Philipp Hansmann

7 to 12 of 31

13JAN 2025
Allgemein
SOLAX release
SOLAX is an open-source Python solver for fermionic quantum many-body systems with neural-network support. It provides a modular framework—based on the standard formalism of second quantization—for building basis sets, states, and operators, and for solving quantum cluster problems efficiently. Implemented on top of JAX, SOLAX combines conventional CI tooling with NN-accelerated techniques, and has been […]SOLAX is an open-source Python solver for fermionic quantum many-body systems with neural-network support. It provides a modular framework—based on the standard formalism of second quantization—for building basis sets, states, and operators, and for solving quantum cluster problems efficiently. Implemented on top of JAX, SOLAX combines conventional CI tooling with NN-accelerated techniques, and has been […]
Read more about SOLAX release
23OCT 2024
Allgemein
New Preprint: Correlated adatoms on SiC
In 2018 we predicted chiral d-wave superconductivity in adatom lattices of Sn:Si(111) and Pb:Si(111) (Cao et al. 2018). Two years later that superconductivity was found (Wu et al. 2020) and in 2023 the chiral d-wave symmetry was confirmed (Ming et al. 2023). We continued the search for further promising candidate materials and present in our […]
Read more about New Preprint: Correlated adatoms on SiC
19SEP 2024
Allgemein
Master Project: Quantum Mechanics meets Machine Learning
Join the frontier of condensed matter research and tackle the “mother of all models”. The Hubbard model in 2 and larger dimensions is an unsolved paradigm of modern condensed matter physics and believed to hold the key for understanding emergent phenomena like high-temperature superconductivity, quantum magnetism, and many other emergent phenomena. Using our in-house developed […]
Read more about Master Project: Quantum Mechanics meets Machine Learning
13JUN 2024
Allgemein
Preprint: Revisiting N2 with Neural-Network-Supported CI
Yorick L. A. Schmerwitz, Louis Thirion, Gianluca Levi, Elvar Ö. Jónsson, Pavlo Bilous, Hannes Jónsson, and Philipp Hansmann We apply a recently proposed computational protocol for a neural-network-supported configuration interaction calculation to the paradigmatic N2 molecule. By comparison of correlation energy, binding energy, and the full dissociation curve to experimental and full CI benchmarks, we […]Yorick L. A. Schmerwitz, Louis Thirion, Gianluca Levi, Elvar Ö. Jónsson, Pavlo Bilous, Hannes Jónsson, and Philipp Hansmann We apply a recently proposed computational protocol for a neural-network-supported configuration interaction calculation to the paradigmatic N2 molecule. By comparison of correlation energy, binding energy, and the full dissociation curve to experimental and full CI benchmarks, we […]
Read more about Preprint: Revisiting N2 with Neural-Network-Supported CI
13JUN 2024
Allgemein
Preprint: Neural-network-supported basis optimizer for the configuration interaction problem in quantum many-body clusters: Feasibility study and numerical proof
Pavlo Bilous, Louis Thirion, Henri Menke, Maurits W. Haverkort, Adriana Pálffy, Philipp Hansmann A deep-learning approach to optimize the selection of Slater determinants in configuration interaction calculations for condensed-matter quantum many-body systems is developed. We exemplify our algorithm on the discrete version of the single-impurity Anderson model with up to 299 bath sites. Employing a […]Pavlo Bilous, Louis Thirion, Henri Menke, Maurits W. Haverkort, Adriana Pálffy, Philipp Hansmann A deep-learning approach to optimize the selection of Slater determinants in configuration interaction calculations for condensed-matter quantum many-body systems is developed. We exemplify our algorithm on the discrete version of the single-impurity Anderson model with up to 299 bath sites. Employing a […]
Read more about Preprint: Neural-network-supported basis optimizer for the configuration interaction problem in quantum many-body clusters: Feasibility study and numerical proof
13DEC 2023
Allgemein
New Preprint: Unconventional crystal structure of the high-pressure superconductor La3Ni2O7
Pascal Puphal, Pascal Reiss, Niklas Enderlein, Yu-Mi Wu, Giniyat Khaliullin, Vignesh Sundaramurthy, Tim Priessnitz, Manuel Knauft, Lea Richter, Masahiko Isobe, Peter A. van Aken, Hidenori Takagi, Bernhard Keimer, Y. Eren Suyolcu, Björn Wehinger, Philipp Hansmann, Matthias Hepting The discovery of high-temperature superconductivity in La3Ni2O7 at pressures above 14 GPa has spurred extensive research efforts. Yet, […]Pascal Puphal, Pascal Reiss, Niklas Enderlein, Yu-Mi Wu, Giniyat Khaliullin, Vignesh Sundaramurthy, Tim Priessnitz, Manuel Knauft, Lea Richter, Masahiko Isobe, Peter A. van Aken, Hidenori Takagi, Bernhard Keimer, Y. Eren Suyolcu, Björn Wehinger, Philipp Hansmann, Matthias Hepting The discovery of high-temperature superconductivity in La3Ni2O7 at pressures above 14 GPa has spurred extensive research efforts. Yet, […]
Read more about New Preprint: Unconventional crystal structure of the high-pressure superconductor La3Ni2O7