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Jakub Lang

7 papers hereh-index 328 citations7 works total

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

author position
  • first author3
  • middle author3
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph5
  • physics.atom-ph1
  • physics.data-an1
same name
  • Jakub Lang — 5 papers, h 7

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
20232026
most citedAtomic Bethe logarithm in the mean-field approximation

10 citations · 28 across the 6 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

physics.chem-ph2026

Determination of fundamental properties of nitrogen from first principles. III. Temperature and frequency dependence of the molecular polarizability and magnetic susceptibility

Jakub Lang, Giovanni Garberoglio, Michał Przybytek +1

This work is the third part of the series of papers that focus on the theoretical determination of the properties of nitrogen that are relevant in metrology. Here we present first-…

physics.chem-ph2026

Determination of fundamental properties of nitrogen from first principles. II. Potential energy curve and spectroscopic properties of N2​

Jakub Lang, Michał Przybytek, Michał Lesiuk

This work is the second part of the series devoted to first-principles determination of the fundamental properties of nitrogen. In this part, we calculate the potential energy curv…

physics.chem-ph2026

Determination of fundamental properties of nitrogen from first principles. I. Atomic polarizabilities and long-range dispersion coefficients

Michał Przybytek, Jakub Lang, Michał Lesiuk

This work is the first in a series of papers in which we perform theoretical calculations of various fundamental properties of nitrogen relevant for gas thermometry experiments. In…

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