Results 101 to 110 of about 384,953 (220)

Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters

Advanced Electronic Materials, EarlyView.
Design of Experiment and machine learning regression models are leveraged to analyze four process parameters (thickness, pore ratio, applied force, and frequency) of a contact‐separation triboelectric nanogenerator with graphene‐PDMS and aluminum layers using experimental data for the validation of predicted performance and the optimization of the ...
Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim   +6 more
wiley   +1 more source

Softening of Vibrational Modes and Anharmonicity Induced Thermal Conductivity Reduction in a‐Si:H at High Temperatures

Advanced Electronic Materials, EarlyView.
This study developed a neuroevolution machine learning potential of both a‐Si:H and a‐Si systems, and revealed that the softening of vibrational modes and enhanced anharmonicity contribute to the reduction in thermal conductivity with increasing temperature and hydrogen concentration.
Zhuo Chen, Yuejin Yuan, Yanzhou Wang, Penghua Ying, Shouhang Li, Cheng Shao, Wenyang Ding, Gang Zhang, Meng An   +8 more
wiley   +1 more source

Fe‐N‐C in Proton Exchange Membrane Fuel Cells: Impact of Ionomer Loading on Degradation and Stability

Advanced Energy Materials, EarlyView.
The impact of the ionomer to catalyst ratio for atomic Fe in N‐doped C (Fe‐N‐C) degradation in proton exchange membrane fuel cells is elucidated by advanced electrochemical techniques. Kinetic degradation dominants, with the reduction in turnover frequency of FeNx active sites initially suppressed with increasing ionomer loading.
Angus Pedersen, Rifael Z. Snitkoff‐Sol, Yan Presman, Laetitia Dubau, Rongsheng Cai, Jesús Barrio, Sarah J. Haigh, Frédéric Maillard, Ifan E. L. Stephens, Maria‐Magdalena Titirici, Lior Elbaz   +10 more
wiley   +1 more source

Screening and Development of Sacrificial Cathode Additives for Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
This work presents a computational screening approach to identify Li‐rich transition‐metal oxide sacrificial cathode additives and provides experimental validation of antifluorite‐structured Li6MnO4 as a potential candidate. Abstract This work presents a computational screening approach to identify Li‐rich transition‐metal oxide sacrificial cathode ...
Haegyeom Kim, KyuJung Jun, Nathan Szymanski, Venkata Sai Avvaru, Zijian Cai, Matthew Crafton, Gi‐Hyeok Lee, Stephen E. Trask, Finn Babbe, Young‐Woon Byeon, Peichen Zhong, Donghun Lee, Byungchun Park, Wangmo Jung, Bryan D. McCloskey, Wanli Yang   +15 more
wiley   +1 more source

Heterogeneity of the Dominant Causes of Performance Loss in End‐of‐Life Cathodes and Their Consequences for Direct Recycling

Advanced Energy Materials, EarlyView.
Direct recyling of Li‐ion battery materials promises a low‐cost path towards a secure domestic supply of critical materials for batteries. Using cathode material from an end‐of‐life commercial Li‐ion cell, this work identifies the primary degradation mechanisms that diminish the performance of directly reused cathode materials and includes a discussion
Melissa Popeil, Francois L.E. Usseglio‐Viretta, Xiaofei Pu, Paul Gasper, Nikita Dutta, Evelyna Wang, Eva Allen, John S. Mangum, Nathaniel Sunderlin, Kae Fink, Jeffery M. Allen, Peter J. Weddle, Steven C. DeCaluwe, Donal P. Finegan   +13 more
wiley   +1 more source

Spatially Regulated Gas Flow Control for Batch‐Drying of Large Area Slot‐Die‐Coated Perovskite Thin Films

Advanced Energy Materials, EarlyView.
Innovations are crucial for transferring high power conversion efficiencies (PCEs) to large‐scale perovskite devices. Here, a 2D regulated gas flow control for batch‐drying of slot‐die‐coated perovskite films is introduced. This drying method achieves homogeneous, pinhole‐free large‐area perovskite/silicon tandem solar cells and perovskite solar ...
Kristina Geistert, Ronja Pappenberger, Philip Scharfer, Philipp Cavadini, Wilhelm Schabel, Faranak Sadegh, David B. Ritzer, Bahram Abdollahi Nejand, Ulrich W. Paetzold   +8 more
wiley   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

Enhancing relative humidity modelling using L2 regularization updates. [PDF]

Sci Rep
Yahia AB, Kadir I, Abdallaoui A, El-Hmaidi A.   +3 more
europepmc   +1 more source

Dynamic site‐interconversion reduces the induction period of methanol‐to‐olefin conversion

AIChE Journal, EarlyView.
Abstract Reaction–diffusion coupling across the catalyst pore, grain, pellet, and reactor bed has been studied using a particle‐resolved transient microkinetic model applied to temperature‐programmed desorption and step‐response studies of methanol and dimethyl ether conversion over ZSM‐5 catalysts, respectively.
Toyin Omojola
wiley   +1 more source