The Fiftieth Anniversary of the Founding of the ASME Journal of Engineering Materials and Technology
Bibliographic record
Abstract
As the Editor-in-Chief for the ASME Journal of Engineering Materials and Technology and on behalf of the global research communities, we are honored to celebrate the 50th Anniversary of the ASME Journal of Engineering Materials and Technology. The journal has been in existence since 1973, and it is associated with the Materials Division of ASME. The founding of the Journal coincided with the transition of the Metals Division to the Materials Division. The Journal is one of the oldest scientific and engineering journals that is focused on material science and mechanics of materials. We are indebted to the selfless service of all the previous editors, associate editors, and ASME staff, and especially, to the first Editor, Professor Ian Le May of the University of Saskatchewan.The Journal has been providing ground-breaking research on engineering materials and technology, for a broad spectrum of issues pertaining to experimental, computational, and analytical investigations of the behavior of materials with a mechanics of materials focus, at physical scales ranging from the nano to the macro for materials, such as metals, alloys, polymers, ceramics, composites, biomaterials, and nanostructured materials. The unique aspect of the journal is that it bridges the materials science and mechanics of materials communities, and that is what renders it an innovative platform for research to significantly improve existing materials and design new materials and systems.The distinguished history of scientific discovery and curiosity of the Journal is reflected by the top three cited articles. These articles are by A. Gurson in 1977, Continuum theory of ductile rupture by void nucleation and growth: Part I—Yield criteria and flow rules for porous ductile media, Jean Lemaitre in 1985, A continuous damage mechanics model for ductile fracture, and U.F. Kocks in 1976, Laws for work-hardening and low-temperature creep. These papers related to ductile fracture, damage mechanics, and creep defined and blazed new approaches and understanding of material behavior.The journal’s overarching aim is to continue to publish research of lasting significance in areas related to engineering materials, mechanics of materials, and materials technology. The scope is broad since it encompasses interdisciplinary research that spans fundamental knowledge, which is related to mechanics of materials, materials science, mathematics, and applied physics, and technological applications, which are related to engineering innovations and applications.Over the last ten years, since the start of my Editorship, the Impact Factor has increased by 179%. The Journal will, therefore, continue to further emphasize the multidisciplinary efforts needed to advance the field in areas related to materials development, experimental and computational analysis, and scientific and engineering innovation. Our aim, as an editorial board, in conjunction with the ASME publishing team, is to establish the journal as the leading international forum for original scientific research with balanced contributions that combine theoretical, experimental, and computational investigations. We, as a research community, collectively look forward to that challenge.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.059 | 0.044 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".