An intrinsically irreversible, neural-network-like approach to the Schrödinger equation and some results of application to drive nuclear synthesis research work
Journal Article
·
· AIP Conference Proceedings
- Neural Calculus Lab, J. Von Neumann Foundation, v.Clelia 15, 00181 Rome, Italy Opensharelab, Open Power Association, v.Genzano 95, 00179 Rome (Italy)
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.
- OSTI ID:
- 22391097
- Journal Information:
- AIP Conference Proceedings, Vol. 1648, 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); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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