Results 171 to 180 of about 11,307,335 (373)

Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing

open access: yesCarbon Energy, EarlyView.
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu   +9 more
wiley   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Measuring equality of opportunity by Shapley value [PDF]

open access: yes
Equality of opportunity is a political ideal which requires that ex-ante inequalities, and only those inequalities, should be eliminated. Justice requires leveling the playing field by rendering everyone's opportunities equal in an appropriate sense, and
Giuseppe Pignataro
core  

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza   +3 more
wiley   +1 more source

Shapley Bargaining and Merger Incentives in Network Industries with Essential Facilities [PDF]

open access: yes
Shapley value, Merger, Network Industry, Essential ...
Jeon, Seonghoon
core  

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim   +5 more
wiley   +1 more source

The Shapley value for a fair division of group discounts for coordinating cooling loads. [PDF]

open access: yesPLoS One, 2020
Maleki S   +7 more
europepmc   +1 more source

Sequential Bilateral Bargaining and the Shapley value [PDF]

open access: yes
We extend Ilya Segal's work on bilateral contracting in the presence of externalities to the case of bilateral bargaining in the presence of externalities.
Catherine de Fontenay, Joshua Gans
core  

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