Abstract: The Development of Machine Learning, Group Contribution and Molecular Modeling Approach to Screen Physical Solvents for Gas Separation (2018 AIChE Annual Meeting)

Wei Shi¹, Megan Macala², Robert L. Thompson³, Surya Tiwari⁴, Kevin P. Resnik⁵, Nicholas Siefert⁴ and David Hopkinson⁶, (1)National Energy Technology Laboratory, U.S. Department of Energy, Pittsburgh, PA, (2)NETL/AECOM, Pittsburgh, PA, (3)National Energy Technology Laboratory, (4)National Energy Technology Laboratory, Pittsburgh, PA, (5)URS - US DOE/NETL, Pittsburgh, PA, (6)National Energy Technology Laboratory, Morgantown, WV

See more of this Session: Analysis and Design of Carbon Dioxide Capture Technologies for Power Generation
See more of this Group/Topical: Topical Conference: Advances in Fossil Energy R&D

519751 The Development of Machine Learning, Group Contribution and Molecular Modeling Approach to Screen Physical Solvents for Gas Separation