ReviewNano-micro letters2021
Hybrid Triboelectric-Electromagnetic Nanogenerators for Mechanical Energy Harvesting: A Review.
Review in Nano-micro letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Electroadhesion in Polymer-Polymer Systems: From Theory and Modeling to Emerging Applications.Polymers · 2026Review
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Efficient Harvesting of Irregular and Low-Frequency Mechanical Energy via Hybridized Electromagnetic-Triboelectric Systems.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Optimization of Magnetic Filler Loading and Interstitial Dielectric Percolation for Tunable Triboelectric-Electromagnetic Hybrid Generators.Micromachines · 2026Article
- Performance enhancement of polysiloxane-based nanocomposite TENGs through optimized MWCNT concentration.Frontiers in chemistry · 2026Article
- Optimization of MWCNT Concentration in Polysiloxane-Based Nanocomposites for Enhanced Performance of the TENGs.ACS omega · 2025Article
- Additive Manufacturing for Nanogenerators: Fundamental Mechanisms, Recent Advancements, and Future Prospects.Nano-micro letters · 2025Review
- Bioelectronic Medicines-A Novel Approach of Therapeutics in Current Epoch.Current pharmaceutical design · 2025Review
- Enhancing energy conversion efficiency of electromagnetic repulsion mechanisms through resistance coefficient optimization model.Scientific reports · 2024Article
- Self-adaptive rotational electromagnetic energy generation as an alternative to triboelectric and piezoelectric transductions.Communications engineering · 2024Article
- Recent Advances in Self-Powered Wearable Flexible Sensors for Human Gaits Analysis.Nanomaterials (Basel, Switzerland) · 2024Review
- A Review of Contact Electrification at Diversified Interfaces and Related Applications on Triboelectric Nanogenerator.Nano-micro letters · 2023Review
- Multilayered Functional Triboelectric Polymers for Self-Powered Wearable Applications: A Review.Micromachines · 2023Review
- Universal Energy Solution for Triboelectric Sensors Toward the 5G Era and Internet of Things.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Sensor Technology in Fracture Healing.Indian journal of orthopaedics · 2023Review
- A Nonlinear Impact-Driven Triboelectric Vibration Energy Harvester for Frequency Up-Conversion.Micromachines · 2023Article
- Multi-Transduction-Mechanism Technology, an Emerging Approach to Enhance Sensor Performance.Sensors (Basel, Switzerland) · 2023Review
- Toward Large-Scale Energy Harvesting by a UV-Curable Organic-Coating-Based Triboelectric Nanogenerator.Sensors (Basel, Switzerland) · 2023Article
- Bioelectronic multifunctional bone implants: recent trends.Bioelectronic medicine · 2022Review
- Recent Progress on Triboelectric Nanogenerators for Vibration Energy Harvesting and Vibration Sensing.Nanomaterials (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motion-driven electromagnetic-triboelectric energy generators (E-TENGs) hold a great potential to provide higher voltages, higher currents and wider operating bandwidths than both electromagnetic and triboelectric generators standing alone. Therefore, they are promising solutions to autonomously supply a broad range of highly sophisticated devices. This paper provides a thorough review focused on major recent breakthroughs in the area of electromagnetic-triboelectric vibrational energy harvesting. A detailed analysis was conducted on various architectures including rotational, pendulum, linear, sliding, cantilever, flexible blade, multidimensional and magnetoelectric, and the following hybrid technologies. They enable highly efficient ways to harvest electric energy from many forms of vibrational, rotational, biomechanical, wave, wind and thermal sources, among others. Open-circuit voltages up to 75 V, short-circuit currents up to 60 mA and instantaneous power up to 144 mW were already achieved by these nanogenerators. Their transduction mechanisms, including proposed models to make intelligible the involved physical phenomena, are also overviewed here. A comprehensive analysis was performed to compare their respective construction designs, external excitations and electric outputs. The results highlight the potential of hybrid E-TENGs to convert unused mechanical motion into electric energy for both large- and small-scale applications. Finally, this paper proposes future research directions toward optimization of energy conversion efficiency, power management, durability and stability, packaging, energy storage, operation input, research of transduction mechanisms, quantitative standardization, system integration, miniaturization and multi-energy hybrid cells.
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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.