ArticleNature nanotechnology2025
Mechanochemistry-mediated colloidal liquid metals for electronic device cooling at kilowatt levels.
Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Multi-objective and cross-scale inverse design of temperature-control materials via physics-constrained machine learning.National science review · 2026Article
- Breaking Thermal Conductivity-Electrical Resistivity Trade-Off in Liquid Metal-Based Thermal Interface Materials via Interface Engineering.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- High thermal conductivity in noncrystalline enriched polyethylene fibers.Science advances · 2026Article
- Silicon-Driven Facet Regulation Enables Tunable Micro-Diamond Architectures in Liquid Ga-In.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Highly Vertically Oriented Graphene Microstrip Pads With Ultrahigh Through-Plane Thermal Conductivity and Ultralow Compressive Modulus for Efficient Heat Dissipation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Collaborative passive cooling of impact-hardening interfaces enabled by nacre-mimetic design.Nature communications · 2026Article
- Strong yet highly conductive liquid metal composite film constructed via friction induced in-situ synthesis.Nature communications · 2026Article
- A Wood Plasticine With Controlled Phase-Change Behavior and Malleability for Energy-Closed-Loop and Conformally Adaptive Thermal Management.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Flexible rubber with metal-like thermal conductivity achieved via hydrogen bonding engineering.Nature communications · 2026Article
- Skin-Integrated Soft Wearable XR Interfaces for Seamless and Realistic User Experience.Chemical reviews · 2025Review
- Article
- Thermal conductivity modeling beyond the dilute limit using a body-centered cubic framework for densely packed polymer composites.Nature communications · 2025Article
- Controlled Growth of Graphene-Skinned AlAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Electronic systems and devices operating at significant power levels demand sophisticated solutions for heat dissipation. Although materials with high thermal conductivity hold promise for exceptional thermal transport across nano- and microscale interfaces under ideal conditions, their performance often falls short by several orders of magnitude in the complex thermal interfaces typical of real-world applications. This study introduces mechanochemistry-mediated colloidal liquid metals composed of Galinstan and aluminium nitride to bridge the practice-theory disparity. These colloids demonstrate thermal resistances of between 0.42 and 0.86 mm
Identifiers
39327511What 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.