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Maxwell's Equation Of Electromagnetism

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James Clerk Maxwell (1831–1879) was one of the major contributors to physics in the nineteenth century. Although he died young, he made major contributions to the development of the kinetic theory of gases, to the understanding of color vision, and to understanding the nature of Saturn's rings. He is probably best known for having combined existing knowledge on the laws of electricity and magnetism with his insights into a complete overarching electromagnetic theory, which is...

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Updated: Nov 20, 2025

A Tactile Automated Passive-Finger Stimulator TAPS

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

Predictive Maxwell's demons.

Nathaniel Rupprecht¹, Dervis Can Vural¹

¹University of Notre Dame, South Bend, Indiana 46556, USA.

Physical Review. E

|January 20, 2021

Summary

This summary is machine-generated.

Predictive Maxwell

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Area of Science:

Thermodynamics and Statistical Mechanics
Information Theory
Non-equilibrium Physics

Background:

Maxwell's demon is a thought experiment exploring the relationship between information and thermodynamics.
Traditional models often assume an idealized demon with instantaneous response and infinite foresight.
Real-world systems involve finite-size and finite-response-time limitations.

Purpose of the Study:

To investigate the operational efficiency of a predictive Maxwell's demon with finite size and response time.
To compare the performance of predictive demons against nonpredictive ones in terms of heat and mass transport.
To analyze the impact of response time, predictive capability ('future sight'), and gas density on demon performance.

Main Methods:

Theoretical modeling of a finite-size, finite-response-time Maxwell's demon.
Comparative analysis of transport rates between predictive and nonpredictive demon operations.
Parametric study exploring the influence of demon characteristics and environmental conditions.

Main Results:

Predictive Maxwell's demons demonstrate superior mass and heat transport rates compared to nonpredictive counterparts.
Enhanced transport rates are sustained over extended operational periods.
Demon performance is quantitatively linked to response time, degree of future sight, and ambient gas density.

Conclusions:

Finite-size, finite-response-time predictive Maxwell's demons offer enhanced thermodynamic efficiency.
Information processing and prediction capabilities are crucial for optimizing non-equilibrium transport processes.
The study provides insights into the practical implementation and performance limits of intelligent agents in thermodynamic systems.