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18th APS-SCCM and 24th AIRAPT

2014· article· en· W2006098558 on OpenAlexaboutno aff
Gilbert Collins, David S. Moore, Choong‐Shik Yoo, W. T. Buttler, Michael R. Furlanetto, William Evans

Bibliographic record

VenueJournal of Physics Conference Series · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceMultidisciplinary approachMetropolitan areaChinese academy of sciencesEngineering physicsEngineeringComputer scienceHistorySociologySocial scienceArchaeologyChina

Abstract

fetched live from OpenAlex

The 18th Biennial International Conference of the APS Topical Group on Shock Compression of Condensed Matter in conjunction with the 24th Biennial International Conference of the International Association for the Advancement of High Pressure Science & Technology (AIRAPT) was held at the Westin Hotel in Seattle, Washington from 7–12 July, 2013. This is only the second time that these two organizations have held a Joint Conference — the first was 20 years previous (1993) in Colorado Springs, Colorado. Seattle was chosen for this joint conference because of its central location for the world-wide attendees as well as its metropolitan vibrancy. The scientific program consisted of 858 scheduled presentations organized into 23 topical areas and included contributed (537), invited (95), and plenary (6) lectures, as well as two poster sessions with 110 posters each. The scientific focus of the Joint Conference was on fundamental and applied research topics related to the static or dynamic compression of condensed matter. This multidisciplinary field of research encompasses areas of physics, chemistry, materials science, mechanics, geophysics and planetary physics, and applied mathematics. Experimental, computational and theoretical studies all play important roles. The organizers endeavored to intertwine static and dynamic experimental alongside computational and theoretical studies of similar materials in the organization of the sessions. This goal was aided by the addition of three special focus sessions on deep carbon budget, high energy density materials, and dynamic response of materials. 722 scientists and engineers from 25 countries registered at the conference, including 132 students from 12 countries. The attendee countries represented included: Argentina (2), Australia (2), Brazil (3), Canada (25), China (22), Czech Republic (2), France (35), Germany (19), India (6), Israel (21), Italy (10), Japan (49), Netherlands (1), Poland (1), Portugal (2), Russia (26), Singapore (1), Slovakia (1), South Korea (5), Spain (7), Sweden (4), Switzerland (1), United Kingdom (69), United States of America (402). 79 of the students were supported by travel awards, funded in part by the APS Topical Group, the AIRAPT, and other sources. New for this conference was an expanded Student Program, including an all-day Student, Post-Doc, and Early Career Symposium held on Sunday 7 July . During the Conference, Gennady Kanel of the Institute for High Temperatures, Russian Academy of Sciences, was presented the 2013 George E Duval Shock Compression Science Award, and gave a plenary lecture ''Unusual behavior of usual materials in shock waves.'' Similarly, Karl Syassen of the Max Planck Institute Stuttgart received the 2013 Percy Bridgman Award at the conference, and presented a plenary lecture ''Stressed solids probed by diffraction and spectroscopy.'' In addition, there were two young investigator awards presented. First was the AIRAPT Jamieson Award, presented to Duck Young Kim of the Geophysical Laboratory, Carnegie Institution of Washington, DC. The other was a new APS SCCM Topical Group Student Award, presented to Rick Kraus of Harvard University. The two awardees shared a plenary talk slot on 8 July, with Duck Young Kim presenting ''Novel materials prediction and experimental synthesis under pressure'' and Rick Kraus ''Thermodynamic paths in planetary collisions: Shock vaporization of SiO2, MgO, and Fe.'' Details of the committees are available in the PDF

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.196
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations9
Published2014
Admission routes1
Has abstractyes

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