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researcher

M. Barbatti

11 papers hereh-index 5310.5k citations251 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 11 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph8
  • cs.LG1
  • physics.comp-ph1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedMLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows

70 citations · 171 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

physics.chem-ph2024★ 5 cited

A simple approach to rotationally invariant machine learning of avector quantity

Jakub Martinka, Marek Pederzoli, Mario Barbatti +2

Unlike with the energy, which is a scalar property, machine learning (ML) predictions of vector or tensor properties poses the additional challenge of achieving proper invariance (…

physics.chem-ph2024★ 31 cited

MLatom software ecosystem for surface hopping dynamics in Python with quantum mechanical and machine learning methods

Lina Zhang, Sebastian V. Pios, Mikołaj Martyka +7

We present an open-source MLatom@XACS software ecosystem for on-the-fly surface hopping nonadiabatic dynamics based on the Landau-Zener-Belyaev-Lebedev (LZBL) algorithm. The dynami…

physics.chem-ph2024★ 1 cited

Prediction Challenge: Simulating Rydberg Photoexcited Cyclobutanone with Surface Hopping Dynamics based on Different Electronic Structure Methods

Saikat Mukherjee, Rafael S. Mattos, Josene M. Toldo +2

This research examines the nonadiabatic dynamics of cyclobutanone after excitation into the n-3s Rydberg S2 state. It stems from our contribution to the Special Topic of the Journa…

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