ReviewACS omega2026
Advances in Phase Change Materials for Thermal Energy Storage and Management: Challenges and Enhancement Strategies.
Review in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Comparative Analysis of Porous Alkali-Activated Composites Modified with Commercial and Laboratory-Prepared Phase Change Materials.Materials (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The accelerating demand for high-performance thermal management in electronics and renewable energy systems has positioned phase change materials (PCMs) as critical components for passive temperature regulation due to their substantial latent heat, which absorbs the significant heat generated by electronic devices. This review offers a comprehensive analysis of PCMs, covering their selection criteria, classification, encapsulation techniques, and strategies for performance enhancement in thermal energy storage (TES) and thermal management systems in electronic devices. Despite significant advancements in PCM-based technologies, the incorporation of nanomaterials into PCMs to enhance thermal conductivity involves a series of interconnected trade-offs that lead to latent heat capacity reduction, leakage, viscosity, cyclic performance and durability, and physical and chemical stability that hinder their widespread adoption. In addition, this review presents a paradigm shift toward supramolecular phase change materials (SPCMs)an advanced class of materials that transcend the limitations of their traditional counterparts through the strategic exploitation of dynamic, noncovalent interactions, including hydrogen bonding and π-π stacking. These supramolecular architectures uniquely combine shape stabilization with emergent functionalities, such as self-healing capability, reprocessability, and exceptional dimensional stability, during phase transitions. We provide a systematic analysis of advanced modification and optimization strategies driving SPCM composite innovation. Key focuses include sophisticated encapsulation techniques, such as supramolecular lock shell layers, nanomaterials, nanoparticles, and porous matrix confinement, which achieve ultrahigh core loadings with exceptional cycling stability. Particular emphasis is placed on the strategic integration of functional nanofillers via surface chemical functionalization and noncovalent π-π stacking. These approaches uniquely overcome classical material trade-offs, simultaneously enhancing thermal conductivity and mechanical robustness while preserving latent heat capacityachievements unattainable with conventional PCMs. This review provides a focused roadmap for developing scalable, durable SPCMs tailored for next-generation thermal management applications.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.