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We present a systematic approach to thermodynamical identities and illustrate the power of these methods by displaying Mathematica notebooks to deal with a large variety of such identities. In concrete examples these can involve rather…

Mathematical Physics · Physics 2011-12-25 J. B. Cooper

The greatest difficulty that is encountered by students in Thermodynamics classes is to find relationships between variables and solve a total differential equation that relates one thermodynamic state variable to two mutually-independent…

Physics Education · Physics 2012-05-03 Chih-Yueh Wang , Jin-Han Hou

We present Decapodes, a diagrammatic tool for representing, composing, and solving partial differential equations. Decapodes provides an intuitive diagrammatic representation of the relationships between variables in a system of equations,…

Numerical Analysis · Mathematics 2024-02-01 Luke Morris , Andrew Baas , Jesus Arias , Maia Gatlin , Evan Patterson , James P. Fairbanks

We introduce an algorithmic model of heat conduction, the thermodynamic graph. The thermodynamic graph is analogous to meshes in the finite difference method in the sense that the calculation of temperature is carried out at the vertices of…

Computational Engineering, Finance, and Science · Computer Science 2018-02-02 O. Kurganskyy , A. J. Maksimova

The purpose of this paper is fourfold. The first is to develop the theory of tropical differential algebraic geometry from scratch; the second is to present the tropical fundamental theorem for differential algebraic geometry, and show how…

Algebraic Geometry · Mathematics 2021-11-16 Ethan Cotterill , Cristhian Garay , Johana Luviano

We explore an identity between two branching graphs and propose a physical meaning in the context of the gauge-gravity correspondence. From the mathematical point of view, the identity equates probabilities associated with $\mathbb{GT}$,…

High Energy Physics - Theory · Physics 2023-02-16 Pablo Diaz , Hai Lin , Alvaro Veliz-Osorio

The simulation of the physical movement of multi-body systems at an atomistic level, with forces calculated from a quantum mechanical description of the electrons, motivates a graph partitioning problem studied in this article. Several…

We present a method that employs physics-informed deep learning techniques for parametrically solving partial differential equations. The focus is on the steady-state heat equations within heterogeneous solids exhibiting significant phase…

Machine Learning · Computer Science 2024-01-05 Shahed Rezaei , Ahmad Moeineddin , Michael Kaliske , Markus Apel

Symbolic dynamics is a coarse-grained description of dynamics. By taking into account the ``geometry'' of the dynamics, it can be cast into a powerful tool for practitioners in nonlinear science. Detailed symbolic dynamics can be developed…

chao-dyn · Physics 2007-05-23 Bai-lin Hao

Thermodynamics of trajectories promises to make possible the thorough analysis of the dynamical properties of an open quantum system, a sought-after goal in modern physics. Unfortunately, calculation of the relevant quantities presents…

Quantum Physics · Physics 2016-06-14 Simon Pigeon , André Xuereb

Dynamical processes can be transformed into graphs through a family of mappings called visibility algorithms, enabling the possibility of (i) making empirical data analysis and signal processing and (ii) characterising classes of dynamical…

Chaotic Dynamics · Physics 2015-06-18 Lucas Lacasa

Studies in thermodynamics often require the reduction of some first or second order partial derivatives in terms of a smaller basic set. A simple algorithm to perform such a reduction is presented here, together with a review of earlier…

Computational Physics · Physics 2014-02-11 Jacques H. H. Perk

We introduce an axiomatic theory of spherical diagrams as a tool to study certain combinatorial properties of polyhedra in $\mathbb R^3$, which are of central interest in the context of Art Gallery problems for polyhedra and other…

Combinatorics · Mathematics 2023-05-31 Giovanni Viglietta

Partial derivatives are used in a variety of different ways within physics. Most notably, thermodynamics uses partial derivatives in ways that students often find confusing. As part of a collaboration with mathematics faculty, we are at the…

Physics Education · Physics 2015-10-28 David Roundy , Allison Dorko , Tevian Dray , Corinne A. Manogue , Eric Weber

Active learning enhances the performance of machine learning methods, particularly in semi-supervised cases, by judiciously selecting a limited number of unlabeled data points for labeling, with the goal of improving the performance of an…

Machine Learning · Computer Science 2025-04-17 Gokul Bhusal , Kevin Miller , Ekaterina Merkurjev

In this paper, we use quadratic forms diagonalization methods applied to the function thermodynamic energy to analyze the stability of physical systems. Taylor's expansion was useful to write a quadratic expression for the energy function.…

Statistical Mechanics · Physics 2020-04-14 F. N. Lima , J. M. De Sousa

Drawing appropriate diagrams is a useful problem solving heuristic that can transform a problem into a representation that is easier to exploit for solving the problem. A major focus while helping introductory physics students learn problem…

Physics Education · Physics 2016-01-19 Alexandru Maries , Chandralekha Singh

Using group theoretic and topological concepts, together with tunneling phenomena, we geometrically design interfacial wave networks that contain splitters which partition energy in 2, 3, 4 or 5 directions. This enriches the valleytronics…

Mesoscale and Nanoscale Physics · Physics 2018-12-19 Mehul Makwana , Richard Craster

Bifurcation diagram is a powerful tool that visually gives information about the behavior of the equilibrium points of a dynamical system respect to the varying parameter. This paper proposes an educational algorithm by which the local…

Dynamical Systems · Mathematics 2021-05-25 Shahram Aghaei , Abolghasem Daeichian

Vector algebra is a powerful and needful tool for Physics but unfortunately, due to lack of mathematical skills, it becomes misleading for first undergraduate courses of science and engineering studies. Standard vector identities are…

General Physics · Physics 2009-04-14 Miguel Angel Rodriguez-Valverde , Maria Tirado-Miranda
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