Fereshteh Rajabi Kouchi, Tony Valayil Varghese, Hailey Burgoyne, Naqsh E Mansoor, Myeong-Lok Seol, Nicholas McKibben, Shruti Nirantar, Karthik Chinnathambi, Josh Eixenberger, Olivia Maryon, Christopher E Shuck, Yury Gogotsi, Jessica E Koehne, David Estrada
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引用次数: 0
Abstract
Lightweight energy storage devices are essential for developing compact wearable and distributed electronics, and additive manufacturing offers a scalable, low-cost approach to fabricating such devices with complex geometries. However, additive manufacturing of high-performance, on-demand energy storage devices remains challenging due to the need for stable, multifunctional nanomaterial inks. Herein, the development of 2-dimensional (2D) titanium carbide (Ti3C2Tx MXene) ink that is compatible with aerosol jet printing for energy storage applications is demonstrated. The developed MXene ink demonstrates long-term chemical and physical stability, ensuring consistent printability and achieving high-resolution prints (≈45 µm width lines) with minimal overspray. The high-resolution aerosol-jet printed MXene supercapacitor achieves an areal capacitance of 122 mF cm-2 and a volumetric capacitance of 611 F cm-3, placing them among the highest-performing printed supercapacitors reported to date. These findings highlight the potential of aerosol jet printing with MXene inks for on-demand, scalable, and cost-effective fabrication of printed electronic and electrochemical devices.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.