We introduce an efficient method to construct optimal and system adaptive basis sets for use in electronic structure and quantum Monte Carlo calculations. The method is based on an embedding scheme in which a reference atom is singled out from its environment, while the entire system (atom and environment) is described by a Slater determinant or its antisymmetrized geminal power (AGP) extension. The embedding procedure described here allows for the systematic and consistent contraction of the primitive basis set into geminal embedded orbitals (GEOs), with a dramatic reduction of the number of variational parameters necessary to represent the many-body wave function, for a chosen target accuracy. Within the variational Monte Carlo method, th...
It is chemically intuitive that an optimal atom centered basis set must adapt to its atomic environm...
Optimization approaches using several global and local algorithms (genetic algorithms, direct search...
An efficient method for optimizing single-determinant wave functions of medium and large systems is ...
International audienceWe introduce an efficient method to construct optimal and system adaptive basi...
In this article, we propose general criteria to construct optimal atomic centered basis sets in quan...
In this work, we report potential energy surfaces (PESs) of the sodium dimer calculated by variation...
We describe a method for computing near-exact energies for correlated systems with large Hilbert spa...
We present an efficient approach to the electron correlation problem that is well suited for strongl...
The performance of several families of basis sets for correlated wave function calculations on molec...
The input of almost every machine learning algorithm targeting the properties of matter at the atomi...
Incorporation of electron correlation to improve the accuracy of computations remains a driving forc...
The accuracy and efficiency of molecular quantum chemical calculations depend critically on the basi...
We report a quantum Monte Carlo study, on a very simple but nevertheless very instructive model syst...
TurboRVB is a computational package for ab initio Quantum Monte Carlo (QMC) simulations of both mole...
We introduce a method for solving a self consistent electronic calculation within localized atomic o...
It is chemically intuitive that an optimal atom centered basis set must adapt to its atomic environm...
Optimization approaches using several global and local algorithms (genetic algorithms, direct search...
An efficient method for optimizing single-determinant wave functions of medium and large systems is ...
International audienceWe introduce an efficient method to construct optimal and system adaptive basi...
In this article, we propose general criteria to construct optimal atomic centered basis sets in quan...
In this work, we report potential energy surfaces (PESs) of the sodium dimer calculated by variation...
We describe a method for computing near-exact energies for correlated systems with large Hilbert spa...
We present an efficient approach to the electron correlation problem that is well suited for strongl...
The performance of several families of basis sets for correlated wave function calculations on molec...
The input of almost every machine learning algorithm targeting the properties of matter at the atomi...
Incorporation of electron correlation to improve the accuracy of computations remains a driving forc...
The accuracy and efficiency of molecular quantum chemical calculations depend critically on the basi...
We report a quantum Monte Carlo study, on a very simple but nevertheless very instructive model syst...
TurboRVB is a computational package for ab initio Quantum Monte Carlo (QMC) simulations of both mole...
We introduce a method for solving a self consistent electronic calculation within localized atomic o...
It is chemically intuitive that an optimal atom centered basis set must adapt to its atomic environm...
Optimization approaches using several global and local algorithms (genetic algorithms, direct search...
An efficient method for optimizing single-determinant wave functions of medium and large systems is ...