International Journal of Machine Learning, AI & Data Science Evolution
E-ISSN: 3067-5073
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Monthly Scholarly International Journal
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Volume 2 Issue 9
September 2026
Advanced Materials for Energy Harvesting: Emerging Solutions for Self-Powered Intelligent Devices
| Author(s) | Taekwang Jang |
|---|---|
| Country | Switzerland |
| Abstract | The expansion of wearable electronics, distributed sensor networks, implantable technologies, and intelligent Internet of Things devices has increased demand for compact and reliable power sources. Conventional batteries provide comparatively stable energy, but their finite lifetime, physical rigidity, maintenance requirements, and disposal impacts can restrict long-duration and inaccessible applications. Energy-harvesting materials offer a complementary pathway by converting mechanical motion, vibration, heat, light, radio-frequency radiation, and interfacial charge transfer into usable electrical energy. Progress in nanostructured piezoelectrics, triboelectric polymers, flexible thermoelectrics, thin-film photovoltaics, conductive composites, and multifunctional textiles is enabling energy generators that can be integrated directly with intelligent devices. This simulation-based study evaluates material platforms and system architectures for self-powered intelligent devices. A hypothetical hybrid harvester integrating triboelectric, piezoelectric, photovoltaic, thermoelectric, and radio-frequency mechanisms was examined under mixed ambient conditions. The simulated usable-energy contribution was distributed as 32% triboelectric, 27% piezoelectric, 21% photovoltaic, 12% thermoelectric, and 8% radio-frequency or electromagnetic harvesting. These percentages illustrate system-level complementarity and do not represent measured device outputs. The analysis indicates that no individual material mechanism is universally optimal. Mechanical harvesters provide intermittent but potentially substantial outputs during movement, photovoltaic materials are productive under adequate illumination, and thermoelectric materials require sustained temperature gradients. Hybrid systems can reduce dependence on a single environmental source, but they introduce challenges in impedance matching, rectification, energy management, storage integration, mechanical durability, and lifecycle sustainability. The study concludes that self-powered intelligence requires coordinated design across materials, device architecture, power electronics, energy storage, sensing, computation, and communication. Future research should evaluate net usable energy, reliability, environmental impact, and task completion rather than emphasizing peak laboratory output alone. |
| Keywords | advanced materials, energy harvesting, self-powered devices, triboelectric nanogenerators, piezoelectric materials, thermoelectric materials, flexible electronics, intelligent sensors |
| Field | Engineering |
| Published In | Volume 2, Issue 9, September 2026 |
| Published On | 2026-09-04 |
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E-ISSN: 3067-5073
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