Abstract
A vast concourse of events and phenomena occur in nature that may be interrelated by a entropy-maximization technique that provides a comprehensible explanation of a range of physical problems, integrating in a new framework the universal tendency of energy to a minimum and entropy to a maximum. The outcome is a modification of Newton’s dynamical equation of motion, grounding the principles of mechanics on the concepts of energy and entropy, instead on the usual definition of force, integrating into a consistent framework the description of translation and vortical motion. The new method offers a fresh approach to traditional problems and can be applied with advantage in the solution of variational problems.
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Acknowledgements
The author gratefully acknowledge partial financial support by the International Space Science Institute (ISSI) in Bern, Switzerland, as visiting scientist, and express special thanks to Professor Roger-Maurice Bonnet, Dr. Edouard Mendès Pereira, Prof. Rafael Rodrigo, Dr. Maurizio Falanga, and Dr. Rui Ribeiro, for their friendship and support. We acknowledge kind permission to Springer Nature Group and Elsevier, to publish part of the material shown authored by myself and made public via Open Access.
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Pinheiro, M.J. (2022). Ergontropic Dynamics: Contribution for an Extended Particle Dynamics. In: Bandyopadhyay, A., Ray, K. (eds) Rhythmic Advantages in Big Data and Machine Learning . Studies in Rhythm Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-5723-8_3
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