699 citations · 703 across the 2 of their papers we have counts for
5 papers
Automatic selection of active spaces for strongly correlated systems using machine learning algorithms
Pavlo Golub, Andrej Antalik, Libor Veis +1
The active-space quantum chemical methods could provide very accurate description of strongly correlated electronic systems, which is of tremendous value for natural sciences. The…
NWChem: Past, Present, and Future
E. Aprà, E. J. Bylaska, W. A. de Jong +111
Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts…
Massively parallel quantum chemical density matrix renormalization group method
Jiří Brabec, Jan Brandejs, Karol Kowalski +3
We present, to the best of our knowlegde, the first attempt to exploit the supercomputer platform for quantum chemical density matrix renormalization group (QC-DMRG) calculations.…
Near-linear Scaling in DMRG-based Tailored Coupled Clusters: An Implementation of DLPNO-TCCSD and DLPNO-TCCSD(T)
Jakub Lang, Andrej Antalík, Libor Veis +4
We present a new implementation of DMRG-based tailored coupled clusters method (TCCSD), which employs the domain-based local pair natural orbital approach (DLPNO-TCCSD). Compared t…
Towards the Efficient Local Tailored Coupled Cluster Approximation and the Peculiar Case of Oxo-Mn(Salen)
Andrej Antalík, Libor Veis, Jiří Brabec +2
We introduce a new implementation of the coupled cluster method tailored by matrix product states wave functions (DMRG-TCCSD), which employs the local pair natural orbital approach…