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Title: An intrinsically irreversible, neural-network-like approach to the Schrödinger equation and some results of application to drive nuclear synthesis research work

An analogy is drawn among the irreversible evolution of a neural-network-based A.I., an information field associated to spacetime configurations and the behaviour of entities described by the Schrödinger equation.
Authors:
 [1]
  1. Neural Calculus Lab, J. Von Neumann Foundation, v.Clelia 15, 00181 Rome, Italy Opensharelab, Open Power Association, v.Genzano 95, 00179 Rome (Italy)
Publication Date:
OSTI Identifier:
22391097
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1648; Journal Issue: 1; Conference: ICNAAM-2014: International Conference on Numerical Analysis and Applied Mathematics 2014, Rhodes (Greece), 22-28 Sep 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; CONFIGURATION; MATHEMATICAL EVOLUTION; MATHEMATICAL SOLUTIONS; NEURAL NETWORKS; SCHROEDINGER EQUATION; SPACE-TIME