MétaCan
Menu
Back to cohort
Record W6968476405 · doi:10.5281/zenodo.2542607

Cryocooler Market Size, Share, Trends, Competitive Analysis and Growth Opportunities Forecast to 2023

2019· article· en· W6968476405 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

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsnot available
Fundersnot available
KeywordsCryocoolerWindageWork (physics)Gas compressor

Abstract

fetched live from OpenAlex

The global cryocooler market is expected to reach $2,365.8 million by 2023, registering a CAGR of 7.3% by 2023. Cryocooler refers to the mechanical device, used to generate cryogenic temperature and offers cooling to the environment and materials inside it. It follows the closed cycle thermodynamic mechanism and utilizes the flow of gas inside closed pipelines, absorbs the outer temperature and radiates it outside. The device typically uses helium, hydrogen or a mixture of gases to offer cryogenic temperatures.\n\n\nGet a free sample of this research report: https://www.psmarketresearch.com/market-analysis/cryocooler-market/report-sample\n\n\nSome of the key application areas of cryocoolers include military, medical, commercial, environmental, energy, transport, research and development, and space. The global cryocooler market has been witnessing considerable demand from the developed economies owing to the briskly emerging technologies in the military and healthcare sectors.\n\n\nAs per the findings of the research, the aerospace and defense industry is expected to contribute largest to the global cryocooler market. In this industry, cryocoolers are widely being used for military and space applications. Global cryocooler market is expected to register a significant growth, directed by the rising acceptance of several cryocoolers to offer cryogenic temperatures for IR sensors in missile guidance, satellite-based surveillance and night vision based systems.\n\n\nMost commonly used cryocoolers for various applications are the Gifford–McMahon, Joule–Thomson, Brayton, Stirling and Pulse Tube. Weight and cooling capacity are the key parameters taken into consideration while comparing the overall performance of varied cryocoolers. The market for stirling cryocoolers is expected to grow fastest during the forecast period. These cryocoolers have emerged as preferred devices in terms of efficiency, compactness, lesser weight and comparatively low production cost.\n\n\nStirling cryocoolers use linear electric drive, resulting in their long life, which is likely to increase their adoption in the global cryocooler market. Moreover, developing nations such as China, Malaysia, India and Thailand are registering notable growth in industries such as aerospace and defense, healthcare and semiconductor, due to which the demand for these cryocoolers is expected to surge in these nations during the forecast period.\n\n\nExplore report at: https://www.psmarketresearch.com/market-analysis/cryocooler-market\n\n\nSome of the major players in the global cryocooler market include Sumitomo Heavy Industries, Northrop Grumman Corporation, Janis Research Company, RICOR Cryogenic & Vacuum Systems, Advanced Research Systems, DH Industries, Air Liquide, L-3 Communications Holdings, Lockheed Martin Corporation, Superconductor Technologies, Chart Industries, Brooks Automation, Sunpower and Cryomech.\n\n\nAbout P&S Intelligence\n\n\nP&S Intelligence, a brand of P&S Market Research, is a provider of market research and consulting services catering to the market information needs of burgeoning industries across the world. Providing the plinth of market intelligence, P&S as an enterprising research and consulting company, believes in providing thorough landscape analyses on the ever-changing market scenario, to empower companies to make informed decisions and base their business strategies with astuteness.\n\n\nContact: \nP&S Intelligence\nToll-free: +1-888-778-7886 (USA/Canada)\nInternational: +1-347-960-6455\nEmail: enquiry@psmarketresearch.com\nWeb: https://www.psmarketresearch.com

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.001

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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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