<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Guan Y</submitter><funding>Shenzhen Natural Science Fund</funding><funding>National Natural Science Foundation of China</funding><pagination>e05246</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12376591</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(31)</volume><pubmed_abstract>Approximately 70% of the Earth's surface is covered by seawater, making the ocean ideal for harvesting energy. Triboelectric nanogenerators (TENGs), due to their low cost and simple structure, are well-suited for capturing ocean energy. However, their low charge transfer under weak inputs limits efficiency in harvesting random and ultra-low-frequency wave energy. This paper proposes a novel bistable multi-layer TENG (BM-TENG) to address this challenge for self-powered wireless sensing and lighting. Simulations and experiments demonstrate that both in intra-well and inter-well motions, the bistable mechanism enhances the dynamic responses and thus the power output by up to 48%. Furthermore, the multi-layer design within the constrained structure significantly boosts the power density. Experimental results show 730 V peak-to-peak open-circuit voltage and 5 mW maximum power in a three-layer BM-TENG under the excitation of 0.6 Hz and 0.18 g. The normalized power density of the proposed device is 54.9 Wm&lt;sup>-3&lt;/sup>·Hz&lt;sup>-1&lt;/sup>, surpassing the state-of-the-art results in literature. The application test shows that BM-TENG can successfully power 296 LEDs for ocean warning lighting, and power Bluetooth wireless sensors for monitoring marine environmental variables. This work introduces a novel and highly efficient self-powered sensing technique for advancements in marine Internet of Things (IoT) systems.</pubmed_abstract><journal>Advanced science (Weinheim, Baden-Wurttemberg, Germany)</journal><pubmed_title>Bistable Multi-Layer Triboelectric Nanogenerator for Harvesting Random and Ultra-Low-Frequency Vibration Energy with Increased Charge Transfer.</pubmed_title><pmcid>PMC12376591</pmcid><funding_grant_id>52375112</funding_grant_id><funding_grant_id>JCYJ20230808105206013</funding_grant_id><funding_grant_id>52205114</funding_grant_id><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Guan Y</pubmed_authors><pubmed_authors>Lai Z</pubmed_authors><pubmed_authors>Xiao M</pubmed_authors><pubmed_authors>Fang S</pubmed_authors><pubmed_authors>Wei Z</pubmed_authors><pubmed_authors>Dong S</pubmed_authors><pubmed_authors>Yurchenko D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Bistable Multi-Layer Triboelectric Nanogenerator for Harvesting Random and Ultra-Low-Frequency Vibration Energy with Increased Charge Transfer.</name><description>Approximately 70% of the Earth's surface is covered by seawater, making the ocean ideal for harvesting energy. Triboelectric nanogenerators (TENGs), due to their low cost and simple structure, are well-suited for capturing ocean energy. However, their low charge transfer under weak inputs limits efficiency in harvesting random and ultra-low-frequency wave energy. This paper proposes a novel bistable multi-layer TENG (BM-TENG) to address this challenge for self-powered wireless sensing and lighting. Simulations and experiments demonstrate that both in intra-well and inter-well motions, the bistable mechanism enhances the dynamic responses and thus the power output by up to 48%. Furthermore, the multi-layer design within the constrained structure significantly boosts the power density. Experimental results show 730 V peak-to-peak open-circuit voltage and 5 mW maximum power in a three-layer BM-TENG under the excitation of 0.6 Hz and 0.18 g. The normalized power density of the proposed device is 54.9 Wm&lt;sup>-3&lt;/sup>·Hz&lt;sup>-1&lt;/sup>, surpassing the state-of-the-art results in literature. The application test shows that BM-TENG can successfully power 296 LEDs for ocean warning lighting, and power Bluetooth wireless sensors for monitoring marine environmental variables. This work introduces a novel and highly efficient self-powered sensing technique for advancements in marine Internet of Things (IoT) systems.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-09T19:08:19.444Z</modification><creation>2026-04-08T01:09:56.742Z</creation></dates><accession>S-EPMC12376591</accession><cross_references><pubmed>40552407</pubmed><doi>10.1002/advs.202505246</doi></cross_references></HashMap>