Results 121 to 130 of about 8,473 (273)

Defective CeO2/Copper Phthalocyanine S‐Scheme Heterojunctions With Molecular Copper Centers for Selective CO2‐To‐CO Photoconversion

Electron, EarlyView.
Defective CeO2/CuPc S‐scheme heterojunction featuring oxygen‐vacancy‐rich ceria nanorods and atomically dispersed Cu–N4 molecular centers. Built‐in electric field mediates efficient S‐scheme charge separation, accumulating strongly reductive electrons at copper sites for selective CO2‐to‐CO photoconversion (92.2% selectivity) via *COOH stabilization ...
Sharafat Ali, Sher Ali, Ahmed Ismail, Ahmad Iqbal, Yong Wang, Syedul Hasnain Bakhtiar, Shah Rahim, Amir Zada, Asad Ali, Fazal Raziq, Huabin Zhang, Jiabao Yi, Liang Qiao   +12 more
wiley   +1 more source

Sulfur‐Rich Sustainable Copolymers for Enhancing Redox Kinetics and Alleviating Cathode Passivation in Lithium‐Sulfur Batteries

Exploration, EarlyView.
A molecularly engineered, sustainable sulfur‐rich redox copolymer cathode delivers accelerated sulfur conversion and suppressed passivation, enabling high sulfur utilization and durable, high‐performance LiS batteries. ABSTRACT Lithium‐sulfur (Li‐S) batteries are promising candidates for advanced energy storage systems.
Sangeeta Sahu, Arnab Ghosh, Monisha Monisha, Murali Krishna, Shakir Ali Siddiqui, Sunan Tian, De‐Yi Wang, Sagar Mitra, Bimlesh Lochab   +8 more
wiley   +1 more source

Customizing 3D Hierarchically Macroporous Covalent Organic Framework Superstructures for Improved Biosensing Interface in Highly‐Sensitive Electrochemical Biosensors

Exploration, EarlyView.
The 3D hierarchically macroporous COF superstructure, which demonstrates enhanced mass and charge transfer along with superior substrate enrichment at the biosensing interface, serves as an advanced electrode material for enzyme immobilization.
Wenbo Wei, Sheng‐Hua Zhou, Dong‐Dong Ma, Qing Li, Mao‐Yin Ran, Shu‐Guo Han, Xiaofang Li, Minghong Huang, Qi‐Long Zhu   +8 more
wiley   +1 more source

A Novel Approach to Fast Discrete Fourier Transform

, 1998
Discrete Fourier transform (DFT) is an important tool in digital signal processing. In the present paper, we propose a novel approach to performing DFT.
Chan, FHY, Li, HF, Lam, FK, Liu, JQ
core   +1 more source

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

VLSI Design of Discrete Fourier Transform Processors

, 1991
A bit-serial cell library is presented which can been used to rapidly implement discrete Fourier transform algorithms in VLSI circuit technology. The design methodology employs systolic summation arrays and multiplier arrays which are bit-serial and ...
Goodrich, Todd A.
core  

The generalized discrete fourier transform for the computation of the DFT on large sets of data

, 1977
In this paper we consider a generalized form of the Discrete Fourier Transform (DFT), called Generalized Discrete Fourier Transform (GFT). Two fast algorithms are given that allow us to obtain a one-dimensional GFT by evaluating a proper multidimensional GFT.
Corsini P., Frosini G.
openaire   +2 more sources

Recent advances in Joule‐heating synthesis of functional nanomaterials for photo and electrocatalysis

PhotoMat, EarlyView.
This paper presents a comprehensive overview of recent advancements in Joule‐heating synthesis of photo and electrocatalysts, emphasizing its benefits and applications. The objective is to offer an effective strategy for enhancing the diversity and performance of catalytic materials.
Jiaqi Li, Laiyu Luo, Siyu Wang, Haojie Song, Baojiang Jiang   +4 more
wiley   +1 more source

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

Journal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Block Convolution Using Discrete Trigonometric Transforms and Discrete Fourier Transform

, 2008
We derive expressions for convolution multiplication properties of discrete cosine transform II (DCT II) starting from equivalent discrete Fourier transform (DFT) representations.
Suresh, K, Sreenivas, TV
core