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Record W7113935445

Advanced materials and manufacturing research for energy, healthcare and nuclear technologies

2025· other· en· W7113935445 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueInsight (University of Cumbria) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)SustainabilityWorkforcePortfolioWork (physics)Hydrogen technologiesHealth careFlexibility (engineering)Advanced manufacturing
DOInot available

Abstract

fetched live from OpenAlex

Presentation given by Dr. Ashwath Pazhani, PhD, Assistant Professor (Lecturer) in Mechanical Engineering, University of Cumbria, UK. This presentation highlights the University of Cumbria’s growing leadership in sustainable materials and advanced manufacturing for the hydrogen economy, energy transition, and emerging low-carbon industries. It introduces the research portfolio of the Group for Innovation in Hydrogen Research and Sustainability (iHRS), focusing on the development of fully recyclable graphene-reinforced metal matrix composites (MMCs), hydrogen-compatible materials, and net-zero manufacturing technologies. The talk outlines key challenges facing the sector—including material degradation, hydrogen embrittlement, permeation, fabrication costs, and limited circularity—and presents innovative solutions ranging from energy-efficient additive manufacturing and microwave-assisted processing to multiscale modelling, AI-driven materials design, and life-cycle assessment. The presentation further demonstrates the impact of this work across energy, healthcare, and nuclear applications, emphasizing cost-effective storage solutions, improved safety performance under hydrogen exposure, and up to 30% reductions in energy consumption for hydrogen storage and transfer systems. It outlines ongoing collaborations with industrial and international partners and the strategic alignment with UK Net Zero goals, including future infrastructure projects such as BEAM-HUB and major funding pipelines through EPSRC, Innovate UK, Hydrogen Europe Research, and ERC schemes. Overall, the talk showcases how applied research, workforce development, and cross-sector partnerships can accelerate the safe, scalable, and sustainable adoption of hydrogen technologies in the UK and globally. Some of Cumbria’s key businesses and organisations gathered at the University of Cumbria's Brampton Road campus in Carlisle for this event, hosted by the University's Research and Knowledge Exchange (RKE) colleagues. The event sought to bring together innovators, industry leaders and stakeholders to explore opportunities in manufacturing and technology across the region, and marked an important step in strengthening research and knowledge exchange opportunities between the University of Cumbria and businesses.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.318
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.040
GPT teacher head0.286
Teacher spread0.246 · 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

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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