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Martin Ganahl — most-cited papers & profile · AI for Science
← authors
·
overview
Martin Ganahl
5
papers ·
38
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Large scale quantum chemistry with Tensor Processing Units
2022 · 29 citations
Orbital optimization of large active spaces via AI-accelerators
2025 · 6 citations
Mixed-precision ab initio tensor network state methods adapted for NVIDIA Blackwell technology via emulated FP64 arithmetic
2025
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
2024
Top co-authors
Andor Menczer
· 2
Jeff Hammond
· 2
\"Ors Legeza
· 2
\'Ad\'am Ganyecz
· 1
Adam G.M. Lewis
· 1
and Frank Neese
· 1
Cole Brower
· 1
Dan Zhao
· 1
Guifré Vidal
· 1
Jackson Beall
· 1
James Stokes
· 1
John Gunnels
· 1
Topics
Chemistry
Materials
Physics ML