Results 211 to 220 of about 726,689 (287)

Architecture‐Controlled Hierarchical Carbon‐Based Current Collector for Mitigating Interfacial Instabilities in Lithium‐Metal Anodes

Advanced Science, EarlyView.
A defect‐engineered, hierarchically porous carbon black/CNT current collector guides lithiophilic nucleation in 3D architecture. Steam‐created defects enable uniform Li plating, while CNTs provide conductivity and a lightweight framework, suppressing dendrites and side reactions for stable anode‐free cells.
Seo Hui Kang, Dong Hyeon Hwa, Ji Su Chae, Kwang Chul Roh   +3 more
wiley   +1 more source

Artificial Intelligence-Based Decision Support System for UAV Control in a Simulated Environment. [PDF]

Sensors (Basel)
Sujecki P, Frąszczak D.
europepmc   +1 more source

Fully Textured Monolithic Sb2S3/Silicon Tandem for Unbiased and Stable Solar‐Driven Water Splitting Paired with Iodide Oxidation Reaction

Advanced Science, EarlyView.
Monolithically integrated Sb2S3 on industry‐compatible textured silicon for tandem photoelectrochemical hydrogen evolution coupled with iodide oxidation. ABSTRACT Solar‐driven photoelectrochemical (PEC) production of chemical fuels such as hydrogen is a viable solution to address climate neutrality objectives.
Jihong Min, Irene Dei Tos, Sepideh Rahimisheikh, Beatriz de la Fuente, Devika Rajagopal, Jan D'Haen, David Cornil, Tom Hauffman, Tom Aernouts, David Beljonne, Joke Hadermann, Byungha Shin, Bart Vermang, Sudhanshu Shukla   +13 more
wiley   +1 more source

Variable Selection via Fused Sparse-Group Lasso Penalized Multi-state Models Incorporating Molecular Data. [PDF]

Biom J
Miah K, Goeman JJ, Putter H, Kopp-Schneider A, Benner A.   +4 more
europepmc   +1 more source

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

Advanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

Obstacle-aware inverse kinematics of variable-length continuum robots via teaching-learning-based optimization with experimental validation. [PDF]

Sci Rep
Ghoul A, Sattar AM, Adoul MA, Sadki O, Djeffal S.   +4 more
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

D3PG-Light: A Lightweight and Stable Resource Scheduling Framework for UAV-Integrated Sensing, Communication, and Computation Systems. [PDF]

Sensors (Basel)
Cheng Q, Wu W, Zhou Y.
europepmc   +1 more source

Research Progress and Applications of Non‐Carrier‐Injection Electroluminescence

Advanced Electronic Materials, EarlyView.
Non‐carrier‐injection electroluminescence (NCI‐EL) uses AC fields and displacement currents to trigger light from internal charge reservoirs, enabling minimalist emitters with remotely coupled terminals. This review maps shared mechanisms across organics, GaN, quantum dots, and TMDCs, compares planar, interdigital, single‐terminal, and coaxial designs,
Wei Huang, Jianbi Le, Rong Chen, Zhixian Lin, Xiongtu Zhou, Yongai Zhang, Chaoxing Wu   +6 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source