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Record W4236722568 · doi:10.1115/1.3072954

Special Issue on Micro/Nanoscale Heat Transfer—Part II

2009· article· en· W4236722568 on OpenAlexaff
Ping Cheng, Steve H. Choi, Yogesh Jaluria, Dongqing Li, Pamela M. Norris, “Robert” D. Y. Tzou

Bibliographic record

VenueJournal of Heat Transfer · 2009
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHeat transferMicroscale chemistryNanotechnologyEnhanced heat transferNanofluidicsMechanical engineeringNanoscopic scaleMaterials scienceEngineering physicsEngineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Research and education on micro/nanoscale heat transfer have advanced rapidly over the last decade through many dedicated individuals and teams, with direct impact now extending into other fields in both science and engineering. Continuing the synergistic efforts in 2002 and 2007,1 ASME Micro/Nanoscale Heat Transfer International Conference (MNHT08) was held in National Cheng Kung University, Tainan, Taiwan, during January 6–9, 2008: http://www.asmeconferences.org/MNHT08/index.cfm. The conference is dedicated to Dr. Chang-Lin Tien (1935–2002), a world renowned scholar and a leader in higher education, whose intellect and unique visions have continued to inspire our most serious efforts in expanding the frontiers of micro/nanoscale heat transfer. We continue the selected papers from MNHT08 in this issue of the ASME Journal of Heat Transfer. Part I appeared in the March 2009 issue.MNHT08 is composed of 18 technical tracks, with 5 keynote lecturers and over 300 participants from 18 countries. The 257 technical papers cover the full spectrum from microscopic thermophysical processes and properties, microfluidics and nanofluidics, heat transfer in small scale, ultrafast heat transport, interfacial heat transfer, nanofluids, microchannels, micro/nanoscale experimental heat transfer, micro/miniature two-phase systems, thermophysical and mechanical properties, ultrafast coupling in small scales, nano-systems and engineering, nano/microscale thermal radiation, computational micro/nanoscale heat and mass transfer, to micro/nanoscale heat and mass transfer in bio/medical systems. The papers included in this issue are representatives selected from these areas of research. There are a few papers in this issue that are review in nature, for the purpose of capturing the progress being made in a field as well as for presenting new challenges for the future. There are also research papers reporting innovative approaches and new findings, aiming toward advancing the state-of-the-art development in micro/nanoscale heat and mass transfer. Two salient features combined, we hope this issue will not only serve the community well, but also provide a valuable collection for inspiring new researchers to join this fascinating area of research.Researchers in micro/nanoscale heat and mass transfer have enjoyed strong growth of the field over the past decade. Many sophisticated physical phenomena in small scales have been unveiled by dedicated individuals and research teams. The rapid evolution and continued explorations into even finer scales of space and time, however, may often generate more profound physics to be better understood. This is particularly the case when the thermal field is coupling with other fields in transporting mass, energy, momentum, and charges in micro/nanoscale. Combined approaches that integrate over analytical, experimental, and numerical phases have now become more important than ever in unveiling the interweaving physical phenomena in smaller scale. It is important to continue our endeavors in generating in-depth scientific understanding and enabling commercial technology for advancing micro/nanodevices, but it may be equally important to “wrap up” our knowledge by reviewing what we have tried to establish from time to time. This focus will remain as the ASME Micro/Nanoscale Heat Transfer International Conference continues into the future.Special thanks are extended to the reviewers, the Editorial Assistant Shefali Patel, and publishing staff for the ASME Journal of Heat Transfer, who have made this special issue on Micro/Nanoscale Heat Transfer a reality. Enthusiastic supports from National Cheng Kung University, Chinese Society of Mechanical Engineers, and Industrial Technology and Research Institute (ITRI) in Taiwan are greatly appreciated. We wish to thank the Air Force Office of Scientific Research, Asian Office of Aerospace Research and Development (AOARD), and the Office of Naval Research Global (ONRG) for their contributions to the success of this conference.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.213
Teacher spread0.203 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations2
Published2009
Admission routes1
Has abstractyes

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