Work

Machine Learning for Identification of Quantum Effects in Dirac-Lorentz Electrodynamics

Year: 2024

Type: conference-paper

Source: IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE)

DOI: 10.1109/apace62360.2024.10877374

Author: Huber Nieto-Chaupis

Institution: Universidad Autónoma del Perú

Language: English

Topic: Quantum and Classical Electrodynamics

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4407628479

FWCI:

Cites: 21

Cited by:

Related to: 10