activity
20102023
most citedHyperon Puzzle: Hints from Quantum Monte Carlo Calculations

336 citations · 2.7k across the 73 of their papers we have counts for

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nucl-th2023★ 1 cited

One and Two-Body Current Contributions to Lepton-Nucleus Scattering

Alessandro Lovato, Noemi Rocco, Noah Steinberg

Modeling lepton-nucleus scattering with the accuracy required to extract neutrino-oscillation parameters from long- and short-baseline experiments necessitates retaining most quant…

nucl-th2023★ 2 cited

Distilling the essential elements of nuclear binding via neural-network quantum states

A. Gnech, B. Fore, A. Lovato

In pursuing the essential elements of nuclear binding, we compute ground-state properties of atomic nuclei with up to nucleons, using as input a leading order pionless effec…

nucl-th2023

Lepton-Nucleus Interactions within Microscopic Approaches

Alexis Nikolakopoulos, Noah Steinberg, Alessandro Lovato +1

This review paper emphasizes the significance of microscopic calculations with quantified theoretical error estimates in studying lepton-nucleus interactions and their implications…

nucl-th2023

Properties of Hot Nuclear Matter

Omar Benhar, Alessandro Lovato, Lucas Tonetto

A fully quantitative description of equilibrium and dynamical properties of hot nuclear matter will be needed for the interpretation of the available and forthcoming astrophysical…

nucl-th2023

Relativistic effects in Green's function Monte Carlo calculations of neutrino-nucleus scattering

Alexis Nikolakopoulos, Alessandro Lovato, Noemi Rocco

Microscopic calculations of neutrino-nucleus scattering cross sections are critical for the success of the neutrino-oscillation program. In addition to retaining nuclear correlatio…

nucl-th2023

Mitigating Green's function Monte Carlo signal-to-noise problems using contour deformations

Gurtej Kanwar, Alessandro Lovato, Noemi Rocco +1

The Green's function Monte Carlo (GFMC) method provides accurate solutions to the nuclear many-body problem and predicts properties of light nuclei starting from realistic two- and…