97 citations · 280 across the 9 of their papers we have counts for
9 papers
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Matteo Manica, Christoph Auer, Valery Weber +9
Information extraction and data mining in biochemical literature is a daunting task that demands resource-intensive computation and appropriate means to scale knowledge ingestion.…
DFT+DMFT calculations of the complex band and tunneling behavior for the transition metal monoxides MnO, FeO, CoO and NiO
Long Zhang, Peter Staar, Anton Kozhevnikov +4
We report complex band structure (CBS) calculations for the four late transition metal monoxides, MnO, FeO, CoO and NiO, in their paramagnetic phase. The CBS is obtained from densi…
Interlaced coarse-graining for the dynamic cluster approximation
P. Staar, M. Jiang, U. R. Hähner +2
The dynamical cluster approximation (DCA) and its DCA extension use coarse-graining of the momentum space to reduce the complexity of quantum many-body problems, thereby mappin…
Optimizing qubit resources for quantum chemistry simulations in second quantization on a quantum computer
Nikolaj Moll, Andreas Fuhrer, Peter Staar +1
Quantum chemistry simulations on a quantum computer suffer from the overhead needed for encoding the fermionic problem in a bosonic system of qubits. By exploiting the block diagon…
A Bespoke Single-Band Hubbard Model Material
S. M. Griffin, P. Staar, T. C. Schulthess +2
The Hubbard model, which augments independent-electron band theory with a single parameter to describe electron-electron correlations, is widely regarded to be the `standard model'…
Two-particle correlations in a dynamic cluster approximation with continuous momentum dependence: Superconductivity in the 2D Hubbard model
Peter Staar, Thomas Maier, Thomas Schulthess
The DCA algortihm was recently introduced to extend the dynamic cluster approximation (DCA) with a continuous lattice self-energy in order to achieve better convergence with cl…