Adamantane plasma polymers: fluorine-free vacuum-processable triboelectric thin films for all-triboelectric nanogenerator configurations
Gloria P. Moreno-Martinez, Fernando Nunez-Galvez, Hari Krishna Mishra, Triana Czermak, Xabier Garcia-Casas, Vanda Cristina Godinho, Bernd Wicklein, Juan Carlos Sanchez-Lopez, Javier Ferrer, Isabel Montero, Juan Ramon Sanchez-Valencia, Andris Sutka, Francisco Aparicio

TL;DR
This paper introduces fluorine-free, vacuum-processable adamantane plasma polymers as versatile triboelectric thin films for all-triboelectric nanogenerator setups, demonstrating high output, durability, and scalable fabrication.
Contribution
It presents a novel, environmentally friendly synthesis of adamantane plasma layers with tunable triboelectric properties for diverse nanogenerator applications.
Findings
Voltage and current outputs up to 90 V/cm² and 0.6 μA achieved.
Maximum power density of 2.1 μW/cm² in droplet-based TENGs.
Durability exceeds 10^5 cycles in solid-solid configurations.
Abstract
Triboelectric nanogenerators (TENGs) are major drivers in on-site power generation for smart devices, enable self-powered sensors, and introduce novel catalytic processes. Here, we present the advantages of adamantane plasma layers as bivalently triboelectric surfaces capable of exhibiting both tribopositive and tribonegative character through simple modification of the synthesis conditions without the need for additives or functionalization. Fabrication facing or backfacing the plasma yields thin film polymers with different dielectric constants, Young's moduli, and secondary electron emission. The conformality, stability, and processability of the polymers enable direct implementation across solid-solid, solid-liquid, and hybrid piezo-triboelectric configurations. Additional texturization by buckling is shown to provide voltage and current outputs as high as 90 V cm2 and 0.6 uA for a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
