Publications

Lansford, J. . L., & Vlachos, D. . G. (2020). Spectroscopic Probe Molecule Selection Using Quantum Theory, First-Principles Calculations, and Machine Learning. ACS Nano, 14, 17295–17307. https://doi.org/https://doi.org/10.1021/acsnano.0c07408 (Original work published 2025)

Fernandez Rivas, D. ., Boffito, D. . C., Faria-Albanese, J. ., Glassey, J. ., Afraz, N. ., Akse, H. ., … Weber, R. . S. (2020). Process intensification education contributes to sustainable development goals. Part 1. Education for Chemical Engineers, 32, 1-14. https://doi.org/10.1016/j.ece.2020.04.003 (Original work published 2025)

Fernandez Rivas, D. ., Boffito, D. . C., Faria-Albanese, J. ., Glassey, J. ., Cantin, J. ., Afraz, N. ., … Weber, R. . S. (2020). Process intensification education contributes to sustainable development goals. Part 2. Education for Chemical Engineers, 32, 15-24. https://doi.org/10.1016/j.ece.2020.05.001 (Original work published 2025)

Manoharan, S. ., Lee, K. ., Freiberg, L. ., Coblyn, M. ., Jovanovic, G. ., & Paul, B. . K. (2019). Comparing the economics of metal additive manufacturing processes for micro-scale plate reactors in the chemical process industry. Procedia Manufacturing, 34, 603-612. Pennsylvania: Elsevier B.V. https://doi.org/10.1016/j.promfg.2019.06.168

Tian, Y. ., Pappas, I. . S., Burnak, B. ., Katz, J. ., Avraamidou, S. ., Diangelakis, N. . A., & Pistikopoulos, E. . N. (2019). Towards a systematic framework for the synthesis of operational process intensification systems - Application to reactive distillation systems. 29th European Symposium on Computer-Aided Process Engineering (ESCAPE-29), 46, 73-78. Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-12-818634-3.50013-8

Demirel, S. . E., Li, J. ., & Hasan, M. . M. F. (2019). Sustainable Process Intensification Using Building Blocks. Computer Aided Chemical Engineering, 47, 157-162. Copper Mountain, CO. https://doi.org/10.1016/b978-0-12-818597-1.50025-4

Chang, C. . K., Tun, H. ., & Chen, C. . C. (2019). An activity-based formulation for Langmuir adsorption isotherm. Adsorption, 26, 375-386. https://doi.org/10.1007/s10450-019-00185-4

Hasan, M. . M. F., Demirel, S. . E., & Li, J. . (2019). A Building Block Approach to Process Intensification. Chemical Engineering Progress. Retrieved from https://www.aiche.org/resources/publications/cep/2019/march/building-block-approach-process-intensification (Original work published 2025)

Tula, A. . K., Eden, M. . R., & Gani, R. . (2019). Component based development of computer-aided tools for different applications. Computer Aided Chemical Engineering, 46, 91–96. https://doi.org/10.1016/B978-0-12-818634-3.50016-3 (Original work published 2025)

Polin, J. . P., Carr, H. . D., Whitmer, L. . E., Smith, R. . G., & Brown, R. . C. (2019). Conventional and autothermal pyrolysis of corn stover: Overcoming the processing challenges of high-ash agricultural residues. Journal of Analytical and Applied Pyrolysis, 143, 104679. https://doi.org/10.1016/j.jaap.2019.104679 (Original work published 2025)

Gorensek, M. . B., Shukre, R. ., & Chen, C.-C. . (2019). Development of a Thermophysical Properties Model for Flowsheet Simulation of Biomass Pyrolysis Processes. ACS Sustainable Chemistry and Engineering, 7, 9017-9027. https://doi.org/10.1021/acssuschemeng.9b01278 (Original work published 2025)

Yan, L. ., Edgar, T. . F., & Baldea, M. . (2019). Dynamic process intensification of binary distillation based on output multiplicity. AIChE Journal, 65, 1162-1172. https://doi.org/10.1002/aic.16506 (Original work published 2025)

Yusuf, S. ., Neal, L. ., Bao, Z. ., Wu, Z. ., & Li, F. . (2019). Effects of Sodium and Tungsten Promoters on Mg 6 MnO 8 -Based Core-Shell Redox Catalysts for Chemical Looping - Oxidative Dehydrogenation of Ethane. ACS Catalysis, 9, 3174-3186. https://doi.org/10.1021/acscatal.9b00164 (Original work published 2025)

Mohammadi, S. ., & Cremaschi, S. . (2019). Efficiency of Uncertainty Propagation Methods for Estimating Output Moments. Computer Aided Chemical Engineering, 47, 487-492. https://doi.org/10.1016/b978-0-12-818597-1.50078-3

Desir, P. ., Chen, T.-Y. ., Bracconi, M. ., Saha, B. ., Maestri, M. ., & Vlachos, D. . G. (2019). Experiments and computations of microfluidic liquid–liquid flow patterns. Reaction Chemistry & Engineering, 5, 39-50. https://doi.org/10.1039/c9re00332k (Original work published 2025)

Demirel, S. . E., Li, J. ., & Hasan, M. . M. F. (2019). A General Framework for Process Synthesis, Integration, and Intensification. Industrial & Engineering Chemistry Research, 58, 5950-5967. https://doi.org/10.1021/acs.iecr.8b05961 (Original work published 2025)

Tian, Y. ., & Pistikopoulos, E. . N. (2019). Generalized Modular Representation Framework for the Synthesis of Extractive Separation Systems. Computer Aided Chemical Engineering, 47, 475-480. https://doi.org/10.1016/b978-0-12-818597-1.50076-x

Wang, Z. ., Ma, C. ., Sinquefield, S. . A., Shofner, M. . L., & Nair, S. . (2019). High-Performance Graphene Oxide Nanofiltration Membranes for Black Liquor Concentration. ACS Sustainable Chemistry & Engineering, 7, 14915-14923. https://doi.org/10.1021/acssuschemeng.9b03113 (Original work published 2025)

Tula, A. . K., Eden, M. . R., & Gani, R. . (2019). Hybrid method and associated tools for synthesis of sustainable process flowsheets. Computers and Chemical Engineering, 131, 106572. https://doi.org/10.1016/j.compchemeng.2019.106572 (Original work published 2025)

Neal, L. . M., Haribal, V. . P., & Li, F. . (2019). Intensified Ethylene Production via Chemical Looping through an Exergetically Efficient Redox Scheme. IScience, 19, 894-904. https://doi.org/10.1016/j.isci.2019.08.039 (Original work published 2025)

Kaur, H. ., Tun, H. ., Sees, M. ., & Chen, C.-C. . (2019). Local composition activity coefficient model for mixed-gas adsorption equilibria. Adsorption, 25, 951-964. https://doi.org/10.1007/s10450-019-00127-0 (Original work published 2025)

Kim, S. . H., & Boukouvala, F. . (2019). Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques. Optimization Letters, 14, 989-1010. https://doi.org/10.1007/s11590-019-01428-7 (Original work published 2025)

Hüllen, G. ., Zhai, J. ., Kim, S. . H., Sinha, A. ., Realff, M. . J., & Boukouvala, F. . (2019). Managing Uncertainty in Data-Driven Simulation-Based Optimization. Computers & Chemical Engineering, 136, 106519. https://doi.org/10.1016/j.compchemeng.2019.106519 (Original work published 2025)

Yan, L. ., Edgar, T. . F., & Baldea, M. . (2019). Maximizing energy savings attainable by dynamic intensification of binary distillation. Studia Universitatis Babes-Bolyai Chemia, 64, 357-369. https://doi.org/10.24193/subbchem.2019.2.30 (Original work published 2025)

Ghayoor, M. ., Lee, K. ., He, Y. ., Chang, C.-H. ., Paul, B. . K., & Pasebani, S. . (2019). Microstructural Analysis of Additively Manufactured 304L Stainless Steel Oxide Dispersion Strengthened Alloy. Microscopy and Microanalysis, 25, 2594-2595. https://doi.org/10.1017/s1431927619013709 (Original work published 2025)

Tiwari, S. ., Caiola, A. ., Bai, X. ., Lalsare, A. ., & Hu, J. . (2019). Microwave Plasma-Enhanced and Microwave Heated Chemical Reactions. Plasma Chemistry and Plasma Processing, 40, 1-23. https://doi.org/10.1007/s11090-019-10040-7 (Original work published 2025)

Neal, L. ., Haribal, V. ., McCaig, J. ., Lamb, H. ., & Li, F. . (2019). Modular-scale ethane to liquids via chemical looping oxidative dehydrogenation: Redox catalyst performance and process analysis. Journal of Advanced Manufacturing and Processing, 1, e10015. https://doi.org/10.1002/amp2.10015 (Original work published 2025)

Tanveer, S. ., & Chen, C.-C. . (2019). Molecular thermodynamic modeling of aqueous Na + -K + -Mg 2+ -Ca 2+ -SO 42- quinary system. Fluid Phase Equilibria, 491, 77-87. https://doi.org/10.1016/j.fluid.2019.03.006 (Original work published 2025)

Dudek, R. . B., Tian, X. ., Blivin, M. ., Neal, L. . M., Zhao, H. ., & Li, F. . (2019). Perovskite oxides for redox oxidative cracking of n-hexane under a cyclic redox scheme. Applied Catalysis B: Environmental, 246, 30-40. https://doi.org/10.1016/j.apcatb.2019.01.048 (Original work published 2025)

Tula, A. . K., Eden, M. . R., & Gani, R. . (2019). ProCAFD: Computer-aided Tool for Sustainable Process Synthesis, Intensification and Hybrid solutions. Computer Aided Chemical Engineering, 46, 481-486. https://doi.org/10.1016/B978-0-12-818634-3.50081-3 (Original work published 2025)

Polin, J. . P., Peterson, C. . A., Whitmer, L. . E., Smith, R. . G., & Brown, R. . C. (2019). Process intensification of biomass fast pyrolysis through autothermal operation of a fluidized bed reactor. Applied Energy, 249, 276-285. https://doi.org/10.1016/j.apenergy.2019.04.154 (Original work published 2025)

Rover, M. . R., Aui, A. ., Wright, M. . M., Smith, R. . G., & Brown, R. . C. (2019). Production and purification of crystallized levoglucosan from pyrolysis of lignocellulosic biomass. Green Chemistry, 21, 5980-5989. https://doi.org/10.1039/c9gc02461a

Bielenberg, J. ., & Palou-Rivera, I. . (2019). The RAPID Manufacturing Institute – Reenergizing US efforts in process intensification and modular chemical processing. Chemical Engineering and Processing - Process Intensification, 138, 49-54. https://doi.org/10.1016/j.cep.2019.02.008 (Original work published 2025)

Tian, X. ., Dudek, R. . B., Gao, Y. ., Zhao, H. ., & Li, F. . (2019). Redox oxidative cracking of n-hexane with Fe-substituted barium hexaaluminates as redox catalysts. Catalysis Science and Technology, 9, 2211-2220. https://doi.org/10.1039/c8cy02530d (Original work published 2025)

Mirzababaei, S. ., & Pasebani, S. . (2019). A Review on Binder Jet Additive Manufacturing of 316L Stainless Steel. Journal of Manufacturing and Materials Processing, 3, 82. https://doi.org/10.3390/jmmp3030082 (Original work published 2025)

Caudle, B. . H., Gorensek, M. . B., & Chen, C.-C. . (2019). A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor. Journal of Advanced Manufacturing and Processing, 2. https://doi.org/10.1002/amp2.10031 (Original work published 2025)

Li, Q. ., Wang, Y. ., Skoptsov, G. ., & Hu, J. . (2019). Selective Hydrogenation of Acetylene to Ethylene over Bimetallic Catalysts. Industrial & Engineering Chemistry Research, 58, 20620-20629. https://doi.org/10.1021/acs.iecr.9b04604 (Original work published 2025)

Williams, B. . A., & Cremaschi, S. . (2019). Surrogate Model Selection for Design Space Approximation And Surrogate-model based Optimization. Computer Aided Chemical Engineering, 47, 353-358. https://doi.org/10.1016/b978-0-12-818597-1.50056-4

Tian, Y. ., & Pistikopoulos, E. . N. (2019). Synthesis of operable process intensification systems: advances and challenges. Current Opinion in Chemical Engineering, 25, 101-107. https://doi.org/10.1016/j.coche.2018.12.003 (Original work published 2025)

Tian, Y. ., & Pistikopoulos, E. . N. (2019). Synthesis of Operable Process Intensification Systems - Steady-State Design with Safety and Operability Considerations. Industrial and Engineering Chemistry Research, 58, 6049-6068. https://doi.org/10.1021/acs.iecr.8b04389 (Original work published 2025)

Tula, A. . K., Eden, M. . R., & Gani, R. . (2019). Systematic Method and Tool for Sustainable Process Synthesis, Design, Analysis and Innovation. Computer Aided Chemical Engineering, 47, 385-390. https://doi.org/10.1016/B978-0-12-818597-1.50061-8 (Original work published 2025)

Demirel, S. E., Li, J. ., & Hasan, M. F. (2019). Systematic process intensification. Current Opinion in Chemical Engineering, 25, 108-113. https://doi.org/10.1016/j.coche.2018.12.001 (Original work published 2019)

Li, J. ., Demirel, S. . E., & Hasan, M. . M. F. (2019). Systematic Process Intensification involving Zeotropic Distillation. Computer Aided Chemical Engineering, 47, 421-426. https://doi.org/10.1016/b978-0-12-818597-1.50067-9

Desir, P. ., Saha, B. ., & Vlachos, D. . G. (2019). Ultrafast flow chemistry for the acid-catalyzed conversion of fructose. Energy & Environmental Science, 12, 2463-2475. https://doi.org/10.1039/c9ee01189g (Original work published 2025)

Avraamidou, S. ., & Pistikopoulos, E. . N. (2019). A Multi-Parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems. Computers & Chemical Engineering, 125, 98-113. https://doi.org/https://doi.org/10.1016/j.compchemeng.2019.01.021 (Original work published 2025)

Avraamidou, S. ., & Pistikopoulos, E. . N. (2019). A Bi-Level Formulation And Solution Method For The Integration Of Process Design And Scheduling. Computer Aided Chemical Engineering, 47, 17-22. https://doi.org/10.1016/B978-0-12-818597-1.50003-5 (Original work published 2025)

Bai, X. ., Robinson, B. ., Killmer, C. ., Wang, Y. ., Li, L. ., & Hu, J. . (2019). Microwave catalytic reactor for upgrading stranded shale gas to aromatics. Fuel, 243, 485–492. https://doi.org/10.1016/j.fuel.2019.01.147 (Original work published 2025)

Brown, R. . C. (2019). Intensification of Fast Pyrolysis. Chemical Engineering Progress. Retrieved from https://www.aiche.org/sites/default/files/cep/20190623.pdf (Original work published 2025)

Tula, A. . K., Eden, M. . R., & Gani, R. . (2019). Computer‐aided process intensification: Challenges, trends and opportunities. AIChE Journal, 66, e16819. https://doi.org/10.1002/aic.16819 (Original work published 2025)

Touma, J. ., Freiberg, L. ., Coblyn, M. ., & Jovanovic, G. . (2019). Phase separation in an additively manufactured micro-separator for intensified solvent extraction: An eye on numbering-up. Computer Aided Chemical Engineering, 46, 91-96. https://doi.org/10.1016/B978-0-12-818634-3.50016-3 (Original work published 2025)