AI Article Synopsis
- The design of a compressible battery is crucial for flexible electronics, but current manufacturing methods face challenges.
- 3D printing enables the production of innovative electrodes, leading to the development of a quasi-solid-state Ni-Fe battery (QSS-NFB) with impressive compressibility and energy density.
- This QSS-NFB exhibits exceptional cycling stability and can retain about 91.3% of its capacity after 10,000 cycles, making it a promising option for future stretchable and wearable tech.
Article Abstract
The design of a compressible battery with stable electrochemical performance is extremely important in compression-tolerant and flexible electronics. While this remains challenging with the current battery manufacturing method, the field of 3D printing offers the possibility of producing free-standing 3D-printed electrodes with various structural configurations. Through the simple and scalable strategy, various structural configurations can be produced. Herein, we demonstrate a 3D-printed quasi-solid-state Ni-Fe battery (QSS-NFB) that shows excellent compressibility, ultrahigh energy density, and superior long-term cycling durability. Through a rational design and adjustment of chemical components, two electrodes consisting of ultrathin Ni(OH) nanosheet array cathode and holey α-FeO nanorod array anode are achieved with a ultrahigh active material loading over 130 mg cm and excellent compressibility up to 60%. It is noteworthy that the compressible QSS-NFB demonstrated an excellent cycling stability (∼91.3% capacity retentions after 10000 cycles) and ultrahigh energy density (28.1 mWh cm at a power of 10.6 mW cm). This work provides a simple method for producing compression-tolerant energy-storage devices, which are expected to have promising applications in next generation stretchable/wearable electronics.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1021/acsnano.0c01157 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Aculeapyridones A-Q, Pyranopyridone Alkaloids with Protective Effects against Acetaminophen-Induced Acute Liver Injury Discovered from a Coculture of WHUF0198 and a sp.
J Nat Prod
January 2025
Department of Nephrology, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, People's Republic of China.
In the search for novel natural products with hepatoprotective effects against acetaminophen-induced acute liver injury, the marine-derived fungus WHUF0198 was investigated. Seventeen undescribed pyranopyridone alkaloids, aculeapyridones A-Q (-), were isolated by bioactivity-guided fractionation of an extract obtained by coculture of the WHUF0198 with the mangrove-associated fungus sp. DM27.
View Article and Find Full Text PDFHigh Dimensionless Figure of Merit and Efficiency Thermoelectrics for Operation below Sub-250 °C─Origin of Colossal Seebeck Coefficient with Phonon Assisting, Coexistence with Electrical Conductivity, and Device Application for Their Multilayered Structure.
ACS Appl Mater Interfaces
January 2025
Clean Energy Research Center, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi 400-8511, Japan.
Thermoelectric (TE) devices recycle high-temperature waste-heat efficiently, but waste-heat below sub-250 °C remains uncaptured. As promoting full autonomy for the Internet of Things (IoT), we present a TE generator using multilayered pseudo--type GaN/TiN/GaN and -type TiO/TiN/TiO TE one-leg devices, where heterozygous of outer/inner layers demonstrates the functions of a colossal Seebeck coefficient ( = +15,000 μV K) with phonon-assist hopping, controlling by the porosity for reducing thermal conductivity (κ), a high electric conductivity (σ) with reducing κ by outer layers, and σ- coexistence over singular curve by the asymmetric electrode configuration. is elucidated hopping among inner grains and the space charge (SC) grain boundary (GB) of 100 μm regions within Debye length.
View Article and Find Full Text PDFImproving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.
J Chem Inf Model
January 2025
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
In the field of computational chemistry, predicting bond dissociation energies (BDEs) presents well-known challenges, particularly due to the multireference character of reactive systems. Many chemical reactions involve configurations where single-reference methods fall short, as the electronic structure can significantly change during bond breaking. As generating training data for partially broken bonds is a challenging task, even state-of-the-art reactive machine learning interatomic potentials (MLIPs) often fail to predict reliable BDEs and smooth dissociation curves.
View Article and Find Full Text PDFA new diterpenoid, carneadiol, isolated from Nocardia carnea IFM 12324.
J Nat Med
January 2025
Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan.
A new diterpenoid, carneadiol (1), with an unprecedented tricyclic carbon skeleton, was isolated from the culture extracts of Nocardia carnea IFM 12324. The structure of compound 1 was elucidated using spectral studies, including various NMR data. The absolute configuration of 1 was determined using X-ray crystallographic analysis with the crystalline sponge method.
View Article and Find Full Text PDF: active learning in neutron reflectometry for fast data acquisition.
J Appl Crystallogr
January 2024
NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Neutron reflectometry (NR) is a powerful technique for interrogating the structure of thin films at interfaces. Because NR measurements are slow and instrument availability is limited, measurement efficiency is paramount. One approach to improving measurement efficiency is active learning (AL), in which the next measurement configurations are selected on the basis of information gained from the partial data collected so far.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!