Gallium‐Based Liquid Metals as an Engineered Multifunctional Platform: from Biomedical Innovations to Energy and Material Systems
Abstract This review breaks with traditional research by repositioning gallium‐based liquid metals (LMs) as a programmable, dynamically reconfigurable multifunctional platform. Leveraging their unique liquid‐state properties including morphological transformability, high thermal/electrical conductivity, catalytic activity, and biocompatibility, this work systematically elucidates how proactive design and precise modulation of these physicochemical attributes enable the construction of cross‐domain adaptive integrated systems. The core innovation lies in proposing an “engineered platform” strategy: By harnessing adaptive interfacial capabilities and dynamic reconfigurability of LM, it achieves on‐demand functional convergence across diverse fields from biomedicine and advanced energy to intelligent sensing and thermal management. Beyond analyzing LM's material essence and controllable synthesis methods, this work reveals a synergistic “property‐function‐system” design mechanism, thereby establishing an innovative paradigm for developing next‐generation smart materials and disruptive technologies.
Authors
- Jibin Song (ORCID: https://orcid.org/0000-0003-4771-5006)
- Mingming Gao (ORCID: https://orcid.org/0000-0002-0589-7633)
- Xing Gao (ORCID: https://orcid.org/0000-0002-3279-2984)
- Lan Bao
- Suqin Han
- Ling Chen (ORCID: https://orcid.org/0000-0001-6074-523X)
- Li‐Wei Chen (ORCID: https://orcid.org/0000-0002-1929-9351)
- Duo Liu (ORCID: https://orcid.org/0000-0002-5503-2566)
- Yurong Guo (ORCID: https://orcid.org/0000-0001-6655-5357)
- Yan Sun
Institutions
- Qilu University of Technology (CN)
- Shandong University (CN)
- University of Jinan (CN)
- Shandong Institute of Metrology (CN)
- Beijing University of Chemical Technology (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-09-28
- DOI
- https://doi.org/10.1002/adfm.202500810
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00