output
20162025
most citedA Mountaineering Strategy to Excited States: Highly-Accurate Energies and Benchmarks for Medium Size Molecules

241 citations

34 papers

cs.LG2025

Robust Barycenters of Persistence Diagrams

Keanu Sisouk, Eloi Tanguy, Julie Delon +1

This short paper presents a general approach for computing robust Wasserstein barycenters of persistence diagrams. The classical method consists in computing assignment arithmetic…

cs.LG2025

BondMatcher: H-Bond Stability Analysis in Molecular Systems

Thomas Daniel, Malgorzata Olejniczak, Julien Tierny

This application paper investigates the stability of hydrogen bonds (H-bonds), as characterized by the Quantum Theory of Atoms in Molecules (QTAIM). First, we contribute a database…

cs.CG2025

Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction

Mattéo Clémot, Julie Digne, Julien Tierny

This paper presents a novel topology-aware dimensionality reduction approach aiming at accurately visualizing the cyclic patterns present in high dimensional data. To that end, we…

physics.flu-dyn2024

Identifying Locally Turbulent Vortices within Instabilities

Fabien Vivodtzev, Florent Nauleau, Jean-Philippe Braeunig +1

This work presents an approach for the automatic detection of locally turbulent vortices within turbulent 2D flows such as instabilites. First, given a time step of the flow, metho…

cond-mat.mtrl-sci2024★ 18 cited

Accelerating QM/MM simulations of electrochemical interfaces through machine learning of electronic charge densities

Andrea Grisafi, Mathieu Salanne

A crucial aspect in the simulation of electrochemical interfaces consists in treating the distribution of electronic charge of electrode materials that are put in contact with an e…

cond-mat.stat-mech2023★ 4 cited

Ergodicity breaking and deviation from Eigenstate Thermalisation in relativistic QFT

Miha Srdinšek, Tomaž Prosen, Spyros Sotiriadis

The validity of the ergodic hypothesis in quantum systems can be rephrased in the form of the eigenstate thermalisation hypothesis (ETH), a set of statistical properties for the ma…

cond-mat.stat-mech2023★ 3 cited

Rényi entropy of quantum anharmonic chain at non-zero temperature

Miha Srdinšek, Michele Casula, Rodolphe Vuilleumier

The interplay of quantum and classical fluctuations in the vicinity of a quantum critical point (QCP) gives rise to various regimes or phases with distinct quantum character. In th…

physics.flu-dyn2022

Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical non-equilibrium

Clément Scherding, Georgios Rigas, Denis Sipp +2

In this paper, we present a novel model-agnostic machine learning technique to extract a reduced thermochemical model for reacting hypersonic flows simulation. A first simulation g…

math.NA2022

A Directional Equispaced interpolation-based Fast Multipole Method for oscillatory kernels

Igor Chollet, Xavier Claeys, Pierre Fortin +1

Fast Multipole Methods (FMMs) based on the oscillatory Helmholtz kernel can reduce the cost of solving N-body problems arising from Boundary Integral Equations (BIEs) in acoustic o…

cond-mat.stat-mech2022★ 1 cited

Position-dependent memory kernel in generalized Langevin equations: theory and numerical estimation

Hadrien Vroylandt, Pierre Monmarché

Generalized Langevin equations with non-linear forces and position-dependent linear friction memory kernels, such as commonly used to describe the effective dynamics of coarse-grai…

cond-mat.stat-mech2021★ 6 cited

Quantum Rényi entropy by optimal thermodynamic integration paths

Miha Srdinšek, Michele Casula, Rodolphe Vuilleumier

Despite being a well-established operational approach to quantify entanglement, Rényi entropy calculations have been plagued by their computational complexity. We introduce here a…

cond-mat.stat-mech2021★ 57 cited

Likelihood-based non-Markovian models from molecular dynamics

Hadrien Vroylandt, Ludovic Goudenège, Pierre Monmarché +2

We introduce a new method to accurately and efficiently estimate the effective dynamics of collective variables in molecular simulations. Such reduced dynamics play an essential ro…

physics.class-ph2021★ 16 cited

Self-consistent density-based basis-set correction: How much do we lower total energies and improve dipole moments?

Emmanuel Giner, Diata Traore, Barthélemy Pradines +1

This work provides a self-consistent extension of the recently proposed density-based basis-set correction method for wave-function electronic-structure calculations [J. Chem. Phys…

cond-mat.dis-nn2020★ 25 cited

The complexity of protein interactions unravelled from structural disorder

Beatriz Seoane, Alessandra Carbone

The idea that structural disorder might be a novel mechanism of protein interaction is widespread in the Literature, although the number of statistically significant structural stu…

cs.HC2020★ 23 cited

CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR

Elodie Bouzbib, Gilles Bailly, Sinan Haliyo +1

We present CoVR, a novel robotic interface providing strong kinesthetic feedback (100 N) in a room-scale VR arena. It consists of a physical column mounted on a 2D Cartesian ceilin…

physics.chem-ph2020★ 43 cited

Quantifying the error of the core-valence separation approximation

Michael F. Herbst, Thomas Fransson

For the calculation of core-excited states probed through X-ray absorption spectroscopy, the core-valence separation (CVS) scheme has become a vital tool. This approach allows to t…

physics.chem-ph2020★ 106 cited

A Mountaineering Strategy to Excited States: Highly-Accurate Energies and Benchmarks for Exotic Molecules and Radicals

Pierre-François Loos, Anthony Scemama, Martial Boggio-Pasqua +1

Aiming at completing the sets of FCI-quality transition energies that we recently developed (\textit{J.~Chem.~Theory Comput.} \textbf{14} (2018) 4360--4379, \textit{ibid.}~\textbf{…

physics.chem-ph2020★ 241 cited

A Mountaineering Strategy to Excited States: Highly-Accurate Energies and Benchmarks for Medium Size Molecules

Pierre-François Loos, Filippo Lipparini, Martial Boggio-Pasqua +2

Following our previous work focussing on compounds containing up to 3 non-hydrogen atoms [\emph{J. Chem. Theory Comput.} {\bfseries 14} (2018) 4360--4379], we present here highly-a…

physics.chem-ph2019★ 36 cited

A Density-Based Basis-Set Incompleteness Correction for GW Methods

Pierre-François Loos, Barthélémy Pradines, Anthony Scemama +2

Similar to other electron correlation methods, many-body perturbation theory methods based on Green functions, such as the so-called approximation, suffer from the usual slow…

physics.comp-ph2019★ 72 cited

adcc: A versatile toolkit for rapid development of algebraic-diagrammatic construction methods

Michael F. Herbst, Maximilian Scheurer, Thomas Fransson +2

ADC-connect (adcc) is a hybrid python/C++ module for performing excited state calculations based on the algebraic-diagrammatic construction scheme for the polarisation propagator (…

physics.med-ph2019

Reduced-order modeling of hemodynamics across macroscopic through mesoscopic circulation scales

Olivier Adjoua, Stéphanie Pitre-Champagnat, Didier Lucor

We propose a hemodynamic reduced-order model bridging macroscopic and meso-scopic blood flow circulation scales from arteries to capillaries. In silico tree like vascular geometrie…

cs.MS2019★ 17 cited

Raising the Performance of the Tinker-HP Molecular Modeling Package [Article v1.0]

Luc-Henri Jolly, Alejandro Duran, Louis Lagardère +3

This living paper reviews the present High Performance Computing (HPC) capabilities of the Tinker-HP molecular modeling package. We focus here on the reference, double precision, m…

physics.chem-ph2019★ 50 cited

A Density-Based Basis-Set Correction For Wave Function Theory

Pierre-François Loos, Bathélemy Pradines, Anthony Scemama +2

We report a universal density-based basis-set incompleteness correction that can be applied to any wave function method. The present correction, which appropriately vanishes in the…

cond-mat.dis-nn2019★ 21 cited

Learning a Local Symmetry with Neural-Networks

Aurélien Decelle, Victor Martin-Mayor, Beatriz Seoane

We explore the capacity of neural networks to detect a symmetry with complex local and non-local patterns : the gauge symmetry Z 2 . This symmetry is present in physical problems f…