Toward Automated Inventory Modeling in Life Cycle Assessment: The Utility of Semantic Data Modeling to Predict Real-World Chemical Production.

Mittal VK, Bailin SC, Gonzalez MA, Meyer DE, Barrett WM, Smith RL. Toward Automated Inventory Modeling in Life Cycle Assessment: The Utility of Semantic Data Modeling to Predict Real-World Chemical Production. ACS Sustain Chem Eng. 2017 Dec 06; 6(2):1961-1976.

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Michael J Gonzalez

RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

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