Publications

1. Z Li, M Patrascu, Beyond ideal selectivity: Systematic reactor and process design of RWGS membrane reactors for low-temperature CO2 conversion, Chemical Engineering and Processing – Process Intensification, 229 (2026), 111040.
2. D Yadav, R Dawidowicz, M Kumar, M Patrascu, Impact of Mass Transport Limitations on the Performance of Plate-Type Membrane Reactors for On-Board Hydrogen Production by Methanol Steam Reforming. Journal of Industrial & Engineering Chemistry, 162 (2026), 576-593.
3. M Patrascu, D Meuti, O Galant, S Nijem, C E Diesendruck, A Casagrande, E Colacino, M Felderhof, S Spatari, Sustainable Pharmaceutical Manufacturing based on Mechanochemistry: A Life Cycle Assessment of Ibuprofen-Nicotinamide Cocrystallization Routes. Sustainable Chemistry and Pharmacy, (2026).
4. B Sharma, S Li, C Xi, P Yu, M Patrascu, S Peng, M Kumar, A simulative study of flex-fuel methanol-ammonia blends: Extended cold start performance and emission analysis in spark-ignition engines. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, (2026).
5. S Abdalla, M Patrascu, Toward Dual-Purpose Water-Energy Systems: Modeling Hydrogen Oxygen Desalination Fuel Cells. Electrochimica Acta, 544, (2025), 147646.
6. J Shen, J Dai, S Gao, Z Ma, S Li, M Patrascu, X Gao, Multiscale Modeling of Plastic Pyrolysis in a Fluidized Pyrolyzer with NN-Inspired Kinetics and Experimental Validation. ACS Sustainable Chemistry & Engineering, 13, 42, (2025), 17779–17793.
7. R Dawidowicz, P Tershchuck, M Patrascu, Electric field-driven intensification of palladium membrane separators and reactors: A multi-scale computational study. Journal of Membrane Science, 736, (2025), 124657.
8. Z Li, A Uziri, Z Aghayev, B Beykal, M Patrascu, Insights on CO2 Utilization through Reverse Water Gas Shift Reaction in Membrane Reactors: A Multi-scale Mathematical Modeling Approach. Syst Control Trans, 4, (2025), 692-697.
9. B Wang, Z Ma, S Li, J Dai, M Patrascu, X Gao, Experiment investigation and multiscale modeling of biomass oxidative fast pyrolysis in a fluidized bed reactor, Chemical Engineering Journal 501,(2024), 157546.
10. J Shen, J Dai, H Lin, S Li, S Gao, Y Cheng, M Patrascu, X Gao, Multiscale Modeling of Plastic Pyrolysis with a Neural Network-Inspired Pyrolysis Kinetic Model and Coarse-Grained DEM-CFD, Industrial & Engineering Chemistry Research 63 (28), (2024), 12688-12703.
11. S Abdalla, A Asokan, ME Suss, M Patrascu, DSA Simakov, Proof-of-Concept of the Integrated Methanol Reforming-Desalination Fuel Cell System: Effect of CO2 and CO on Cell’s Performance, Industrial & Engineering Chemistry Research 63 (22), (2024), 9914-9921.
12. B Wang, J Dai, S Li, Y Lin, M Patrascu, X Gao, Coupling coarse grained DEM-CFD and intraparticle model for biomass fast pyrolysis simulation and experiment validation, AIChE J.  70 (5), (2024), e18393.
13. R. Dawidowicz, M. Patrascu, Methanol compared to other fuels for on-board hydrogen production in thermally balanced membrane reactors with internal recycle, Chem. Eng. Process. – Process Intensif., 198 (2024), 109714.
14. O Galant, A Aborome, A S McCalmont, S L James, M Patrascu, S Spatari, LCA as a tool to detect environmental “Hot Spots” in early-stage mechanochemical synthesis of organic dyes, ACS Sustain. Chem. Eng, 11, 32, (2023), 12155-12165.
15. M. Patrascu, G. Vilé, Q. Xiong, M. Bracconi, D. V. Pinjari, M. O. Coppens, Voices of the next generation of Process Intensification. Chem. Eng. Process. – Process Intensif., (2023), 109445.
16. M. Patrascu, Process intensification for decentralized production, Chem. Eng. Process. – Process Intensif., 184 (2023), 109291.
17. M. Patrascu, P. I. Barton, Nonsmooth modeling for simulation and optimization of continuous pharmaceutical manufacturing processes, in Optimization of Pharmaceutical Processes, Springer, Cham, (2022), 231-252.

Before joining the Technion:

• M. Patrascu, P. I. Barton, Optimal dynamic continuous manufacturing of pharmaceuticals with recycle, Ind. Eng. Chem. Res., 58, 30, (2019), 13423-13436.
• M. Patrascu, P. I. Barton, Optimal campaigns in end-to-end continuous pharmaceuticals manufacturing. Part 1: Nonsmooth dynamic modeling, Chem. Eng. Process. 125C (2018) 298-310. 
• M. Patrascu, P. I. Barton, Optimal campaigns in end-to-end continuous pharmaceuticals manufacturing. Part 2: Dynamic optimization, Chem. Eng. Process. 125C (2018) 124-132.
• P. Stechlinsky, M. Patrascu, P. I. Barton, Nonsmooth DAEs with applications in modeling phase changes, in Differential-Algebraic Equations Forum. Springer, Berlin, Heidelberg (2018).
• P. Stechlinsky, M. Patrascu, P. I. Barton, Nonsmooth differential-algebraic equations in chemical engineering, Comput. Chem. Eng. 114 (2018) 52-68.
• M. Shoham Patrascu, P. I. Barton, Dynamic optimization of continuous manufacturing of pharmaceuticals, in Comput. Aided Chem. Eng., Elsevier, 40 (2017) 2803-2808.
• M. Shoham Patrascu, M. Sheintuch, Multi-fuel scaled-down autothermal H2 generator: Design and proof of concept, AIChE J. 62(6) (2016) 2112-2125.M. Patrascu, M. Sheintuch, Design concepts of a scaled-down autothermal membrane reformer for on board hydrogen production, Chem. Eng. J. 282 (2015) 282 123-136.
• M. A. Murmura, M. Patrascu, M. C. Annesini, V. Palma, C. Ruocco, M. Sheintuch, Directing selectivity of ethanol steam reforming in membrane reactors, Int. J. Hydrogen Energy 40 (2015) 5837-5848.
• M. Patrascu, M. Sheintuch, On-site pure hydrogen production by methane steam reforming in high flux membrane reactor: Experimental validation, model predictions and membrane inhibition, Chem. Eng. J. 262 (2015) 862-874.
• H. Haick, M. Hakim, M. Patrascu, C. Levenberg, N. Shehada, F. Nakhoul, A. Abassi, Sniffing chronic renal failure in rat model by an array of random networks of single-walled carbon nanotubes, ACS nano 3(5) (2009) 1258-66.