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Record W4414534743 · doi:10.1021/acsmacrolett.5c00626

PMSE Centennial: Celebration of Success and New Frontiers in Polymer Materials Science and Engineering

2025· article· en· W4414534743 on OpenAlex
Melissa A. Grunlan, LaShanda T. J. Korley, Qinghuang Lin, Christopher L. Soles, Rigoberto C. Advíncula, Arthi Jayaraman, Elizabeth Cosgriff‐Hernandez, Elsa Reichmanis, Jodie L. Lutkenhaus, Rodney D. Priestley, Brigitte Voit, Thomas H. Epps

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueACS Macro Letters · 2025
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsnot available
FundersOak Ridge National LaboratoryUniversity of California, Los AngelesLeibniz-Institut für Polymerforschung DresdenTechnische Universität DresdenUniversity of PennsylvaniaUniversity of AkronUniversity of TorontoUniversity of RochesterLawrence Berkeley National LaboratoryNorthwestern UniversityUniversity of Notre DameMassachusetts Institute of TechnologyYork UniversityLeibniz-GemeinschaftLehigh UniversityPrinceton UniversityUniversity of Southern Mississippi
KeywordsCentennialScience and engineeringNational laboratorySpring (device)Scientific discovery

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide In 2024, the American Chemical Society (ACS), Division of Polymeric Materials: Science and Engineering (PMSE), celebrated its centennial. This historic occasion was marked at the 2024 Spring ACS Meeting in New Orleans with a Centennial Symposium entitled “ PMSE Centennial: Celebration of Success and New Frontiers in Polymeric Materials Science and Engineering ”. The symposium reflected on past scientific breakthroughs, technological advancements, and new frontiers in the field of polymeric materials science and engineering. Eight thematic areas comprised the symposium: Advanced Manufacturing, AI and Materials Discovery, Biomaterials, Electronic Materials, Energy, Entrepreneurship, Smart Materials, and Sustainability . The 31 distinguished speakers, representing academia, industry, and national laboratories, shared their unique perspectives. Within this Viewpoint, distinguished speakers have expanded on the symposium’s themes, summarizing key takeaways, identifying critical challenges, and exploring opportunities for continued advancements in polymer science.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.404

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 communication0.0000.000
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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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