Results 231 to 240 of about 397,119 (307)

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Time series prediction model using LSTM-Transformer neural network for mine water inflow. [PDF]

Sci Rep
Shi J, Wang S, Qu P, Shao J.
europepmc   +1 more source

Prediction analysis of human brucellosis cases in Ili Kazakh Autonomous Prefecture Xinjiang China based on time series [PDF]

Lu Lian, Tongxia Yang, Zhisheng Chen, Qidi Ge, Jing Yang, Gan Sen   +5 more
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Time Series Prediction of Gas Emission in Coal Mining Face Based on Optimized Variational Mode Decomposition and SSA-LSTM. [PDF]

Sensors (Basel)
Zhang J, Cui Y, Yan Z, Huang Y, Zhang C, Zhang J, Guo J, Zhao F.   +7 more
europepmc   +1 more source

Enhancing Direct Solar Water Splitting via ALD of Multifunctional TiO2/Pt Nanoparticle Coatings With Engineered Interfaces to GaAs/GaInP Tandem Cells

Advanced Functional Materials, EarlyView.
Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth, Verena Streibel, Oliver Bienek, Sergej Levashov, Johannes Dittloff, Kristof Möller, Johanna Eichhorn, Matthias M. May, Ian D. Sharp   +8 more
wiley   +1 more source

Research on time series prediction of multi-process based on deep learning. [PDF]

Sci Rep
Zheng H, Cao Y, Sun D, Wang M, Yan B, Ye C.   +5 more
europepmc   +1 more source

Trending Topic Prediction in Thai Internet Forum using Time Series Analysis

openalex   +1 more source

Financial-Economic Time Series Modeling and Prediction Techniques – Review [PDF]

, 2014
Nataša Koceska, Sašo Koceski
openalex  

2D Multifunctional Spin‐Orbit Coupled Dirac Nodal Line Materials

Advanced Functional Materials, EarlyView.
A total of 473 nonmagnetic and antiferromagnetic 2D spin‐orbit coupled Dirac nodal line materials are screened, spanning 5 layer groups and 12 magnetic space groups. Furthermore, it integrates their topological properties with electride, multiferroic, and magnetic characteristics, revealing unique systems with expanded functionalities and promising ...
Weizhen Meng, Ying Liu, Jialin Gong, Yalong Jiao, Xiaoming Zhang, Wenxian Li, Zhenxiang Cheng, Tie Yang   +7 more
wiley   +1 more source