Results 171 to 180 of about 124,562 (325)

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

Advanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku, Motoaki Onishi, Tomoki Misaka, Mitsuo Hara, Hirokazu Yano, Hidenori Okuzaki, Jun Matsui, Tsuyoshi Hasegawa, Takuya Matsumoto, Hirofumi Tanaka, Shusaku Nagano   +10 more
wiley   +1 more source

Electrochemical performance enhancement of MnO₂ nanowires through silver incorporation for next-generation supercapacitors

Muhammad Usman Khalid, Sonia Zulfiqar, M. Naziruddin Khan, Imran Shakir, Muhammad Farooq Warsi, Eric W. Cochran   +5 more
openalex   +2 more sources

Rapid Electrodeposition of Defect‐Tuned MOF Nanoarchitectures: Synergistic Unlocking Electrochemical Performance via Dual Modulation of Morphology and Electronic Structure

Advanced Science, EarlyView.
This work utilizes rapid electrodeposition and a competitive ligand to tailor crystal fragment/ amorphous MOF structures while Ni incorporation modulates the Co electronic environment. Their synergistic control over morphology and electronic structure accelerates reconstruction into active (oxy)hydroxides, lowers the Co3+/Co4+ oxidation potential ...
Qing Wang, Zehui Yu, Sanghwa Yoon, Zitao Yang, Bongyoung Yoo   +4 more
wiley   +1 more source

A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids. [PDF]

Sci Rep
Ihammouchen S, Chebabhi A, Ziane D, Rekioua T, Benkhoris MF, Belkhier Y, Bajaj M, Rubanenko O.   +7 more
europepmc   +1 more source

Unlocking the Energy Storage Potential of 2D Layered Sulfur Nanosheets for High-Energy-Density Supercapacitors

Lihua Shen, Shuaishuai Bai, Shan X. Xiong, Kunpeng Zhao, Qingyun Duan, H. Lu, Yuchen Tang   +6 more
openalex   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser induced graphene offers a scalable route to flexible, porous gas sensor with tunable properties and self heating functionality. This summarizes the overview of the design and application landscape of LIG‐based wearable gas sensor in healthcare. ABSTRACT Direct laser irradiation of carbonaceous precursors such as polyimide and wood is a scalable ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Thermal Charging Supercapacitors Based on Graphene Films. [PDF]

ACS Omega
Yang Z, Sun S, Xu Y, Zhao Y, Zhang Y, Zhang H, Li X, Fu S, Zhu H, Fu L, Huang Q, Yu F, Xin Y, Yu Z, Zhou M.   +14 more
europepmc   +1 more source

HierarchicallyArchitecturedNanoporous BiocarbonsPrepared via Dual Chemical Activation for Applicability in CO₂ Capture and Supercapacitors

Vishnumaya Narayanan (21599949), Gurwinder Singh (4381582), Ajanya M Ruban (21599952), Arun Baskar (20086941), Rohan Bahadur (9955801), Vibin Perumalsamy (21599955), Kavitha Ramadass (6387239), Jae-Hun Yang (2492137), Sanje Mahasivam (9293142), Vipul Bansal (348701), Ajayan Vinu (1460026)   +10 more
openalex   +1 more source

Response-surface-based design space exploration and optimisation of wireless sensor nodes with tunable energy harvesters

, 2012
Al-Hashimi, Bashir, Aloufi, Mansour, Kazmierski, Tom, Wang, Leran, Wenninger, Joseph   +4 more
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source