Efficient and robust approximations to the full configuration interaction (full-CI) method such as the density matrix renormalization group (DMRG) and the full-CI quantum Monte Carlo (FCIQMC) algorithm allow for multiconfigurational self-consistent field (MC-SCF) calculations of molecules with many strongly correlated electrons. This opens up the possibility to treat large and complex systems that were previously untractable, but at the same time it calls for an efficient and reliable active space selection as the choice of how many electrons and orbitals enter the active space is critical for any multireference calculation. In this work we propose an Active Space Selection based on 1st order perturbation theory (ASS1ST) that follows a “bot...
To avoid the scaling of the number of qubits with the size of the basis set, one can divide the mole...
During the past 15 years, the density matrix renormalization group (DMRG) has become increasingly im...
Automated active space selection is arguably one of the most challenging and essential aspects of mu...
Efficient and robust approximations to the full configuration interaction (full-CI) method such as t...
One of the key challenges of quantum-chemical multi-configuration methods is the necessity to manual...
Complete active space self-consistent field (CASSCF) methods are enormously important in quantum che...
Bjorn Roos is one of the pioneers in the development and usage of multiconfigurational methods, in p...
A2. Electronic Structure Methods and Their Applications: no. A2-16 (invited)CASSCF (Complete Active ...
A novel approach to strongly contracted N-electron valence perturbation theory (SC-NEVPT2) as a mean...
The complete active space self-consistent field (CASSCF) method is the principal approach employed f...
A large-scale implementation of the complete active space self-consistent field (CASSCF) method is p...
Using Cholesky decomposition and density fitting to approximate the electron repulsion integrals, an...
We have calculated state-averaged complete-active-space self-consistent-field (SA-CASSCF), multiconf...
We propose an effective quantum information-assisted complete active space optimization scheme (QICA...
A novel stochastic Complete Active Space Self-Consistent Field (CASSCF) method has been developed an...
To avoid the scaling of the number of qubits with the size of the basis set, one can divide the mole...
During the past 15 years, the density matrix renormalization group (DMRG) has become increasingly im...
Automated active space selection is arguably one of the most challenging and essential aspects of mu...
Efficient and robust approximations to the full configuration interaction (full-CI) method such as t...
One of the key challenges of quantum-chemical multi-configuration methods is the necessity to manual...
Complete active space self-consistent field (CASSCF) methods are enormously important in quantum che...
Bjorn Roos is one of the pioneers in the development and usage of multiconfigurational methods, in p...
A2. Electronic Structure Methods and Their Applications: no. A2-16 (invited)CASSCF (Complete Active ...
A novel approach to strongly contracted N-electron valence perturbation theory (SC-NEVPT2) as a mean...
The complete active space self-consistent field (CASSCF) method is the principal approach employed f...
A large-scale implementation of the complete active space self-consistent field (CASSCF) method is p...
Using Cholesky decomposition and density fitting to approximate the electron repulsion integrals, an...
We have calculated state-averaged complete-active-space self-consistent-field (SA-CASSCF), multiconf...
We propose an effective quantum information-assisted complete active space optimization scheme (QICA...
A novel stochastic Complete Active Space Self-Consistent Field (CASSCF) method has been developed an...
To avoid the scaling of the number of qubits with the size of the basis set, one can divide the mole...
During the past 15 years, the density matrix renormalization group (DMRG) has become increasingly im...
Automated active space selection is arguably one of the most challenging and essential aspects of mu...