Results 141 to 150 of about 26,251,070 (268)

AI‐Assisted Ultrasensitive Biosensing using Metal‐Electrolyte‐Metal‐Insulator‐Silicon Structure Based on Oxygen‐Tunable Iridium Oxide Nanonets for Lysyl‐Oxidase‐Like‐2 Breast Cancer Detection

Advanced Electronic Materials, EarlyView.
An oxygen‐controlled iridium‐oxide (IrOx) nano‐net structure is developed to enhance the sensitivity of metal‐electrolyte‐metal‐insulator‐silicon (MEMIS) biosensors. Integrated with a deep learning model, this platform achieves a high accuracy of 94.8% for detecting the breast cancer biomarker LOXL2.
Chiao‐Fan Chiu, Pankaj Kumar, Long Nguyen Minh Le, Ping‐Hsuan Wu, Punnatorn Boonyoung, Shen Tingyang, Abhijit Aich, Yi‐Pin Chen, Shih‐Yin Huang, Siddheswar Maikap   +9 more
wiley   +1 more source

Subordination and Superordination for Multivalent Functions Dened by Linear Operators

, 2016
[[abstract]]Numerous linear operators were introduced in geometric function theory and the properties of functions dened by them were derived using a recurrence relation satised by them.
Virendra Kumar, V. Ravichandran, S. Sivaprasad Kumar   +2 more
core  

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Electrified Acetylene Removal From Ethylene Streams Enabled by Facet‐Engineered Cu–TiO2 Interfaces

Angewandte Chemie, EarlyView.
Facet‐engineered interfaces enable selective electrochemical acetylene removal from ethylene streams. Dispersed Cu nanoclusters on the titania {001} facet suppress hydrogen and coupling byproducts, while stabilizing key hydrogenation intermediates.
Aocheng Hu, Zhen Liu, Laichun Zhao, Rui Guo, Qinjian Luo, Bufeng Zhang, Shuaijun Pan   +6 more
wiley   +2 more sources

HANKEL DETERMINANT FOR p-VALENT STARLIKE AND CONVEX FUNCTIONS OF ORDER

, 2015
. The objective of this paper is to obtain an upper bound to the second Hankel determinant jap+1ap+3 a2p+2j for p-valent starlike and convex functions of order , using Toeplitz determinants.
D. Vamshee Krishna, T. Ramreddy
core  

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

An Iridium Distannylidyne – Expanding the Scope of Tetrylidyne Transition Metal Coordination Chemistry

Angewandte Chemie, EarlyView.
This work presents the synthesis, characterization, and reactivity of an iridium distannylidyne as the first heavy transition metal ditetrylidyne. Characterized by its short Ir─Sn bonds and linear bonding angles at the tin atoms, this compound displays versatile reactivity toward carbon dioxide and trimethylsilyl azide.
Lennart G. Holzapfel, Eric Hinssen, Stefan F. Miehe, Klaus Eichele, Hartmut Schubert, Christian P. Sindlinger, Lars Wesemann   +6 more
wiley   +2 more sources

On convolution properties for certain classes of p-valent meromorphic functions defined by linear operator [PDF]

, 2014
In this paper, by making use of convolution, we obtain some interesting results for certain family of meromorphic p-valent functions defined by new linear operator.   
M. K. Aouf, Mostafa, Adela, Adela Mostafa, Aouf, M. K.   +3 more
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Molecular Details of RNA Interactions With FUS Condensates Altering Assembly, Dynamics, and Aggregation

Angewandte Chemie, EarlyView.
Using NMR and molecular simulations, we map how RNA engages FUS LC‐RGG1 within condensates through electrostatic, π‐stacking, and polar contacts. These multivalent RNA contacts help stabilize RNA within FUS condensates while also reshaping condensate composition and dynamics.
Tongyin Zheng, Kandarp A. Sojitra, Samara Cummings, Qizan Chen, Priyesh Mohanty, Jeetain Mittal, Nicolas L. Fawzi   +6 more
wiley   +2 more sources