Authors: Brian Strom
With the help of Artificial Intelligence (AI) and Deep Learning, the structure of the atom is computed from the results of established experiments on ionization energies and spectral emissions. The AI searches for trends and patterns in the ionization energy levels - when electrons are energized to escape from an atom. The AI first observes that the “depth” of the atomic Potential Energy Well is directly proportional to the number of protons in the nucleus, but is not dependent on the number of neutrons. The AI computes the energy levels for a “multi-layered ball” of electrons in a Potential Energy Well, and compares them to the ionization energy levels and electron depths. It identifies close similarities and proposes that electrons simply fill the three-dimensional atomic Potential Energy Well around the nucleus - loosely-packed for the lighter elements, and more tightly-packed for the heavier elements. The AI concludes that electrons are much larger than we presently imagine.
Comments: minor corrections. 15 pages. Title corrected on viXra.
Unique-IP document downloads: 96 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.