Results 181 to 190 of about 21,242 (297)

Mitigating Structural Degradation in O3‐Layered Sodium‐Ion Cathodes: Insights from Mg Doping in NaNi0.2Fe0.4Mn0.4O2

Advanced Energy Materials, EarlyView.
Selective Mg doping in O3‐layered NaNi0.2Fe0.4Mn0.4O2 unlocks fast Na⁺ transport, stable anionic redox, and structural resilience. At 5% substitution, the cathode delivers improved capacity retention and high‐rate performance, while suppressing oxygen loss.
Akanksha Joshi, Amreen Bano, Sandipan Maiti, Arun Krishnan, Aleksandr Kondrakov, Shubham Patel, Roman R. Kapaev, Tatiana K. Zakharchenko, Nicole Leifer, Dan Thomas Major, Doron Aurbach, Malachi Noked   +11 more
wiley   +1 more source

Unifying Sequential Quadratic Programming and Linear-Parameter-Varying Algorithms for Real-Time Model Predictive Control [PDF]

Kristóf Floch, Amon Lahr, Roland Tóth, Melanie N. Zeilinger   +3 more
openalex   +1 more source

Quantifying the land‐use change due to soybean‐based biodiesel in the United States

Applied Economic Perspectives and Policy, EarlyView.
Abstract We quantify the impact of soybean oil‐based biodiesel production on US cropland, using a method that accounts for the intermediate effect of soybean crushing facilities. Based on U.S. Environmental Protection Agency data for biodiesel production and proprietary data for soybean crushing facilities over 2011–2020, we find that the elasticities ...
Ruiqing Miao, Yijia Li, Madhu Khanna, Christopher Clark, Dallas Burkholder, Luoye Chen   +5 more
wiley   +1 more source

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

Optimizing Investment Portfolios Using Quadratic Programming: An Approach from the Markowitz Model

Ferdinand Eddington Ceballos Bejarano, Sushil Regmi, Judid Carina Viza Huayllaso   +2 more
openalex   +2 more sources

Memetic computing through bio-inspired heuristics integration with sequential quadratic programming for nonlinear systems arising in different physical models. [PDF]

Springerplus, 2016
Raja MA, Kiani AK, Shehzad A, Zameer A.
europepmc   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Inexact sequential quadratically constrained quadratic programming methods for convex programming

, 2013
惇志 加藤
openalex   +1 more source