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Xiang Yuan

4 papers hereh-index 8161 citations18 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph3
  • physics.atom-ph1
same name
  • Xiang Yuan — 23 papers, h 26
  • Xiang Yuan — 8 papers, h 3
  • Xiang Yuan — 6 papers, h 5
  • Xiang Yuan — 5 papers, h 3
  • Xiang Yuan — 4 papers, h 3
  • Xiang Yuan — 2 papers, h 1

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

most citedAssessing MP2 frozen natural orbitals in relativistic correlated electronic structure calculations

19 citations · 37 across the 4 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

3 papers · 1 filter

physics.chem-ph2023★ 12 cited

Formulation and Implementation of Frequency-Dependent Linear Response Properties with Relativistic Coupled Cluster Theory for GPU-accelerated Computer Architectures

Xiang Yuan, Loic Halbert, Johann Pototschnig +4

We present the development and implementation of the relativistic coupled cluster linear response theory (CC-LR) which allows the determination of molecular properties arising from…

physics.chem-ph2022★ 6 cited

Reassessing the potential of TlCl for laser cooling experiments via four-component correlated electronic structure calculations

Xiang Yuan, André Severo Pereira Gomes

The TlCl molecule has previously been investigated theoretically and proposed as promising candidates for laser cooling searches [X. Yuan et. al. J. Chem. Phys., 149, 094306, 2018]…

physics.chem-ph2022★ 19 cited

Assessing MP2 frozen natural orbitals in relativistic correlated electronic structure calculations

Xiang Yuan, Lucas Visscher, Andre Severo Pereira Gomes

The high computational scaling with the number of correlated electrons and the size of the basis set is a bottleneck which limits applications of coupled cluster (CC) algorithms. T…

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