thermodynamics and statistical mechanics
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10.1142/12684 ◽  
2022 ◽  
Author(s):  
Swee Cheng Lim ◽  
Choy Heng Lai ◽  
Leong Chuan Kwek


2021 ◽  
Vol 51 (5) ◽  
Author(s):  
David A. Lavis ◽  
Reimer Kühn ◽  
Roman Frigg

AbstractThis paper presents an in-depth analysis of the anatomy of both thermodynamics and statistical mechanics, together with the relationships between their constituent parts. Based on this analysis, using the renormalization group and finite-size scaling, we give a definition of a large but finite system and argue that phase transitions are represented correctly, as incipient singularities in such systems. We describe the role of the thermodynamic limit. And we explore the implications of this picture of critical phenomena for the questions of reduction and emergence.



2021 ◽  
pp. 2150294
Author(s):  
Kuan-Meng Zhang ◽  
Yi-Xin Chen

In quantum information and quantum computation, a bipartite system provides a basic few-body framework for investigating significant properties of thermodynamics and statistical mechanics. A Hamiltonian model for a bipartite system is introduced to analyze the important role of interaction between bipartite subsystems in quantum non-equilibrium thermodynamics. We illustrate discrimination between such quantum thermodynamics and classical few-body non-equilibrium thermodynamics. By proposing a detailed balance condition of the bipartite system, we generally investigate the properties of the entropy and heat of our model, as well as the relation between them.



Author(s):  
Wayne C. Myrvold

Probability concepts permeate physics. This is obvious in statistical mechanics, in which probabilities appear explicitly. But even in cases when predictions are made with near-certainty, there is are implicit probabilistic assumptions in play, as it is assumed that molecular fluctuations can be neglected. How are we to understand these probabilistic concepts? This book offers a fresh look at these familiar topics, urging readers to see them in a new light. It argues that the traditional choices between probabilities as objective chances or degrees of belief is too limiting, and introduces a new concept, called epistemic chances, that combines physical and epistemic considerations. Thinking of probabilities in this way solves some of the puzzles associated with the use of probability and statistical mechanics. The book includes some history of discussions of probability, from the eighteenth to the twentieth century, and introductions to conceptual issues in thermodynamics and statistical mechanics. It should be of interest to philosophers interested in probability, and to physicists and philosophers of physics interested in understanding how probabilistic concepts apply to the physical world.





AIChE Journal ◽  
2020 ◽  
Vol 66 (12) ◽  
Author(s):  
Kara D. Fong ◽  
Helen K. Bergstrom ◽  
Bryan D. McCloskey ◽  
Kranthi K. Mandadapu




2020 ◽  
Vol 7 ◽  
Author(s):  
System Administrator ◽  
Jurgen Schulte

PAM Review is the peer-reviewed student research journal produced in the School of Mathematical and Physical Sciences at the University of Technology Sydney. The journal was created to provide a student-centered authentic learning experience in a theory heavy course to help facilitating Faculty of Science graduate attributes and the University’s model of teaching. The student journal was first introduced in 2014 in the second-year physics course Energy Science and Technology. The course covers fundamentals of thermodynamics and statistical mechanics and their applications in current and emerging technologies.



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