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Feynman Diagrams as Models

The Mathematical Intelligencer, 2017
The author presents arguments for and against understanding Feynman diagrams as models, in light of recent characterizations of model-making by philosophers of science. Observing that physicists employ such diagrams both as a ``paper tool'' and a ``complex model'', he advances the view of Feynman diagrams as a device mediating between mathematics and ...
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Feynman diagrams without feynman parameters

Il Nuovo Cimento A, 1978
Dimensionally regularized Feynman diagrams are represented by means of products ofk-functions. The infinite part of these diagrams is found very easily, also if they are overlapping, and the separation of the several kinds of divergences comes out quite naturally. Ward identities are proven in a transparent way.
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Reduction of feynman diagrams

Il Nuovo Cimento A, 1965
Formulae expressing the amplitude for a Feynman diagram consisting of a single internal loop withn sides andn external lines as a sum of its reduced diagrams are derived by applying restrictions imposed by the finite dimensionality of space-time on the unparametrized amplitude.
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Xfey, a Feynman diagram editor

Computer Physics Communications, 1998
A graphical program, suitable for Feynman diagram drawings, is presented. It is mouse driven and easy to use. It is intended for those physicists who think they spend too much time drawing Feynman diagrams and want a tool to speed up the process.
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Brain Feynman Diagrams

1998
The author’s tentative assumption is that we may approach the task of understanding brain function and predicting responses by using a large number of indicators.
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The Number of Feynman Diagrams

Physical Review, 1953
The Feynman-Dyson formulation of a perturbation expansion for quantum field theory allows one to give a general combinatorial treatment to the Feynman diagrams involved. A very simple analysis for the total number of such diagrams, $T(n, \ensuremath{\epsilon}, \ensuremath{\rho})$, in quantum electrodynamics, leads to: $T(n, \ensuremath{\epsilon ...
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Feynman diagrams

2006
Carlo M. Becchi, Giovanni Ridolfi
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AI Feynman: A physics-inspired method for symbolic regression

Science Advances, 2020
Silviu-Marian Udrescu, Max Erik Tegmark
exaly  

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