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Philipp Grohs — most-cited papers & profile · AI for Science
← authors
·
overview
Philipp Grohs
7
papers ·
17
citations ·
26
h-index
Austrian Academy of Sciences
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
2022 · 6 citations
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer
2023 · 3 citations
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
2021 · 3 citations
Towards a Foundation Model for Neural Network Wavefunctions
2023 · 3 citations
Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions
2023 · 1 citations
Transferable Neural Wavefunctions for Solids
2024 · 1 citations
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
2025
Top co-authors
Michael Scherbela
· 6
Leon Gerard
· 5
Philipp Marquetand
· 2
David Haselbach
· 1
Halvard Sutterud
· 1
Lukas Herrmann
· 1
Matthew Foulkes
· 1
Nicholas Gao
· 1
Pavol Harar
· 1
Rafael Reisenhofer
· 1
Stephan G\"unnemann
· 1
Topics
Physics ML
Chemistry
Materials
Math & Equations