ReviewJoule2025
Heat capacity estimation of complex materials for energy technologies.
Review in Joule, 2025. 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.
- Synergetic properties of advanced materials for high-power and high-temperature applications.Discover nano · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heat capacity, which directly relates to free energy changes and thermal transport, is fundamental to modern engineering design. Even though current computational technology provides a detailed picture of atomic vibrations, the Debye and Dulong-Petit models are still widely utilized despite being prone to lower accuracy. Modern considerations of vibrational states, anharmonicity, electronic carriers, and phase transformations could improve estimates. Herein, the physics-based vibrational + dilation + electronic (VDE) model incorporates a user-provided phonon density of states, a phonon pressure-based dilation term, and an electronic component. Phonon density of states from analytical, machine-learned, and first-principles methods are compared, thus highlighting the advantages of machine-learned technology. Heat capacity estimates for 38 diverse materials are often within 5% of experimental values between 200 and 600 K. Detailed temperature-dependent investigations are carried out for several materials, including
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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.