[Theory-seminars] Cake Seminar Today - Alex Gnech (L102)

[Gloria Montana-Faiget]

Dear all,

Today at 1pm EST, we will have a cake seminar given by Alex Gnech of ODU in CC L102 and on the following Zoom link:

https://jlab-org.zoomgov.com/j/1619211940?pwd=Sk0WFJqWsKqjWsZhcFao7VjNHdzIxf.1
Join our Cloud HD Video Meeting<https://jlab-org.zoomgov.com/j/1619211940?pwd=Sk0WFJqWsKqjWsZhcFao7VjNHdzIxf.1>
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Attendance in person is highly encouraged. Please see below for the title and abstract.

Cake Seminar: Wednesday, November 13th, 2024 at 1pm EST

Speaker: Alex Gnech (ODU)

Title: Studying nuclear structure via neural-network quantum states

Abstract: Neural-networks and machine learning techniques are nowadays explored to approach long standing problems that belongs to low-energy nuclear physics in innovative ways. In this Cake Seminar we will present the application of neural-networks to solve the nuclear many-body problem. We will introduce a variational Monte Carlo method based on a new, highly-expressive, neural-network quantum state ansatz that permits to solve the many-body schrödinger equation in a systematical and improvable way. In particular we will focus on the computation of ground-state properties of atomic nuclei with up to A= 20 nucleons, using as input a leading order pionless effective field theory Hamiltonian. Finally we will present the first calculation of electromagnetic properties as well as electroweak transitions computed using the neural-network quantum state wave functions.

We look forward to seeing you there!

Best regards,
Joe, Zheng-Yang & Gloria

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