Datasets

creator: Aihua Huang

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Applying Design of Experiments to Evaluate Economic Feasibility of Rare-Earth Element Recovery – Supporting Information

10.4231/TWYR-J604

Aihua Huang , David Reed , Hongyue Jin , Jesus Perez-Cardona , John Sutherland , Sidi Deng ORCID logo , Vicki Thompson , Yuehwern Yih

01/06/2020

Raw and simulated data, statistical analysis results for the paper "Applying Design of Experiments to Evaluate Economic Feasibility of Rare-Earth Element Recovery" submitted to 27th CIRP Life Cycle Engineering Conference.

Critical Materials Institute (CMI) Design of Experiment (DOE) Industrial Engineering Rare-Earth Element (REE) Techno-Economic Assessment (TEA)

Evaluating Economic Opportunities for Product Recycling via the Sherwood Principle and Machine Learning - Supporting Information

10.4231/E80W-7941

Aihua Huang , John W. Sutherland ORCID logo , Sidi Deng ORCID logo , Xiaoyu Zhou , Yuehwern Yih ORCID logo

09/03/2020

This repository contains the supporting information for the manuscript regarding Sherwood principle and Machine learning. All critical underlying data files, along with a flow chart that describes the methodologies applied in the paper are enclosed.

Circular Economy Empirical Models Environmental and Ecological Engineering Machine Learning Sherwood Principle

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