Resources (1-2 of 2)

1. 

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

   2020-09-03 20:26:49 | Datasets | Contributor(s): Sidi Deng, Xiaoyu Zhou, Aihua Huang, Yuehwern Yih, John W. Sutherland | doi:10.4231/E80W-7941

   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.

   https://purr.purdue.edu/publications/3601

2. 

   Global Semiconductor Manufacturing Water Withdrawals

   2019-02-26 21:03:29 | Datasets | Contributor(s): Kali D Frost, Inez Hua | doi:10.4231/NYGF-BH18

   This study estimates and displays Tier 1 (direct manufacturing) and Tier 2 (electricity-related) water withdrawals by the semiconductor manufacturing industry. Scarcity-weighted withdrawals are also summarized by facility and watershed.

   https://purr.purdue.edu/publications/3106