Results 141 to 150 of about 5,219 (218)

Binder Engineering Suppresses Jahn–Teller‐Driven Mn Dissolution and Enables High‐Loading MnO2 Cathodes for Aqueous Zn‐Ion Batteries

Advanced Functional Materials, EarlyView.
A Zn2+‐coordinated poly(vinylidene fluoride) binder is shown to suppress Jahn–Teller‐driven Mn dissolution while improving dispersion, wettability, and structural integrity in thick MnO2 cathodes. This simple binder‐engineering strategy enables high‐loading aqueous Zn‐ion batteries with enhanced areal capacity, cycling stability, and practical promise ...
Insung Jang, Geun Yoo, Geon−Hyoung An
wiley   +1 more source

A Simple Approach for Operando Interface Probing for Batteries: Combining Scanning APXPS with Spectroscopic Recognition. [PDF]

ACS Appl Mater Interfaces
Liu Q, King L, Wagner H, Križan A, Derr L, Browning KL, Veith GM, Ericson T, Temperton R, Hahlin M.   +9 more
europepmc   +1 more source

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

Advanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

Spatio-Temporal Joint Network for Coupler Anomaly Detection Under Complex Working Conditions Utilizing Multi-Source Sensors. [PDF]

Sensors (Basel)
Zhao Z, Jiang Z, Xiao Q, Zhang L, Wang J.   +4 more
europepmc   +1 more source

Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs

Advanced Functional Materials, EarlyView.
Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric, Gohar Soufi, Ziqiao Li, Erick Chica, Amran Abdirasheed Ali Jinow, Nada Al‐Roubaï, Noor Ahmed, Yaman Göksel, Anja Boisen   +8 more
wiley   +1 more source

Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs. [PDF]

Infect Dis Model
Xie L, Yang J, Li Z.
europepmc   +1 more source

Tuning Separator Chemistry: Improving Zn Anode Compatibility via Functionalized Chitin Nanofibers

Advanced Functional Materials, EarlyView.
Nanochitin derived from waste shrimp shells is used to fabricate separators for aqueous zinc batteries. By tuning the density of amine and carboxylic surface groups, water mobility at the separator interface is controlled, promoting uniform zinc deposition, suppressing dendrite growth, and enabling exceptional cycling stability exceeding 2000 h ...
Ibrahim Al Kathemi, Vishnu Arumughan, Mohamed Zbiri, Marcel Kröger, Ira Smal, Eero Kontturi, Roza Bouchal   +6 more
wiley   +1 more source

Path planning for manipulators based on the planar constraint RRT* algorithm. [PDF]

Sci Rep
Li M, Jiang W, Luo Z, Wang Y, Yang L.
europepmc   +1 more source

Chlorination‐Enabled Oxygen Control and Dual‐Sulfur Source Aided Trap Passivation to Unlock 8.24% Efficient Sb2S3 Photovoltaic Devices

Advanced Functional Materials, EarlyView.
This work demonstrates a scalable, low‐temperature synthesis strategy that combines a thioacetamide (TA)‐based dual sulfur source with CdS chlorination, enabling the formation of high‐quality Sb2S3 with a reduced open‐circuit voltage loss, resulting in improved device efficiency.
Vijay C. Karade, Namuna Adhikari, Samietha S. Kumar, Alisha Adhikari, Vamsi Borra, Prabodika N. Kaluarachchi, Tingting Zhu, Tyler Brau, Rohini Kanase, Ebin Bastola, Xavier Mathew, Abasi Abudulimu, Adam B. Phillips, Michael J. Heben, Zhaoning Song, Yanfa Yan, Randy J. Ellingson   +16 more
wiley   +1 more source

A mechanism-driven reinforcement learning framework for shape optimization of airfoils

In this paper, a novel mechanism-driven reinforcement learning framework is proposed for airfoil shape optimization. To validate the framework, a reward function is designed and analyzed, from which the equivalence between the maximizing the cumulative ...
Wang, Jingfeng, Hu, Guanghui
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