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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Building Quantum Monte Carlo and High-Performance Simulations: Insights from the TREX Symposium

Authors: Pittonet, Sara; Tognetti, Ruben; Abergas-Arteza, Julie; Zazzeri, Niccolò;

Building Quantum Monte Carlo and High-Performance Simulations: Insights from the TREX Symposium

Abstract

From 5 to 9 February 2024 the TREX Center of Excellence in Exascale Computing organised the "Bridging Quantum Monte Carlo and High-Performance Simulations" Symposium in Esch-sur-Alzette, Luxembourg. Experts from across Europe and oversea converged to celebrate the project's achievements, discuss ongoing challenges and latest developments in QMC methods, also in relation to high-performance computing (HPC). The TREX Symposium highlighted both the immense potential and significant challenges of scaling QMC methods to the power of exascale computing. Topics included material simulations with QMC, method developments, HPC implementations, machine learning for QMC, trans-correlated methods, and more. The event also featured practical demonstrations showcasing the progress of TREX codes and libraries, including QMCkl and TREXIO. The main e highlights from these intense and stimulating days are collected into a report for the entire TREX community. Speakers’ presentations are available on the event page. https://trex-coe.eu/events/bridging-quantum-monte-carlo-and-high-performance-simulations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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