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Thermodynamics Since Einstein

2013· article· en· W1535182022 on OpenAlexvenueno aff
Chih‐Yueh Wang

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsEinsteinPhysicsObserver (physics)Theory of relativityPlanckTheoretical physicsNon-equilibrium thermodynamicsSpecial relativityClassical mechanicsLimitingThermodynamicsStatistical physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Relativistic thermodynamics is a relatively unknown theory. Thermodynamic laws apply only to quasi-static processes that quickly change between states that are in a long-term equilibrium. However, special relativity postulates that the propagation speed of physical signals is constrained, thus limiting the speed of change in thermal states. Einstein was especially interested in the concept of temperature and the transformation formula of thermodynamic quantities in a moving frame of reference, having inspired numerous investigations for two centuries. This article reviews the historical development of relativistic thermodynamics since Einstein, beginning from the initial idea of Planck-Einstein in which a moving body warms up, to the notion of Blanusa-Ott in which a moving body cools down, and to that of Landsberg in which the temperature remains unchanged—depending on how the observer’s thermometer is defined. Current research focuses on identifying the correct form of relativistic Maxwell distribution to validate the related theory. Recent computational results using molecular dynamic simulations and their relevance to astrophysics are outlined as well.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0020.005
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.281
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2013
Admission routes1
Has abstractyes

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