Mixed-Precision Ab Initio Tensor Network State Methods Adapted for NVIDIA Blackwell Technology via Emulated FP64 Arithmetic.

Brower C, Rodriguez Bernabeu S, Hammond J, Gunnels J, Xantheas SS, Ganahl M, Menczer A, Legeza Ö

Open source

DOI
10.1021/acs.jctc.6c00203
Published
2026 Jul 14
Container
Journal of chemical theory and computation
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1021/acs.jctc.6c00203,
  title = {Mixed-Precision Ab Initio Tensor Network State Methods Adapted for NVIDIA Blackwell Technology via Emulated FP64 Arithmetic.},
  author = {Brower C and Rodriguez Bernabeu S and Hammond J and Gunnels J and Xantheas SS and Ganahl M and Menczer A and Legeza Ö},
  year = {2026},
  journal = {Journal of chemical theory and computation},
  doi = {10.1021/acs.jctc.6c00203},
  url = {https://doi.org/10.1021/acs.jctc.6c00203}
}

RIS

TY  - JOUR
TI  - Mixed-Precision Ab Initio Tensor Network State Methods Adapted for NVIDIA Blackwell Technology via Emulated FP64 Arithmetic.
AU  - Brower C
AU  - Rodriguez Bernabeu S
AU  - Hammond J
AU  - Gunnels J
AU  - Xantheas SS
AU  - Ganahl M
AU  - Menczer A
AU  - Legeza Ö
PY  - 2026
JO  - Journal of chemical theory and computation
DO  - 10.1021/acs.jctc.6c00203
UR  - https://doi.org/10.1021/acs.jctc.6c00203
ER  - 

APA

C, B., S, R. B., J, H., J, G., SS, X., M, G., A, M., & Ö, L. (2026). Mixed-Precision Ab Initio Tensor Network State Methods Adapted for NVIDIA Blackwell Technology via Emulated FP64 Arithmetic.. Journal of chemical theory and computation. https://doi.org/10.1021/acs.jctc.6c00203

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