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W. Liang

3 papers hereh-index 307.8k citations141 works total

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

author position
  • middle author3

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

fields
  • cond-mat.mtrl-sci2
  • physics.comp-ph1
same name
  • W. Liang — 72 papers, h 18
  • W. Liang — 24 papers, h 5
  • W. Liang — 19 papers, h 14
  • W. Liang — 15 papers, h 31
  • W. Liang — 11 papers, h 9
  • W. Liang — 8 papers, h 50

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
20052020
most citedSpin unrestricted linear scaling electronic structure theory and its application to magnetic carbon doped BN nanotubes

27 citations · 47 across the 3 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2020★ 8 cited

Efficient Parallel Linear Scaling Method to get the Response Density Matrix in All-Electron Real-Space Density-Functional Perturbation Theory

Honghui Shang, Wanzhen Liang, Yunquan Zhang +1

The real-space density-functional perturbation theory (DFPT) for the computations of the response properties with respect to the atomic displacement and homogeneous electric field…

cond-mat.mtrl-sci2006★ 12 cited

Linear scaling calculation of maximally-localized Wannier functions with atomic basis set

H. J. Xiang, Zhenyu Li, W. Z. Liang +3

We have developed a linear scaling algorithm for calculating maximally-localized Wannier functions (MLWFs) using atomic orbital basis. An O(N) ground state calculation is carried o…

cond-mat.mtrl-sci2005★ 27 cited

Spin unrestricted linear scaling electronic structure theory and its application to magnetic carbon doped BN nanotubes

H. J. Xiang, W. Z. Liang, Jinlong Yang +2

We present an extension of density matrix based linear scaling electronic structure theory to incorporate spin degrees of freedom. When the spin multiplicity of the system can be p…

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