BetaCitation Atlas

RESEARCH PAPER · Physical review. B./Physical review. B · 2025

Machine learning approach to predict L -edge x-ray absorption spectra of light transition metal ion compounds

Read original paper ↗

See where this research leads.

5 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine learning approach to predict L -edge x-ray absorption spectra of light transition metal ion compoundsOriginalHamiltonian parameter inference from resonant inelastic x-ray scattering with active learning0Imaging nanoscale carrier, thermal, and structural dynamics with time-resolved and ultrafast electron energy-loss spectroscopy7From database to prediction: Machine learning for 5-f elements coordination using actinide x-ray experimental spectra (AXES) collection0Machine-Learning-Assisted X-ray Spectroscopy Decoding an Elemental Segregation Mechanism in Pt–Ru Binary Alloy Nanoparticles0From Local Atomic Structure to X-ray Spectra: Absorber-Centric Machine-Learning Encoding0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Browse Matching Papers

Papers that cite this work

5 direct citing papers saved.

  1. Hamiltonian parameter inference from resonant inelastic x-ray scattering with active learning

    Physical review. B./Physical review. B · 2025-10-08

    Márton Lájer, Xin Dai, Kipton M. Barros, Matthew R. Carbone, Steven Johnston, M. P. M. Dean

    Read original paper ↗ ·
  2. Imaging nanoscale carrier, thermal, and structural dynamics with time-resolved and ultrafast electron energy-loss spectroscopy

    Chemical Physics Reviews · 2025-10-30

    Wonseok Lee, Levi D. Palmer, Thomas E. Gage, Scott K. Cushing

    Read original paper ↗ ·
  3. From database to prediction: Machine learning for 5-f elements coordination using actinide x-ray experimental spectra (AXES) collection

    The Journal of Chemical Physics · 2025-12-18

    Evgeny Gerber, Pavel V. Zasimov, Artem A. Mitrofanov, Stepan Nikolaevich Kalmykov

    Read original paper ↗ ·
  4. Machine-Learning-Assisted X-ray Spectroscopy Decoding an Elemental Segregation Mechanism in Pt–Ru Binary Alloy Nanoparticles

    The Journal of Physical Chemistry Letters · 2026-04-30

    Quan Zhou, Sicong Qiao, Hongwei Shou, Heng Zhou, Shiqiang Wei, Shuangming Chen, Xiaojun Wu, 吕松 Lü Song

    Read original paper ↗ ·
  5. From Local Atomic Structure to X-ray Spectra: Absorber-Centric Machine-Learning Encoding

    The Journal of Physical Chemistry A · 2026-05-06

    Thomas J. Pope, Bowen Li, Hendrik Junkawitsch, Annika Bande, Thomas J. Penfold

    Read original paper ↗ ·