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researcher

Xing Zhang

4 papers hereh-index 175.6k citations23 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2
  • cond-mat.supr-con1
  • physics.comp-ph1
same name
  • Xing Zhang — 15 papers, h 9
  • Xing Zhang — 9 papers, h 6
  • Xing Zhang — 4 papers, h 2
  • Xing Zhang — 4 papers, h 4
  • Xing Zhang — 3 papers, h 2
  • Xing Zhang — 3 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

collaborators

4 papers

cond-mat.supr-con2025

Ab initio quantum many-body description of superconducting trends in the cuprates

Zhi-Hao Cui, Junjie Yang, Johannes Tölle +9

Using a systematic ab initio quantum many-body approach that goes beyond low-energy models, we directly compute the superconducting pairing order and estimate the pairing gap of se…

physics.chem-ph2024

General Quantum Alchemical Free Energy Simulations via Hamiltonian Interpolation

Chenghan Li, Xing Zhang, Garnet Kin-Lic Chan

We present an implementation of alchemical free energy simulations at the quantum mechanical level by directly interpolating the electronic Hamiltonian. The method is compatible wi…

physics.comp-ph2024

Introducing GPU-acceleration into the Python-based Simulations of Chemistry Framework

Rui Li, Qiming Sun, Xing Zhang +1

We introduce the first version of GPU4PySCF, a module that provides GPU acceleration of methods in PySCF. As a core functionality, this provides a GPU implementation of two-electro…

physics.chem-ph2024

Performant Automatic Differentiation of Local Coupled Cluster Theories: Response Properties and Ab Initio Molecular Dynamics

Xing Zhang, Chenghan Li, Hong-Zhou Ye +2

In this work, we introduce a differentiable implementation of the local natural orbital coupled cluster (LNOCC) method within the automatic differentiation framework of the PySCFAD…

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