Results 151 to 160 of about 3,439 (221)

Unpacking the Farmland Capitalization Effect of Ethanol Establishment

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We unpack the impact of expansions in ethanol production—as measured by proximity to newly constructed ethanol plants and capacity expansions—on farmland values using land transaction data from Kansas in combination with modern causal inference techniques.
Gabriel S. Sampson, Jisang Yu
wiley   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa   +3 more
wiley   +1 more source

Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices

open access: yesAgribusiness, EarlyView.
ABSTRACT Voluntary private carbon initiatives (VPCIs) promote the implementation of agricultural conservation practices that mitigate emissions of greenhouse gases (GHGs) via financial incentives to participating farmers. Simultaneously, an array of public policies supports the adoption of conservation practices through technical and financial ...
Oranuch Wongpiyabovorn   +1 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy