berahmanf, and N. Hadipour


March 5, 2020

Software for quantum simulations of tomorrow

P. Giannozzi


March 4, 2020

CANCELED - Materials design at the eXascale: success cases using HPC and HTC

The EHPCSW is CANCELED - and hence also the MaX workshop - given the current situation. The EuroHPC Summit Week (EHPCSW) 2020 will gather the main European HPC stakeholders from technology suppliers and HPC infrastructures to scientific and industrial HPC users in Europe. The 2020 edition will take place from 23-27 March in Porto, Portugal.


March 3, 2020

Advanced school on Quantum Transport using SIESTA - POSTPONED

The Advanced school on Quantum Transport using SIESTA code, initially scheduled in San Sebastian 23rd/27th March, has been postponed to a later date . We will keep you abreast once the new date will be confirmed. Event: Advanced school on Quantum Transport using SIESTA Where: DIPC (San Sebastian, ES) Who (in-charge): Zeila Zanolli (ICN2) What: School When: 23 - 27 March 2020 More info and application


March 2, 2020

Absolute band alignment at semiconductor-water interfaces using explicit and implicit descriptions for liquid water

N. G. Hoermann, Z. Guo, F. Ambrosio, O. Andreussi, A. Pasquarello, and N. Marzari


March 2, 2020

A monolayer transition-metal dichalcogenide as a topological excitonic insulator

Monolayer transition-metal dichalcogenides in the T′ phase could enable the realization of the...


March 1, 2020

Superionic conductivity in lithium argyrodite solid-state electrolyte by controlled Cl-doping

C. Yu, Y. Li, M. Willans, Y. Zhao, K.R. Adair, F.P. Zhao, W.H. Li, S.X. Deng, J.W. Liang, M.N...


February 26, 2020

Job opportunities @CINECA

CINECA is looking for 3 researchers to be involved in the SC High Performance Computing for...


February 26, 2020

Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning

F. Pittino, P. Bonfà, A. Bartolini, F. Affinito, L. Benini, and C. Cavazzoni


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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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