Results 81 to 90 of about 17,878 (214)

The World is Flat: Modeling Educators’ Misconduct with Cellular Automata [PDF]

Misconduct in education is a serious problem internationally. As the education sector grows, so does the scale of misconduct. The large bureaucratic apparatus, overregulation, outdated and unclear rules, and poor audit create opportunities for abuse. The
Osipian, Ararat
core   +1 more source

Recent Advances of Microcapsule‐based Intelligent Coatings: From Bioinspired Designs, Material Selections, to Potential Applications

Advanced Science, EarlyView.
Microcapsule‐based intelligent coatings (MICs) have shown great potential in the fields of biomedicine, smart buildings, marine protection, and aerospace. However, they currently face challenges in the integration of coating functions and applications in complex systems.
Yue Zhao, Xiaopeng Cheng, Ran Zhao, Xipeng Li, Jingxin Meng, Shutao Wang   +5 more
wiley   +1 more source

Coverable Self‐Cleaning Glass via Abnormal Transport and Jump of Charged Particles

Advanced Science, EarlyView.
The abnormal reverse lateral transport behavior of charged particles is reported. The mechanism of transport and jump behaviors of charged particles is revealed. Furthermore, a transparent and simple self‐cleaning glass driven by the electric field is developed.
Meng Yang, Conglin Li, Wei Tang, Wenchao Gao, Weiguo Weng, Yingchun Wu, Yifan Wang, Chenghang Zheng, Xiang Gao   +8 more
wiley   +1 more source

State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective

Advanced Energy Materials, EarlyView.
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem, Leon L. Shaw, Zhiqian Chen, Wei Lai   +3 more
wiley   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Assessing cellular automata based models using partial differential equations [PDF]

, 2004
A. Doeschl, Ames, Ashmore, Cartwright, Coulthard, Davison, Doeschl, Dresner, Engelund, Enright, Ermentrout, G. Reid, H. Rasmussen, Johnson, Logan, M. Davison, McArdell, Murray, Murray, Murray, Murray, Paola, Sapozhnikov, Smith, Tetzlaff, Wolfram   +25 more
core   +1 more source

Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning

Advanced Energy Materials, EarlyView.
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela, G. Tosato, M. Ahmad, M. Wieler, A. Koeppe, B. Nestler, D. Schneider   +6 more
wiley   +1 more source

A Multiscale Pore Analysis Method for Polymer Electrolyte Membrane Fuel Cell Catalyst Layers Validated and Exemplified by Correlating Microstructure with Production Process Parameters

Advanced Energy and Sustainability Research, EarlyView.
A multiscale pore analysis method is presented for polymer electrolyte membrane fuel cell catalyst‐coated membranes (CCMs), integrating mercury intrusion porosimetry, focused ion beam scanning electron microscopy image analysis via a custom MATLAB tool, and optical/atomic‐force microscopy.
Ahammed Suhail Odungat, Lars Grebener, Oliver Pasdag, Thai Binh Nguyen, Yawen Zhu, Sebastian Kohsakowski, Ivan Radev, Fatih Özcan, Doris Segets   +8 more
wiley   +1 more source

Machine Learning for Organic Fluorescent Materials

Aggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong, Wei Zhu, Shoutao Shen, Nan Zhou, Meiyang Xi, Kui Du, Dong Wang, Ben Zhong Tang   +7 more
wiley   +1 more source

Hybrid rule‐based and optimization‐driven framework for the synthesis of end‐to‐end optimal pharmaceutical processes

AIChE Journal, EarlyView.
Abstract The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batch, continuous, or hybrid (containing both ...
Yash Barhate, Daniel J. Laky, Daniel Casas‐Orozco, Gintaras V. Reklaitis, Zoltan K. Nagy   +4 more
wiley   +1 more source