Results 121 to 130 of about 1,741,508 (326)

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

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

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

Advanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan, Karuppasamy Dharmaraj, Thorsten Schultz, Leiqiang Qin, Ningjun Chen, Danielle A. Douglas‐Henry, Bastian Schmiedecke, Merve Buldu‐Akturk, Axel Zuber, Iris Dorbandt, Maximilian Reinhardt, Yael Rodriguez‐Ayllon, Yan Lu, Valeria Nicolosi, Norbert Koch, Johanna Rosen, Michelle P. Browne   +16 more
wiley   +1 more source

Multidisciplinary problem-based industrial engineering project [PDF]

, 2007
The new paradigm for engineering education nowadays expects new engineering graduates from universities to have more qualifications in both technical and enterprising skills.
Kuptasthien, Natha
core  

Engineering Porous Hollow Metal‐Poly(Heptazine Imide) Spheres: An Optimized Synthetic Strategy for Controlling Surface, Morphology, and Properties

Advanced Functional Materials, EarlyView.
Hollow poly(heptazine imide) spheres are prepared through a novel approach that integrates hard templating with ionothermal synthesis. This method enables precise control over surface area, pore volume, hydrophilicity, light absorption, band position, and metal composition. These tunable properties facilitate the customized design of semiconductors for
Lingli Ni, Erik Troschke, Henrik Vorwerk, Shiva Shahbazi Avarvand, Andreas Stihl, Nadzeya Brezhneva, Marius Hermesdorf, Desirée Leistenschneider, Felix H. Schacher, Jacob Schneidewind, Martin Oschatz   +10 more
wiley   +1 more source

The influence of covid-19 on industrial work practices of building engineering students in vocational school

JPPI (Jurnal Penelitian Pendidikan Indonesia)
This research was conducted to determine the magnitude of the influence of COVID-19 on the implementation of Industrial Work Practices for Building Engineering students of SMKN 1 West Sumatra.
Jonni Mardizal, Rezo Haristama Narwansyah, Palmizal Palmizal, Samsudin Samsudin   +3 more
doaj   +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

Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review

Applied System Innovation
This paper presents a comprehensive review of machine learning (ML) and deep learning (DL) models used for demand forecasting in supply chain management.
Kaoutar Douaioui, Rachid Oucheikh, Othmane Benmoussa, Charif Mabrouki   +3 more
doaj   +1 more source

Unassisted Photoelectrochemical Hydrogen Production Coupled with Selective Glucose Oxidation Using Metal Halide Perovskite Photoanodes

Advanced Functional Materials, EarlyView.
A metal halide perovskite‐based photoanode integrated with a CoNiFe layered double hydroxide (LDH) cocatalyst is reported for selective glucose oxidation reaction (GOR), achieving simultaneous and unassisted photoelectrochemical hydrogen production. This system delivers high photocurrent density, excellent Faradaic efficiency of GOR, and strong techno ...
Shujie Zhou, Xu Liu, Michael Gunawan, Yihao Shan, Ming Zhang, Shaine Lucas, Adhi Satriyatama, Denny Gunawan, Ao Wang, Xiaojie Yuan, Kaiwen Sun, Rose Amal, Xiaojing Hao   +12 more
wiley   +1 more source

Towards safer steel operations with a multi model framework for accident prediction and risk assessment simulation

Scientific Reports
This research concentrates on an introduction of a multi-model approach integrating Bayesian Networks (BN), Machine Learning (ML) models, Natural Language Processing (NLP) with Sentiment Analysis, Agent-Based Modeling (ABM), and Survival Analysis to ...
Shatrudhan Pandey, Abhishek Kumar Singh, Shreyanshu Parhi, Sanjay Kumar Jha   +3 more
doaj   +1 more source