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TREX Symposium: Bridging Quantum Monte Carlo and High-Performance Simulations

Authors: Filippi, Claudia; Scemama, Anthony; Casula, Michele; Rupp, Matthias; Alavi, Ali; Jalby, William; Auweter, Axel; +3 Authors

TREX Symposium: Bridging Quantum Monte Carlo and High-Performance Simulations

Abstract

The TREX Center of Excellence in Exascale Computing organises the "Bridging Quantum Monte Carlo and High-Performance Simulations" Symposium, took place from February 5 to 9, 2024, in Esch-sur-Alzette, Luxembourg. The symposium focuses on the latest developments in quantum Monte Carlo (QMC) methods, also in relation to high-performance computing (HPC). Topics covered include materials simulations with QMC, method developments, HPC implementations, machine learning for QMC, trans-correlated methods, and others. The event will also feature some practical demonstrations to showcase the progress of TREX codes and libraries, including QMCkl and TREXIO. This symposium is tailored for researchers, scientists, and professionals within the quantum chemistry and physics, materials science, and high-performance computing domains. Visit the TREX website to learn more: https://trex-coe.eu/

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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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    Average
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citations
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!
0
Average
Average
Average
Green