Results 91 to 100 of about 9,678 (263)

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

open access: yesAdvanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo   +3 more
wiley   +1 more source

A comparison of parametric and nonparametric estimation methods for cost frontiers and economic measures

open access: yesJournal of Applied Economics, 2019
This article examines the empirical performance of alternative frontier estimators’ ability to replicate a known underlying technology and economic measures such as multi-product and product-specific economies of scale, and economies of scope.
Bryon J. Parman, Allen M. Featherstone
doaj   +1 more source

Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links

open access: yesAdvanced Science, EarlyView.
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

An Analysis of Bank Efficiency in the Middle East and North Africa

open access: yesThe International Journal of Banking and Finance, 2012
This paper reports institutional factor effects on bank efficiency in Middle Eastern and North African countries during a recent 14 years. The methods used are: Stochastic Frontier Analyses and second-stage Tobit regression to investigate the impact of ...
Saeid Eisazadeh, Zeinab Shaeri
doaj  

Voluntary Collective Action to Address Growing Agricultural Challenges in Two Countries: Experimental Insights and Commonalities

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We conducted two framed field economic experiments with citrus farmers in Florida, United States and soybean farmers in Argentina to investigate their willingness to coordinate pest and weed management efforts. Despite the contrast between these two agricultural contexts, we find striking behavioral commonalities.
Ariel Singerman, Sergio H. Lence
wiley   +1 more source

Effects of Outsourced Agricultural Extension Services on the Technical Efficiency and Financial Returns of Soybean Farms in Northern Cameroon

open access: yesAgribusiness, EarlyView.
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda   +3 more
wiley   +1 more source

Robust Nonparametric Stochastic Frontier Analysis

open access: yes
42 pages, 9 ...
Zheng, Peng   +6 more
openaire   +2 more sources

Deforestation and Efficiency: Insights From Forest Transition in the Brazilian Cerrado

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper estimates technical efficiency (TE) and environmental efficiency (EE) of agricultural production at the municipal level of the Brazilian Cerrado in 2006 and 2017, and investigates their underlying mechanisms in relation to forest transition theory.
Ricardo Muniz Simões   +2 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

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