Download "How Data Science is Changing R&D in Energy and Natural Resources"

This collection of published research from Elsevier Innovation Intelligence provides an in-depth look at how energy industry innovators are using data science to propel R&D.

Download now for access to the following articles:

A new hybrid approach model for predicting burst pressure of corroded pipelines of gas and oil. Engineering Failure Analysis, Volume 149, July 2023. Haonan Ma, Hantong Wang, Mengying Geng, Yibo Ai, Weidong Zhang, Wenyue Zheng.

Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature. Energy and Buildings, Volume 242, 1 July 2021. Mahmoud M. Abdelrahman, Sicheng Zhan, Clayton Miller, Adrian Chong.

A text mining framework for screening catalysts and critical process parameters from scientific literature – A study on Hydrogen production from alcohol. Chemical Engineering Research and Design, Volume 184, August 2022. Avan Kumar, Swathi Ganesh, Divyanshi Gupta, Hariprasad Kodamana.