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- W4366388422 abstract "In this letter, we embark on an exploration of the profound nature of the strong coupling constant on a global-energy scale. Through the meticulous analysis of accumulated experimental data from around the world, we employ the remarkable power of machine learning to unravel its secrets. Our endeavor has yielded an unprecedented outcome a formula that elegantly captures the expansive panorama of the strong coupling constant's distribution. Astonishingly, this newly derived expression bears a striking resemblance to the theoretical framework of Yang-Mills theory. Furthermore, our thorough analysis has brought forth a remarkable revelation. By introducing the venerable Euler's number, $e$, into the functional formula of the strong coupling constant at high energies, we have successfully surmounted the conundrum of infrared divergence. This ingenious addition allows for the seamless transition of the strong coupling constant from the realm of perturbative energies to that of non-perturbative energies. The profound implications of this finding cannot be overstated, as it paves the way for a natural understanding of the dynamics governing the strong coupling constant in a comprehensive energy spectrum. The results presented within this letter shed light on the enigmatic properties of quantum chromodynamics and the intricate interplay of strong coupling constants across both low and high energy scales." @default.
- W4366388422 created "2023-04-21" @default.
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- W4366388422 date "2023-04-15" @default.
- W4366388422 modified "2023-09-28" @default.
- W4366388422 title "Machine learning the governing principle of strong coupling constant across the global energy scale" @default.
- W4366388422 doi "https://doi.org/10.48550/arxiv.2304.07682" @default.
- W4366388422 hasPublicationYear "2023" @default.
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