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Shu-Kun Lin

4 papers hereh-index 203k citations238 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2
  • physics.data-an1
  • physics.gen-ph1
same name
  • Shu-Kun Lin — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19992008
most citedGibbs Paradox and the Concepts of Information, Symmetry, Similarity and Their Relationship

18 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

physics.gen-ph2008★ 3 cited

Gibbs Paradox and Similarity Principle

Shu-Kun Lin

As no heat effect and mechanical work are observed, we have a simple experimental resolution of the Gibbs paradox: both the thermodynamic entropy of mixing and the Gibbs free energ…

physics.chem-ph2008★ 18 cited

Gibbs Paradox and the Concepts of Information, Symmetry, Similarity and Their Relationship

Shu-Kun Lin

Information (I) is defined as the amount of the data after data compression. The first law of information theory: the total amount of data L (the sum of entropy S and information I…

physics.chem-ph2001

The Nature of the Chemical Process. 1. Symmetry Evolution - Revised Information Theory, Similarity Principle and Ugly Symmetry

Shu-Kun Lin

Three laws of information theory have been proposed. Labeling by introducing nonsymmetry and formatting by introducing symmetry are defined. The function L (L=lnw, w is the number…

physics.data-an1999

Diversity Assessment Based on a Higher Similarity-Higher Entropy Relation after Rejection of Gibbs Paradox

Shu-Kun Lin

The diversity of the symbols of the information source is calculated following the definition that entropy is the information loss and following a new entropy-symbol similarity rel…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.