26 citations · 29 across the 4 of their papers we have counts for
5 papers
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Adam Foster, Zeno Schätzle, P. Bernát Szabó +7
Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireference character of the electronic structure in dissociating species. Multi…
Partitioning the electronic wave function using deep variational Monte Carlo
Matěj Mezera, Paolo A. Erdman, Zeno Schätzle +2
We propose a novel wave function partitioning method that integrates deep-learning variational Monte Carlo with ansätze based on generalized product functions. This approach effect…
Deep quantum Monte Carlo approach for polaritonic chemistry
Yifan Tang, Gian Marcello Andolina, Alica Cuzzocrea +5
Recent years have witnessed a surge of experimental and theoretical interest in controlling the properties of matter, such as its chemical reactivity, by confining it in optical ca…
Ab-initio simulation of excited-state potential energy surfaces with transferable deep quantum Monte Carlo
Zeno Schätzle, P. Bernát Szabó, Alice Cuzzocrea +2
The accurate quantum chemical calculation of excited states is a challenging task, often requiring computationally demanding methods. When entire ground and excited potential energ…
DeepQMC: an open-source software suite for variational optimization of deep-learning molecular wave functions
Zeno Schätzle, Bernát Szabó, Matĕj Mezera +2
Computing accurate yet efficient approximations to the solutions of the electronic Schrödinger equation has been a paramount challenge of computational chemistry for decades. Quant…