Publications

Want to learn more about TREX? On this page, you can find our archive of informative publication materials: reports, deliverables, presentations and articles from experts within the TREX community speaking about various TREX related topics. All the public materials published by TREX partners are available on the TREX Zenodo Community.

Presentation

Dispersion interactions in exciton-localised states. Theory and applications to π − π* and n − π* excited states.

Michał Hapka; Katarzyna Pernal

Presentation on dispersion interactions in exciton-localized states given at the OpenMolcas developers' workshop, June 2022. ...Read more
24 Views14 Downloads
Presentation

Optimization of Jastrow factors for Similarity Transformed quantum chemical methods

Pablo Lopez Rios; Philip Haupt; Ali Alavi

Presentation on "Optimization of Jastrow factors for Similarity Transformed quantum chemical methods" for the OpenMolcas developers' workshop 2022. ...Read more
82 Views44 Downloads
Presentation

The TREXIO file format and library

Anthony Scemama

Within the "Targeting REal chemical accuracy at the eXascale" (TREX) European center of excellence, we are building a file format and library to help inter-operability between quantum chemistry codes, and also to help the reproducibility of calculations. This is a tedious task because the codes have different conventions such as the normalization of the basis, the ordering of atomic orbitals, the phase factors in the CI coefficients, etc... ...Read more
90 Views79 Downloads
Presentation

Diffusion Monte Carlo with range-separated DFT/CIPSI trial wave functions

Scemama, Anthony; Giner, Emmanuel; Benali, Anouar; Loos, Pierre-Francois; Caffarel, Michel

Range-separated DFT was implemented within selected configuration interaction (sCI).[1] The PBE density functional is used for the short-range correlation, and CIPSI is used for the long-range. The introduction of DFT for short range correlation has multiple benefits for QMC simulations. First, it reduces significantly the size of the CI expansion by several orders of magnitude. Secondly, it mimics the effect of a short-range correlation factor such as the Jastrow factor used in QMC simulations, leading to a significant improvement of the nodal surfaces, and energy differences. ...Read more
40 Views48 Downloads
Report

A new generation of HPC developers using quantum Monte Carlo (QMC) methods is growing

Sara Pittonet Gaiarin; Michele Casula; Jacopo Mariani

Quantum Monte Carlo (QMC) methods belong to one of the most accurate families of numerical approaches for materials and electronic structure calculations. Moreover, the steady increase of computer power in HPC machines is very much suitable for the development and usage of stochastic ab initio methods, which - beside the high precision - are highly parallelizable and enjoy a favorable scaling with the system size. ...Read more
49 Views47 Downloads
Presentation

QMC Hands-on Summer Workshop 20-23 July 2022 Presentations

Filippi, Claudia; Ravindra, Shinde; Scemama, Anthony; Chilkuri, Vijay Gopal; Nakano, Kosuke

Thee QMC Hands-on Summer Workshop was held from 20 to 23 July 2022.  The video recording of the event is avaialable here.  Hands-on tutorials are available on the following links: ...Read more
49 Views19 Downloads
Articles

High-pressure hydrogen by machine learning and quantum Monte Carlo

Andrea Tirelli, Giacomo Tenti, Kousuke Nakano, Sandro Sorella

https://doi.org/10.1103/PhysRevB.106.L041105 https://doi.org/10.1103/PhysRevB.106.L041105
Articles

Principal Deuterium Hugoniot via Quantum Monte Carlo and Δ-learning

Giacomo Tenti, Andrea Tirelli, Kousuke Nakano, Michele Casula, Sandro Sorella

https://doi.org/10.48550/arXiv.2301.03570 https://doi.org/10.48550/arXiv.2301.03570 ARXIV https://arxiv.org/abs/2301.03570
Poster

TREX Targeting REal Accuracy at eXascale

Affinito, Fabio

In order to compete in the demanding rush in high-precision quantum chemical simulation methods, the TREX Center of Excellence (CoE) federates European scientists, High Performance Computing (HPC) stakeholders, and SMEs to develop and apply high-performance software solutions for quantum mechanical simulations at the exascale. The final goal of the project is to develop a set of flagship Quantum Monte Carlo codes, able to exploit the capabilities of the recent exascale computers at their highest. ...Read more
128 Views68 Downloads
Presentation

TREX : an innovative view of HPC usage applied to Quantum Monte Carlo simulations

Scemama, Anthony; de Oliveira Castro, Pablo; Valensi, Cedric; Jalby, William

    TREX : an innovative view of HPC usage applied to Quantum Monte Carlo simulations                                                                                                          ...Read more
105 Views102 Downloads