Datasets

creator: Aihua Huang

Total is 2 Results
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

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)

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