Toward Using Matrix-free Tensor Decompositions to Systematically Improve Approximate Tensor-Networks

Karl Pierce

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DOI: 10.1021/acs.jctc.5c00413
Published: 2025-06-26
Container: Journal of Chemical Theory and Computation
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jctc.5c00413,
  title = {Toward Using Matrix-free Tensor Decompositions to Systematically Improve Approximate Tensor-Networks},
  author = {Karl Pierce},
  year = {2025},
  journal = {Journal of Chemical Theory and Computation},
  doi = {10.1021/acs.jctc.5c00413},
  url = {https://doi.org/10.1021/acs.jctc.5c00413}
}

RIS

TY  - JOUR
TI  - Toward Using Matrix-free Tensor Decompositions to Systematically Improve Approximate Tensor-Networks
AU  - Karl Pierce
PY  - 2025
JO  - Journal of Chemical Theory and Computation
DO  - 10.1021/acs.jctc.5c00413
UR  - https://doi.org/10.1021/acs.jctc.5c00413
ER  -

APA

Pierce, K. (2025). Toward Using Matrix-free Tensor Decompositions to Systematically Improve Approximate Tensor-Networks. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.5c00413

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crossref · retrieved 2026-09-25T18:18:22.080Z