MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition DOI
Fengying Wang,

Dengke Song,

Can Zhou

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(31), P. 41583 - 41595

Published: July 24, 2024

Conductive hydrogels are widely used in flexible sensors owing to their adjustable structure, good conductivity, and flexibility. The performance of excellent mechanical properties, high sensitivity, elastic modulus compatible with human tissues is great interest the field sensors. In this paper, functional groups trisodium citrate dihydrate (SC) MXene form multiple hydrogen bonds polymer network prepare a hydrogel properties (Young's (23.5–92 kPa) similar tissue (0–100 kPa)), sensitivity (stretched GF 4.41 compressed S1 5.15 MPa–1), durability (1000 cycles). able sensitively detect deformations caused by strain stress can be movement real time such as fingers, wrists, walking. addition, combination matrix sensing machine learning was successfully for handwriting recognition an accuracy 0.9744. shows potential areas healthcare, information security, smart homes.

Language: Английский

Applications of doped-MXene-based materials for electrochemical energy storage DOI
Hau Quoc Pham, Tai Thien Huynh

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 517, P. 216039 - 216039

Published: June 21, 2024

Language: Английский

Citations

15

Coordination environment manipulation of single atom catalysts: Regulation strategies, characterization techniques and applications DOI
Wentao Zhang, Yue Zhao,

Wenguang Huang

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 515, P. 215952 - 215952

Published: May 20, 2024

Language: Английский

Citations

14

Recent advances in the development of single atom catalysts for oxygen evolution reaction DOI Creative Commons
Sai Li,

Zeyi Xin,

Yue Luo

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 82, P. 1081 - 1100

Published: Aug. 9, 2024

Language: Английский

Citations

14

Minutes‐Fast Production of Vacancy‐Enriched MXenes as an Efficient Platform for Single‐Atom Electrocatalysts DOI
Yu Guo, Qi Zhu, Ziming Wang

et al.

Advanced Energy Materials, Journal Year: 2024, Volume and Issue: 14(17)

Published: March 15, 2024

Abstract Although MXenes have been synthesized by liquid phase and molten salt etching approaches, it still suffers from sluggish reaction kinetics of removing A species MAX phases associated with an overlong production time (5–48 h). Here, a minute‐level approach is developed to produce (Ti 2 CCl x ) selectively AlC) under metal chloride (ZnCl vapor. In this synthetic protocol, vapor possesses very high chemical activity the interlaminar layers owing negative Gibbs free energies, accompanied fast removal gaseous A‐containing chlorides in system. Moreover, some M can be controllably etched off lattice MX slabs generate vacancies, which reducing ability implant single‐atom Zn ZnCl Finally, vacancy‐enriched are produced after volatilization Zn. manner, less than one‐sixtieth those approaches. The resultant employed as efficient platform for implanting Pt, showing low overpotential 41 mV at current density 10 mA cm −2 good long‐term stability up 5000 cycles.

Language: Английский

Citations

12

MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition DOI
Fengying Wang,

Dengke Song,

Can Zhou

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(31), P. 41583 - 41595

Published: July 24, 2024

Conductive hydrogels are widely used in flexible sensors owing to their adjustable structure, good conductivity, and flexibility. The performance of excellent mechanical properties, high sensitivity, elastic modulus compatible with human tissues is great interest the field sensors. In this paper, functional groups trisodium citrate dihydrate (SC) MXene form multiple hydrogen bonds polymer network prepare a hydrogel properties (Young's (23.5–92 kPa) similar tissue (0–100 kPa)), sensitivity (stretched GF 4.41 compressed S1 5.15 MPa–1), durability (1000 cycles). able sensitively detect deformations caused by strain stress can be movement real time such as fingers, wrists, walking. addition, combination matrix sensing machine learning was successfully for handwriting recognition an accuracy 0.9744. shows potential areas healthcare, information security, smart homes.

Language: Английский

Citations

12