works on

From the 1 of 100 papers with an AI index.

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19972026
most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

29.3k citations

Showing 2023Show all

7 papers · 1 filter

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

astro-ph.IM2023★ 6 cited

The MPI + CUDA Gaia AVU-GSR Parallel Solver Toward Next-generation Exascale Infrastructures

Valentina Cesare, Ugo Becciani, Alberto Vecchiato +4

We ported to the GPU with CUDA the Astrometric Verification Unit-Global Sphere Reconstruction (AVU-GSR) Parallel Solver developed for the ESA Gaia mission, by optimizing a previous…

quant-ph2023★ 10 cited

Machine-learning based noise characterization and correction on neutral atoms NISQ devices

Ettore Canonici, Stefano Martina, Riccardo Mengoni +2

Neutral atoms devices represent a promising technology that uses optical tweezers to geometrically arrange atoms and modulated laser pulses to control the quantum states. A neutral…

physics.flu-dyn2023★ 148 cited

Extreme flow simulations reveal skeletal adaptations of deep-sea sponges

Giacomo Falcucci, Giorgio Amati, Pierluigi Fanelli +4

Since its discovery, the deep-sea glass sponge Euplectella aspergillum has attracted interest in its mechanical properties and beauty. Its skeletal system is composed of amorphous…

physics.flu-dyn2023★ 12 cited

Direct numerical simulation of supersonic boundary layers over a microramp: effect of the Reynolds number

Giacomo Della Posta, Matteo Blandino, Davide Modesti +2

Microvortex generators are passive control devices smaller than the boundary layer thickness that energise the boundary layer to prevent flow separation with limited induced drag.…

astro-ph.GA2023★ 5 cited

A Bayesian chemical evolution model of the DustPedia Galaxy M74

Francesco Calura, Marco Palla, Laura Morselli +8

We introduce a new, multi-zone chemical evolution model of the DustPedia galaxy M74, calibrated by means of MCMC methods. We take into account the observed stellar and gas density…