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    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 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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November 22, 2022

Julio Gutiérrez


November 22, 2022

Ivan Carnimeo


October 6, 2022

Efficient materials modelling on HPC with QUANTUM ESPRESSO, Yambo and BigDFT

In recent years, computing technologies underlying materials modelling and electronic structure...


September 30, 2022

Multiscale modeling strategy to solve fullerene formation mystery

A. M. Popov, I. V. Lebedeva, S. A. Vyrko, and N. A. Poklonski


September 30, 2022

Developing a Neural Network potential to investigate interface phenomena in solid-phase epitaxy

R. Lot, L. Martin-Samos, S. De Gironcoli, and A. Hemeryck


September 30, 2022

Structural and magnetic phase diagram of epitaxial La0.7Sr0.3MnO3from first principles

J. Pilo, M. Pruneda, and N. C. Bristowe


September 30, 2022

Measuring shared electrons in extended molecular systems: Covalent bonds from plane-wave representation of wave function

G. La Penna, D. Tiana, and P. Giannozzi


September 30, 2022

Unsupervised Learning Methods for Molecular Simulation Data

A. Glielmo, B. E. Husic, A. Rodriguez, C. Clementi, F. Noé, and A. Laio


September 30, 2022

Virtual Computational Chemistry Teaching Laboratories—Hands-On at a Distance

R. Kobayashi, T.P.M. Goumans, N. Ole Carstensen, T. Soini, N. Marzari, I. Timrov, S. Poncé, E. B...


September 30, 2022

QEHeat: An open-source energy flux calculator for the computation of heat-transport coefficients from first principles

A. Marcolongo, R. Bertossa, D. Tisi, and S. Baroni


September 30, 2022

Electron–plasmon and electron–magnon scattering in ferromagnets from first principles by combining GW and GT self-energies

D. Nabok, S. Blügel, and C. Friedrich


September 30, 2022

Photoinduced modulation of the excitonic resonance via coupling with coherent phonons in a layered semiconductor

S. Mor, V. Gosetti, A. Molina-Sánchez, D. Sangalli, S. Achilli, V. F. Agekyan, P. Franceschini, C...


September 30, 2022

Relativistic first-principles theory of Yu-Shiba-Rusinov states applied to Mn adatoms and Mn dimers on Nb(110)

B. Nyári, A. Lászlóffy, L. Szunyogh, G. Csire, K. Park, and B. Ujfalussy


September 30, 2022

Topology, Oxidation States, and Charge Transport in Ionic Conductors

P. Pegolo, S. Baroni, and F. Grasselli


September 30, 2022

Tuning the topological band gap of bismuthene with silicon-based substrates

N. Wittemeier, P. Ordejón, and Z. Zanolli


September 30, 2022

SporTran: A code to estimate transport coefficients from the cepstral analysis of (multivariate) current time series

L. Ercole, R. Bertossa, S. Bisacchi, and S. Baroni


September 29, 2022

Density functional theory calculations of large systems: Interplay between fragments, observables, and computational complexity

W. Dawson, A. Degomme, M. Stella, T. Nakajima, L. E. Ratcliff, and L. Genovese


September 29, 2022

Empty electron states in cobalt-intercalated graphene

A. Calloni, G. Bussetti, G. Avvisati, M. S. Jagadeesh, D. Pacilè, A. Ferretti, D. Varsano, C...


September 28, 2022

At SC21, Experts Ask: Can Fast HPC Be Green?

D. Cesarini (CINECA)


September 28, 2022

Exciton-phonon interaction calls for a revision of the “exciton” concept

F. Paleari and A. Marini


September 28, 2022

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

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


September 28, 2022

Heat transport in liquid water from first-principles and deep-neural-network simulations

D. Tisi, L. Zhang, R. Bertossa, H. Wang, R. Car, 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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