activity
20182026
most citedExact restoration of Galilei invariance in density functional calculations with quantum Monte Carlo

10 citations · 10 across the 7 of their papers we have counts for

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nucl-th2026

Nuclear binding, correlations, and the -dependence of the EMC effect

Omar Benhar, Alessandro Lovato

The measurements of inclusive electron scattering from nuclear targets carried out at the Thomas Jefferson National Accelerator Facility in the mid 2000s have provided valuable nov…

nucl-th2025

Nuclear collectivity and the harmonic spectrum of two-body correlations

Jean-Paul Blaizot, Giuliano Giacalone, Alessandro Lovato

High-energy nuclear collisions have opened a new experimental method to reveal collective behavior in nuclear ground states through the lens of many-body correlations of nucleons.…

nucl-th2025

Hypernuclei with Neural Network Quantum States

Andrea Di Donna, Lorenzo Contessi, Alessandro Lovato +1

Leveraging complementary machine-learning-based approaches, we compute properties of - and -shell hypernuclei - including binding energies, single-particle densities, and…

nucl-th2025

A renormalizable theory for not-so-light nuclei

L. Contessi, M. Schäfer, A. Gnech +2

We present an improved action for Pionless Effective Field Theory (EFT). Previous formulations of renormalizable nuclear EFTs have encountered instabilities in systems with more th…

nucl-th2024

Restricted Boltzmann Machines Propagators for Auxiliary Field Diffusion Monte Carlo

Jordan M. R. Fox, Alessandro Lovato, Alessandro Roggero +1

The auxiliary field diffusion Monte Carlo method uses imaginary-time projection techniques to accurately solve the ground-state wave function of atomic nuclei and infinite nuclear…

nucl-th2018★ 10 cited

Exact restoration of Galilei invariance in density functional calculations with quantum Monte Carlo

P. Massella, F. Barranco, D. Lonardoni +3

Galilean invariance is usually violated in self-consistent mean-field calculations that employ effective density-dependent nuclear forces. We present a novel approach, based on var…