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Philipp Hansmann

4 papers hereh-index 442 citations8 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph3
  • physics.comp-ph1
same name
  • Philipp Hansmann — 2 papers, h 10
  • Philipp Hansmann — 2 papers, h 2

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

collaborators

4 papers

physics.chem-ph2026

Orbital Optimization and Neural-Network-Assisted Configuration Interaction Calculations of Rydberg States

Gianluca Levi, Max Kroesbergen, Louis Thirion +5

Rydberg excited states of molecules pose a challenge for electronic structure calculations because of their highly diffuse electron distribution. Even large and elaborate atomic ba…

physics.chem-ph2025

Natural-Orbital-Based Neural Network Configuration Interaction

Louis Thirion, Yorick L. A. Schmerwitz, Max Kroesbergen +5

Selective configuration interaction methods approximate correlated molecular ground- and excited states by considering only the most relevant Slater determinants in the expansion.…

physics.chem-ph2025

A Neural-Network-Based Selective Configuration Interaction Approach to Molecular Electronic Structure

Yorick L. A. Schmerwitz, Louis Thirion, Gianluca Levi +4

By combining Hartree-Fock with a neural-network-supported quantum-cluster solver proposed recently in the context of solid-state lattice models, we formulate a scheme for selective…

physics.comp-ph2025

SOLAX: A Python solver for fermionic quantum systems with neural network support

Louis Thirion, Philipp Hansmann, Pavlo Bilous

Numerical modeling of fermionic many-body quantum systems presents similar challenges across various research domains, necessitating universal tools, including state-of-the-art mac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.