Sustainable cooling solutions for electronics: A comprehensive review: Investigating the latest techniques and materials, their effectiveness in mechanical applications, and associated environmental benefits
Bibliographic record
Abstract
This study presents a comprehensive review of the latest techniques and materials in sustainable cooling solutions for electronic systems, focusing on their effectiveness in mechanical applications and associated environmental benefits. The primary aim is to assess the current state and future prospects of sustainable cooling technologies, highlighting their role in addressing thermal management challenges while minimizing environmental impacts. The methodology adopted is a systematic literature review, drawing data from peer-reviewed academic journals, conference proceedings, and industry reports. The search strategy involved keyword searches, database filtering, and reference tracking, with a focus on recent advancements in cooling technologies and their environmental implications. Key findings reveal a significant shift from traditional cooling methods to innovative, environmentally friendly solutions. Advanced materials like phase-change materials and nanotechnology-based heat sinks, along with techniques such as liquid cooling and thermoelectric cooling, have emerged as effective solutions. These technologies offer improved thermal management, reduced carbon footprints, and enhanced resource efficiency. The future landscape of sustainable electronic cooling is expected to be shaped by smart technologies, new materials with superior thermal properties, and the integration of renewable energy sources. The study concludes with strategic recommendations for industry stakeholders and policymakers, emphasizing the need for fostering innovation, promoting green cooling solutions, and setting stringent environmental standards. Future research directions include exploring new materials and technologies, integrating cooling systems with renewable energy, and conducting lifecycle analyses to understand the environmental impact of these technologies fully. This study underscores the critical role of sustainable cooling technologies in achieving environmental sustainability in electronic systems.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".