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researcher

Alexandre Tkatchenko

12 papers hereh-index 51.8k citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7
  • last author4

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph8
  • physics.comp-ph2
  • cs.CE1
  • cs.LG1
same name
  • Alexandre Tkatchenko — 9 papers, h 2
  • Alexandre Tkatchenko — 6 papers, h 16
  • Alexandre Tkatchenko — 5 papers, h 1
  • Alexandre Tkatchenko — 4 papers, h 3
  • Alexandre Tkatchenko — 2 papers
  • Alexandre Tkatchenko — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112026
most citedFast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

2.4k citations · 2.6k across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.chem-ph2025

QMeCha: quantum Monte Carlo package for fermions in embedding environments

Matteo Barborini, Jorge Charry, Matej Ditte +3

We present the first open access version of the QMeCha (Quantum MeCha) code, a quantum Monte Carlo (QMC) package developed to study many-body interactions between different types o…

cs.LG2025★ 1 cited

Machine learning surrogate models of many-body dispersion interactions in polymer melts

Zhaoxiang Shen, Raúl I. Sosa, Jakub Lengiewicz +2

Accurate prediction of many-body dispersion (MBD) interactions is essential for understanding the van der Waals forces that govern the behavior of many complex molecular systems. H…

physics.comp-ph2025★ 7 cited

Reproducibility of fixed-node diffusion Monte Carlo across diverse community codes: The case of water-methane dimer

Flaviano Della Pia, Benjamin X. Shi, Yasmine S. Al-Hamdani +30

Fixed-node diffusion quantum Monte Carlo (FN-DMC) is a widely-trusted many-body method for solving the Schrödinger equation, known for its reliable predictions of material and mole…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.