336 citations · 2.7k across the 73 of their papers we have counts for
5 papers · 1 filter
Machine learning-based inversion of nuclear responses
Krishnan Raghavan, Prasanna Balaprakash, Alessandro Lovato +2
A microscopic description of the interaction of atomic nuclei with external electroweak probes is required for elucidating aspects of short-range nuclear dynamics and for the corre…
A quantum Monte Carlo based approach to intranuclear cascades
Joshua Isaacson, William I. Jay, Alessandro Lovato +2
We propose a novel approach to intranuclear cascades which takes as input quantum MonteCarlo nuclear configurations and uses a semi-classical, impact-parameter based algorithm to m…
Variational Monte Carlo calculations of nuclei with an artificial neural-network correlator ansatz
Corey Adams, Giuseppe Carleo, Alessandro Lovato +1
The complexity of many-body quantum wave functions is a central aspect of several fields of physics and chemistry where non-perturbative interactions are prominent. Artificial neur…
Ab initio study of and inclusive scattering in C: confronting the MiniBooNE and T2K CCQE data
A. Lovato, J. Carlson, S. Gandolfi +2
We carry out an ab initio calculation of the neutrino flux-folded inclusive cross sections, measured on C by the MiniBooNE and T2K collaborations in the charged-current quas…
Atomic nuclei from quantum Monte Carlo calculations with chiral EFT interactions
Stefano Gandolfi, Diego Lonardoni, Alessandro Lovato +1
Quantum Monte Carlo methods are powerful numerical tools to accurately solve the Schrödinger equation for nuclear systems, a necessary step to describe the structure and reactions…