Results 131 to 140 of about 8,361 (290)

Reconstruction of Nickel Chalcogenide Induced Ruthenium Nanoparticles Embedding for Oxygen Evolution: Mechanism Switching Enables Enhanced Catalytic Activity

Advanced Science, EarlyView.
Ru nanoparticles supported nickel chalcogens (Ru/NiX, X = S, Se), which enable fast electrooxidation to form an adaptively Ru embedding structure, featured by the compressed Ru─O─Ni bridge bonds at the Ru/NiOOH interface. On the one hand, Ru nanoparticles have a high affinity for capturing the OH−, consequently increasing the *O radical coverage.
Yuewen Wu, Mingpeng Chen, Xinqi Chen, Huachuan Sun, Tong Zhou, Yun Chen, Dequan Li, Jin Zhang, Feng Liu, Hao Cui, Qingju Liu   +10 more
wiley   +1 more source

Rare‐Earth Substitution Induced Symmetry Breaking for The First Sc‐Based Nonlinear Optical Chalcogenide with High‐Performance

Advanced Science
Chalcogenides are the most important infrared nonlinear optical (NLO) material candidates, and the exploration of high‐performance ones is attractive and challengeable. Hitherto, there is no NLO scandium (Sc) chalcogenides experimentally studied.
Chen‐Yi Zhao, Chun‐Li Hu, Nian‐Tzu Suen, Xiao‐Hui Li, Hai‐Ping Xu, Wenfeng Zhou, Sheng‐Ping Guo   +6 more
doaj   +1 more source

ASYMMETRIC INTERCALATION OF TRANSITION METAL CHALCOGENIDES

Layered transition metal chalcogenides (TMCs) offer a versatile platform for novel quantum properties through intercalation chemistry. By intercalating molecular species into the van der Waals gaps, one can modulate the host structure, tune electronic ...
Zheng, Huafei
core   +1 more source

Metal Ion‐Induced Fast Gelation of 2D MnO2 Nanosheets With Cationic Vacancies for Durable Aqueous Zinc‐Ion Batteries

Advanced Science, EarlyView.
We report Mn‐deficient aerogels by inducing the first gelation of MnO2 nanosheets in solution using divalent metal ions as crosslinking agents, thereby inhibiting nanosheet restacking and enhancing surface utilization. Benefiting from abundant Mn vacancies and 3D porous structures, the A‐MnO2 cathode exhibits improved conductivity, fast reaction ...
Yalei Wang, Xinyu Huang, Shulong Chang, Bowen Li, Caichao Ye, Feng Yang, Yahui Xue   +6 more
wiley   +1 more source

Recent Advances of Transition Metal Chalcogenides as Cathode Materials for Aqueous Zinc-Ion Batteries. [PDF]

Nanomaterials (Basel), 2022
Liu Y, Wu X.
europepmc   +1 more source

Intrinsic Dual‐Phase Regulated GeSe2 Nanoparticles Triggered by Ball‐Milling Treatment for Photonic Multi‐Valued Logic Circuits

Advanced Science, EarlyView.
We report the solid‐state ball milling, a traditional, reliable, mass‐productive material processing, to prepare the air‐stable and dual‐phase GeSe2‐x nanoparticles with extended photodetection feasibility toward optical‐wavelength regions. We further display photonic multi‐valued logic (MVL) circuit through the employment of a hybrid PMMA/GeSe2‐x ...
An‐Ting Tsai, Chun‐Jen Wang, Pin‐Chao Liao, Chin Shan Lue, Chia‐Nung Kuo, Le Vo Phuong Thuan, Po‐Hsuan Hsiao, Chang‐Hyun Kim, Chia‐Yun Chen   +8 more
wiley   +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

Solvent-controlled ion-coupled charge transport in microporous metal chalcogenides. [PDF]

Chem Sci, 2022
McKenzie J, Kempler PA, Brozek CK.
europepmc   +1 more source

Solvent mediated synthesis of metal chalcogenides. [PDF]

, 2000
This thesis is primarily concerned with the synthesis of binary and ternary transition metal and main-group metal chalcogenides (excluding oxides) at room temperature.
Shaw, Graham Andrew
core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source