Bio
Dylan Weber graduated with his PhD in Chemical Engineering from Georgia Institute of Technology in December 2023, with a minor in numerical optimization. Dylan's work focused on modeling and simulation of industrial membrane processes utilizing complex mixtures. Specifically, he created membrane modeling and simulation tools to implement into process simulation environments such as AspenPlus. These tools are currently used by experimental collaborators for applications in organic solvent reverse osmosis and electrodialysis-based nutrient recovery from agricultural and municipal waste streams. He is currently working as a postdoctoral research associate at ORNL in process modeling and analysis focusing on techno-economic analysis and life-cycle analysis.
Education
PhD in Chemical Engineering at Georgia Institute of Technology, Class of 2023
BS in Chemical Engineering at Clemson University, Class of 2018
Other Publications
D.J. Weber, R. Mathias, R.P. Lively, J.K. Scott. “Improved Numerical Methods for Simulating Complex Mixture Transport Across Asymmetric Polymer Membranes using a Maxwell-Stefan Model.” Journal of Membrane Science 687, 121995 (2023).
Y.J. Lee†, L. Chen†, J. Nistane, H.Y. Jang, D.J. Weber, J.K. Scott, N.D. Rangnekar, B.D. Marshall, W. Li, J.R. Johnson, N.C. Bruno, M.G. Finn, R. Ramprasad, R.P. Lively. “Data-driven predictions of complex mixture permeation in polymer membranes.” Nature Communications 14, 4931 (2023). †Authors contributed equally.
C. J. Roos, D.J. Weber, H.Y. Jang, R.P. Lively. “Matching analysis of mixed matrix membranes for organic solvent reverse osmosis.” Industrial & Engineering Chemistry Research 61, 9, 3395–3411 (2022).
R. Mathias†, D.J. Weber†, K.A. Thompson, B.D. Marshall, M.G. Finn, J.K. Scott, R.P. Lively. “Framework for predicting the fractionation of complex liquid feeds via polymer membranes.” Journal of Membrane Science 640, 119767 (2021). †Authors contributed equally.