Alessandro Lovato

Istituto Nazionale di Fisica Nucleare

Italy

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Articles (24)

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Collaborators (14)

Daniel Phillips

Professor

Ohio State University

UNITED STATES

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Joanna Sobczyk

Assistant Professor

Chalmers tekniska högskola

SWEDEN

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Gianluca Colò

Professor

Università degli Studi di Torino

ITALY

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Giuseppe Carleo

Associate Professor

École Polytechnique Fédérale de Lausanne

SWITZERLAND

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Ragnar Stroberg

Assistant Professor

University of Notre Dame

UNITED STATES

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Ulrich Heinz

Distinguished University Professor

Ohio State University

UNITED STATES

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Xavier Roca-Maza

Associate Professor

Università degli Studi di Milano-Bicocca Dipartimento di Fisica Giuseppe Occhialini

ITALY

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Saori Pastore

Washington University in St. Louis

UNITED STATES

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Javier Menéndez

Ramón y Cajal Fellow (Assistant Professor)

University of Barcelona

SPAIN

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Morten Hjorth-Jensen

Professor of Physics

Michigan State University

UNITED STATES

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Alex Gnech

Assistant Professor

Old Dominion University

UNITED STATES

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Richard Furnstahl

Professor

Ohio State University

UNITED STATES

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Heiko Hergert

Associate Professor of Physics

Michigan State University

UNITED STATES

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Stefan M. Wild

Northwestern University

UNITED STATES

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Alessandro Lovato

Research Interests

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Articles (24)

Investigating the crust of neutron stars with neural-network quantum states

Static and dynamic properties of atomic nuclei with high-resolution potentials

Uncertainty-quantification-enabled inversion of nuclear responses

Message-passing neural quantum states for the homogeneous electron gas

Neural-network quantum states for ultra-cold Fermi gases

High-resolution momentum distributions from low-resolution wave functions

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

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

Modeling inclusive electron-nucleus scattering with Bayesian artificial neural networks

Relativistic corrections to the correlated basis function effective nuclear Hamiltonian

Distilling the Essential Elements of Nuclear Binding via Neural-Network Quantum States

Dilute neutron star matter from neural-network quantum states

Solving the nuclear pairing model with neural network quantum states

Introducing a novel event generator for electron-nucleus and neutrino-nucleus scattering

Lepton–Nucleus Interactions within Microscopic Approaches

Properties of Hot Nuclear Matter

Efficient solutions of fermionic systems using artificial neural networks

Hidden-nucleons neural-network quantum states for the nuclear many-body problem

Neutrinoless double- β decay: Combining quantum Monte Carlo and the nuclear shell model with the generalized contact formalism

Benchmark calculations of infinite neutron matter with realistic two- and three-nucleon potentials

Neural-network quantum states for periodic systems in continuous space

Nuclei with Up to $$\varvec{A=6}$$ Nucleons with Artificial Neural Network Wave Functions

Towards precise and accurate calculations of neutrinoless double-beta decay

Nuclear energy density functionals grounded in ab initio calculations

Collaborators (14)

Daniel Phillips

Joanna Sobczyk

Gianluca Colò

Giuseppe Carleo

Ragnar Stroberg

Ulrich Heinz

Xavier Roca-Maza

Saori Pastore

Javier Menéndez

Morten Hjorth-Jensen

Alex Gnech

Richard Furnstahl

Heiko Hergert

Stefan M. Wild

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