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Alexander Mitsos, Ph.D. - Publications

Affiliations: 
2014- AVT- Process Systems Engineering Rheinisch-Westfaelische Technische Hochschule, Aachen, NRW, Germany 
Website:
www.avt.rwth-aachen.de
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Year Citation  Score
2022 El Wajeh M, Jung F, Bongartz D, Kappatou CD, Ghaffari Laleh N, Mitsos A, Kather JN. Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans? Bulletin of Mathematical Biology. 84: 130. PMID 36175705 DOI: 10.1007/s11538-022-01075-7  0.754
2022 Biselli A, Echtermeyer A, Reifsteck R, Materla P, Mitsos A, Viell J, Jupke A. Investigation of the elution behavior of dissociating itaconic acid on a hydrophobic polymeric adsorbent using in-line Raman spectroscopy. Journal of Chromatography. A. 1675: 463140. PMID 35635868 DOI: 10.1016/j.chroma.2022.463140  0.75
2021 Liebal UW, Köbbing S, Netze L, Schweidtmann AM, Mitsos A, Blank LM. Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb. Frontiers in Bioinformatics. 1: 747428. PMID 36303772 DOI: 10.3389/fbinf.2021.747428  0.76
2021 Ackermann P, Braun KE, Burkardt P, Heger S, König A, Morsch P, Lehrheuer B, Surger M, Völker S, Blank LM, Du M, Heufer KA, Roß-Nickoll M, Viell J, von der Aßen N, ... Mitsos A, et al. Designed to Be Green, Economic, and Efficient: A Ketone-Ester-Alcohol-Alkane Blend for Future Spark-Ignition Engines. Chemsuschem. PMID 34623036 DOI: 10.1002/cssc.202101704  0.769
2021 Bremen AM, Ploch T, Mhamdi A, Mitsos A. A mechanistic model of direct forsterite carbonation Chemical Engineering Journal. 404: 126480. DOI: 10.1016/J.Cej.2020.126480  0.35
2020 Echtermeyer AWW, Marks C, Mitsos A, Viell J. EXPRESS: Inline Raman Spectroscopy and Indirect Hard Modeling for Concentration Monitoring of Dissociated Acid Species. Applied Spectroscopy. 3702820973275. PMID 33107761 DOI: 10.1177/0003702820973275  0.738
2020 Schneider S, Jung F, Mergel O, Lammertz J, Nickel AC, Caumanns T, Mhamdi A, Mayer J, Mitsos A, Plamper FA. Model-based design and synthesis of ferrocene containing microgels Polymer Chemistry. 11: 315-325. DOI: 10.1039/C9Py00494G  0.305
2020 Roh K, Bardow A, Bongartz D, Burre J, Chung W, Deutz S, Han D, Heßelmann M, Kohlhaas Y, König A, Lee JS, Meys R, Völker S, Wessling M, Lee JH, ... Mitsos A, et al. Early-stage evaluation of emerging CO2 utilization technologies at low technology readiness levels Green Chemistry. 22: 3842-3859. DOI: 10.1039/C9Gc04440J  0.479
2020 Schultz ES, Sheibat-Othman N, Mitsos A, Mhamdi A. Model-Based Optimization of Semibatch Emulsion Polymerization of Styrene Industrial & Engineering Chemistry Research. 59: 16368-16379. DOI: 10.1021/Acs.Iecr.0C02771  0.323
2020 Rall D, Schweidtmann AM, Kruse M, Evdochenko E, Mitsos A, Wessling M. Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning Journal of Membrane Science. 608: 118208. DOI: 10.1016/J.Memsci.2020.118208  0.342
2020 Rall D, Schweidtmann AM, Aumeier BM, Kamp J, Karwe J, Ostendorf K, Mitsos A, Wessling M. Simultaneous rational design of ion separation membranes and processes Journal of Membrane Science. 600: 117860. DOI: 10.1016/J.Memsci.2020.117860  0.317
2020 Vaupel Y, Hamacher NC, Caspari A, Mhamdi A, Kevrekidis IG, Mitsos A. Accelerating nonlinear model predictive control through machine learning Journal of Process Control. 92: 261-270. DOI: 10.1016/J.Jprocont.2020.06.012  0.322
2020 Caspari A, Tsay C, Mhamdi A, Baldea M, Mitsos A. The integration of scheduling and control: Top-down vs. bottom-up Journal of Process Control. 91: 50-62. DOI: 10.1016/J.Jprocont.2020.05.008  0.387
2020 Caspari A, Offermanns C, Ecker A, Pottmann M, Zapp G, Mhamdi A, Mitsos A. A wave propagation approach for reduced dynamic modeling of distillation columns: Optimization and control Journal of Process Control. 91: 12-24. DOI: 10.1016/J.Jprocont.2020.05.004  0.389
2020 Huster WR, Schweidtmann AM, Mitsos A. Globally optimal working fluid mixture composition for geothermal power cycles Energy. 212: 118731. DOI: 10.1016/J.Energy.2020.118731  0.365
2020 Kappatou CD, Ehsani A, Niedenführ S, Mhamdi A, Schuppert A, Mitsos A. Quality-targeting dynamic optimization of monoclonal antibody production Computers & Chemical Engineering. 142: 107004. DOI: 10.1016/J.Compchemeng.2020.107004  0.35
2020 Huster WR, Schweidtmann AM, Lüthje JT, Mitsos A. Deterministic global superstructure-based optimization of an organic Rankine cycle Computers & Chemical Engineering. 141: 106996. DOI: 10.1016/J.Compchemeng.2020.106996  0.35
2020 Joy P, Mhamdi A, Mitsos A. Optimization-based observability analysis Computers & Chemical Engineering. 140: 106932. DOI: 10.1016/J.Compchemeng.2020.106932  0.346
2020 Ploch T, Lieres Ev, Wiechert W, Mitsos A, Hannemann-Tamás R. Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica Computers & Chemical Engineering. 140: 106920. DOI: 10.1016/J.Compchemeng.2020.106920  0.324
2020 Caspari A, Lüken L, Schäfer P, Vaupel Y, Mhamdi A, Biegler LT, Mitsos A. Dynamic optimization with complementarity constraints: Smoothing for direct shooting Computers & Chemical Engineering. 139: 106891. DOI: 10.1016/J.Compchemeng.2020.106891  0.324
2020 Brée LC, Wessling M, Mitsos A. Modular modeling of electrochemical reactors: Comparison of CO2-electolyzers Computers & Chemical Engineering. 139: 106890. DOI: 10.1016/J.Compchemeng.2020.106890  0.372
2020 Sass S, Faulwasser T, Hollermann DE, Kappatou CD, Sauer D, Schütz T, Shu DY, Bardow A, Gröll L, Hagenmeyer V, Müller D, Mitsos A. Model compendium, data, and optimization benchmarks for sector-coupled energy systems Computers & Chemical Engineering. 135: 106760. DOI: 10.1016/J.Compchemeng.2020.106760  0.345
2020 Schultz ES, Hannemann-Tamás R, Mitsos A. Polynomial approximation of inequality path constraints in dynamic optimization Computers & Chemical Engineering. 135: 106732. DOI: 10.1016/J.Compchemeng.2020.106732  0.3
2020 König A, Neidhardt L, Viell J, Mitsos A, Dahmen M. Integrated design of processes and products: Optimal renewable fuels Computers & Chemical Engineering. 134: 106712. DOI: 10.1016/J.Compchemeng.2019.106712  0.686
2020 König A, Marquardt W, Mitsos A, Viell J, Dahmen M. Integrated design of renewable fuels and their production processes: recent advances and challenges Current Opinion in Chemical Engineering. 27: 45-50. DOI: 10.1016/J.Coche.2019.11.001  0.761
2020 Ksiazkiewicz AN, Bering L, Jung F, Wolter NA, Viell J, Mitsos A, Pich A. Closing the 1–5 µm size gap: Temperature-programmed, fed-batch synthesis of µm-sized microgels Chemical Engineering Journal. 379: 122293. DOI: 10.1016/J.Cej.2019.122293  0.68
2020 Schultz ES, Hannemann-Tamás R, Mitsos A. Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization Automatica. 111: 108653. DOI: 10.1016/J.Automatica.2019.108653  0.303
2020 Bongartz D, Najman J, Mitsos A. Deterministic global optimization of steam cycles using the IAPWS-IF97 model Optimization and Engineering. 21: 1095-1131. DOI: 10.1007/S11081-020-09502-1  0.334
2020 Huster WR, Schweidtmann AM, Mitsos A. Working fluid selection for organic rankine cycles via deterministic global optimization of design and operation Optimization and Engineering. 21: 517-536. DOI: 10.1007/S11081-019-09454-1  0.361
2020 Hofstede J, Lindmeyer M, Mitsos A, Viell J. A method for systematic identification of chemical and biotechnological processes for decentral, modular processing Chemie Ingenieur Technik. 92: 1292-1292. DOI: 10.1002/Cite.202055287  0.663
2020 Echtermeyer A, Mitsos A, Viell J. Humin formation and deposition during acid‐catalyzed biomass conversion Chemie Ingenieur Technik. 92: 1290-1290. DOI: 10.1002/Cite.202055131  0.635
2020 Marks C, König A, Mitsos A, Viell J. Minimal viable sugar yield of biomass pretreatment Biofuels, Bioproducts and Biorefining. 14: 301-314. DOI: 10.1002/Bbb.2074  0.65
2020 Wang G, Mitsos A, Marquardt W. Renewable production of ammonia and nitric acid Aiche Journal. 66. DOI: 10.1002/Aic.16947  0.564
2019 Janssen FAL, Kather M, Ksiazkiewicz A, Pich A, Mitsos A. Synthesis of Poly(-vinylcaprolactam)-Based Microgels by Precipitation Polymerization: Pseudo-Bulk Model for Particle Growth and Size Distribution. Acs Omega. 4: 13795-13807. PMID 31681904 DOI: 10.1021/acsomega.9b01335  0.752
2019 Gerlinger W, Asua JM, Chaloupka T, Faust JMM, Gjertsen F, Hamzehlou S, Hauger SO, Jahns E, Joy PJ, Kosek J, Lapkin A, Leiza JR, Mhamdi A, Mitsos A, Naeem O, et al. Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies. Chemie-Ingenieur-Technik. 91: 323-335. PMID 31543521 DOI: 10.1002/Cite.201800118  0.726
2019 Virtanen OLJ, Kather M, Meyer-Kirschner J, Melle A, Radulescu A, Viell J, Mitsos A, Pich A, Richtering W. Direct Monitoring of Microgel Formation during Precipitation Polymerization of -Isopropylacrylamide Using in Situ SANS. Acs Omega. 4: 3690-3699. PMID 31459582 DOI: 10.1021/acsomega.8b03461  0.755
2019 Ploch T, Zhao X, Hüser J, von Lieres E, Hannemann-Tamás R, Naumann U, Wiechert W, Mitsos A, Noack S. Multi-scale dynamic modeling and simulation of a biorefinery. Biotechnology and Bioengineering. PMID 31237684 DOI: 10.1002/Bit.27099  0.767
2019 Aigner M, Echtermeyer A, Kaminski S, Viell J, Leonhard K, Mitsos A, Jupke A. Ternary System CO2/2-MTHF/Water—Experimental Study and Thermodynamic Modeling Journal of Chemical & Engineering Data. 65: 993-1004. DOI: 10.1021/Acs.Jced.9B00315  0.668
2019 Burre J, Bongartz D, Mitsos A. Production of Oxymethylene Dimethyl Ethers from Hydrogen and Carbon Dioxide—Part II: Modeling and Analysis for OME3–5 Industrial & Engineering Chemistry Research. 58: 4881-4889. DOI: 10.1021/Acs.Iecr.8B05577  0.325
2019 Jung F, Janssen FAL, Ksiazkiewicz A, Caspari A, Mhamdi A, Pich A, Mitsos A. Identifiability Analysis and Parameter Estimation of Microgel Synthesis: A Set-Membership Approach Industrial & Engineering Chemistry Research. 58: 13675-13685. DOI: 10.1021/Acs.Iecr.8B05274  0.329
2019 König A, Ulonska K, Mitsos A, Viell J. Optimal Applications and Combinations of Renewable Fuel Production from Biomass and Electricity Energy & Fuels. 33: 1659-1672. DOI: 10.1021/Acs.Energyfuels.8B03790  0.661
2019 Schäfer P, Caspari A, Mhamdi A, Mitsos A. Economic nonlinear model predictive control using hybrid mechanistic data-driven models for optimal operation in real-time electricity markets: In-silico application to air separation processes Journal of Process Control. 84: 171-181. DOI: 10.1016/J.Jprocont.2019.10.008  0.387
2019 Holtorf F, Mitsos A, Biegler LT. Multistage NMPC with on-line generated scenario trees: Application to a semi-batch polymerization process Journal of Process Control. 80: 167-179. DOI: 10.1016/J.Jprocont.2019.05.007  0.388
2019 Joy P, Rossow K, Jung F, Moritz H, Pauer W, Mitsos A, Mhamdi A. Model-based control of continuous emulsion co-polymerization in a lab-scale tubular reactor Journal of Process Control. 75: 59-76. DOI: 10.1016/J.Jprocont.2018.12.014  0.31
2019 Holtorf F, Mitsos A, Biegler LT. Adaptive Scenario Generation for Multistage NMPC with Shrinking Horizons Ifac-Papersonline. 52: 586-591. DOI: 10.1016/J.Ifacol.2019.06.126  0.396
2019 Jung F, Caspari A, Mhamdi A, Mitsos A. Set-Membership Parameter Estimation: Improved Understanding of Microgel Polymerization Ifac-Papersonline. 52: 580-585. DOI: 10.1016/J.Ifacol.2019.06.125  0.376
2019 Jung F, Janssen FA, Caspari A, Spütz H, Kröger L, Leonhard K, Mhamdi A, Mitsos A. Dynamic Optimization of a Fed-Batch Microgel Synthesis Ifac-Papersonline. 52: 394-399. DOI: 10.1016/J.Ifacol.2019.06.094  0.331
2019 Vaupel Y, Huster WR, Holtorf F, Mhamdi A, Mitsos A. Analysis and improvement of dynamic heat exchanger models for nominal and start-up operation Energy. 169: 1191-1201. DOI: 10.1016/J.Energy.2018.12.048  0.353
2019 Najman J, Bongartz D, Mitsos A. Relaxations of thermodynamic property and costing models in process engineering Computers & Chemical Engineering. 130: 106571. DOI: 10.1016/J.Compchemeng.2019.106571  0.371
2019 Faust JM, Chaloupka T, Kosek J, Mhamdi A, Mitsos A. Dynamic optimization of an emulsion copolymerization process for product quality using a deterministic kinetic model with embedded Monte Carlo simulations Computers & Chemical Engineering. 130: 106566. DOI: 10.1016/J.Compchemeng.2019.106566  0.412
2019 Najman J, Bongartz D, Mitsos A. Convex relaxations of componentwise convex functions Computers & Chemical Engineering. 130: 106527. DOI: 10.1016/J.Compchemeng.2019.106527  0.335
2019 Joy P, Djelassi H, Mhamdi A, Mitsos A. Optimization-based global structural identifiability Computers & Chemical Engineering. 128: 417-420. DOI: 10.1016/J.Compchemeng.2019.06.019  0.345
2019 Sass S, Mitsos A. Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate? Computers & Chemical Engineering. 124: 133-139. DOI: 10.1016/J.Compchemeng.2019.02.011  0.372
2019 Schweidtmann AM, Huster WR, Lüthje JT, Mitsos A. Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks Computers & Chemical Engineering. 121: 67-74. DOI: 10.1016/J.Compchemeng.2018.10.007  0.372
2019 Glass M, Mitsos A. Parameter estimation in reactive systems subject to sufficient criteria for thermodynamic stability Chemical Engineering Science. 197: 420-431. DOI: 10.1016/J.Ces.2018.08.035  0.335
2019 Jung F, Ksiazkiewicz A, Mhamdi A, Pich A, Mitsos A. Model-based prediction of the hydrodynamic radius of collapsed microgels and experimental validation Chemical Engineering Journal. 378: 121740. DOI: 10.1016/J.Cej.2019.05.101  0.377
2019 Faust JM, Hamzehlou S, Leiza JR, Asua JM, Mhamdi A, Mitsos A. Dynamic optimization of a two-stage emulsion polymerization to obtain desired particle morphologies Chemical Engineering Journal. 359: 1035-1045. DOI: 10.1016/J.Cej.2018.11.081  0.375
2019 Marks C, Mitsos A, Viell J. Change of C(2)-Hydrogen–Deuterium Exchange in Mixtures of EMIMAc Journal of Solution Chemistry. 48: 1188-1205. DOI: 10.1007/S10953-019-00899-7  0.671
2019 Najman J, Mitsos A. Tighter McCormick relaxations through subgradient propagation Journal of Global Optimization. 75: 565-593. DOI: 10.1007/S10898-019-00791-0  0.304
2019 Walz O, Djelassi H, Mitsos A. Optimal experimental design for optimal process design: A trilevel optimization formulation Aiche Journal. 66. DOI: 10.1002/Aic.16788  0.311
2019 Caspari A, Offermanns C, Schäfer P, Mhamdi A, Mitsos A. A flexible air separation process: 2. Optimal operation using economic model predictive control Aiche Journal. 65. DOI: 10.1002/Aic.16721  0.353
2019 Caspari A, Offermanns C, Schäfer P, Mhamdi A, Mitsos A. A flexible air separation process: 1. Design and steady‐state optimizations Aiche Journal. 65. DOI: 10.1002/Aic.16705  0.308
2018 König A, Mancini ND, Mitsos A. Correction: Conceptual design and analysis of ITM oxy-combustion power cycles. Physical Chemistry Chemical Physics : Pccp. 20: 30054-30055. PMID 30468233 DOI: 10.1039/C8Cp91924K  0.728
2018 Ulonska K, König A, Klatt M, Mitsos A, Viell J. Optimization of Multiproduct Biorefinery Processes under Consideration of Biomass Supply Chain Management and Market Developments Industrial & Engineering Chemistry Research. 57: 6980-6991. DOI: 10.1021/Acs.Iecr.8B00245  0.687
2018 Kappatou CD, Mhamdi A, Campano AQ, Mantalaris A, Mitsos A. Model-Based Dynamic Optimization of Monoclonal Antibodies Production in Semibatch Operation—Use of Reformulation Techniques Industrial & Engineering Chemistry Research. 57: 9915-9924. DOI: 10.1021/Acs.Iecr.7B05357  0.389
2018 Meyer-Kirschner J, Mitsos A, Viell J. Reliable spectroscopic process monitoring using an optimal acquisition time procedure determined by signal-to-noise ratio Measurement. 122: 100-105. DOI: 10.1016/J.Measurement.2018.02.061  0.687
2018 Puschke J, Mitsos A. Robust feasible control based on multi-stage eNMPC considering worst-case scenarios Journal of Process Control. 69: 8-15. DOI: 10.1016/J.Jprocont.2018.07.004  0.335
2018 Caspari A, Faust JM, Schäfer P, Mhamdi A, Mitsos A. Economic Nonlinear Model Predictive Control for Flexible Operation of Air Separation Units Ifac-Papersonline. 51: 295-300. DOI: 10.1016/J.Ifacol.2018.11.028  0.379
2018 Huster WR, Vaupel Y, Mhamdi A, Mitsos A. Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck Energy. 151: 647-661. DOI: 10.1016/J.Energy.2018.03.058  0.354
2018 Puschke J, Djelassi H, Kleinekorte J, Hannemann-Tamás R, Mitsos A. Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs Computers & Chemical Engineering. 116: 253-267. DOI: 10.1016/J.Compchemeng.2018.05.025  0.344
2018 Mitsos A, Asprion N, Floudas CA, Bortz M, Baldea M, Bonvin D, Caspari A, Schäfer P. Challenges in process optimization for new feedstocks and energy sources Computers & Chemical Engineering. 113: 209-221. DOI: 10.1016/J.Compchemeng.2018.03.013  0.354
2018 Glass M, Djelassi H, Mitsos A. Parameter estimation for cubic equations of state models subject to sufficient criteria for thermodynamic stability Chemical Engineering Science. 192: 981-992. DOI: 10.1016/J.Ces.2018.08.033  0.314
2018 Schweidtmann AM, Mitsos A. Deterministic Global Optimization with Artificial Neural Networks Embedded Journal of Optimization Theory and Applications. 180: 925-948. DOI: 10.1007/S10957-018-1396-0  0.337
2018 Meyer-Kirschner J, Kather M, Ksiazkiewicz A, Pich A, Mitsos A, Viell J. Monitoring Microgel Synthesis by Copolymerization of N-isopropylacrylamide and N-vinylcaprolactam via In-Line Raman Spectroscopy and Indirect Hard Modeling Macromolecular Reaction Engineering. 12: 1700067. DOI: 10.1002/Mren.201700067  0.651
2018 Meyer-Kirschner J, Mitsos A, Viell J. Polymer particle sizing from Raman spectra by regression of hard model parameters Journal of Raman Spectroscopy. 49: 1402-1411. DOI: 10.1002/Jrs.5387  0.683
2017 Janssen FAL, Kather M, Kröger LC, Mhamdi A, Leonhard K, Pich A, Mitsos A. Synthesis of Poly(N-vinylcaprolactam)-Based Microgels by Precipitation Polymerization: Process Modeling and Experimental Validation Industrial & Engineering Chemistry Research. 56: 14545-14556. DOI: 10.1021/Acs.Iecr.7B03263  0.329
2017 Penner D, Redepenning C, Mitsos A, Viell J. Conceptual Design of Methyl Ethyl Ketone Production via 2,3-Butanediol for Fuels and Chemicals Industrial & Engineering Chemistry Research. 56: 3947-3957. DOI: 10.1021/Acs.Iecr.6B03678  0.68
2017 Glass M, Aigner M, Viell J, Jupke A, Mitsos A. Liquid-liquid equilibrium of 2-methyltetrahydrofuran/water over wide temperature range: Measurements and rigorous regression Fluid Phase Equilibria. 433: 212-225. DOI: 10.1016/J.Fluid.2016.11.004  0.677
2017 Huster WR, Bongartz D, Mitsos A. Deterministic Global Optimization of the Design of a Geothermal Organic Rankine Cycle Energy Procedia. 129: 50-57. DOI: 10.1016/J.Egypro.2017.09.181  0.333
2017 Walz O, Marks C, Viell J, Mitsos A. Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps Computers & Chemical Engineering. 98: 143-153. DOI: 10.1016/J.Compchemeng.2016.12.014  0.678
2017 Puschke J, Zubov A, Kosek J, Mitsos A. Multi-model approach based on parametric sensitivities – A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties Computers & Chemical Engineering. 98: 161-179. DOI: 10.1016/J.Compchemeng.2016.12.004  0.389
2017 Bongartz D, Mitsos A. Infeasible Path Global Flowsheet Optimization Using McCormick Relaxations Computer-Aided Chemical Engineering. 40: 631-636. DOI: 10.1016/B978-0-444-63965-3.50107-0  0.308
2017 Joy PJ, Mhamdi A, Mitsos A. Identifiability Analysis and Model Reduction of a Semi-batch Emulsion Polymerization Process Model Computer-Aided Chemical Engineering. 40: 295-300. DOI: 10.1016/B978-0-444-63965-3.50051-9  0.348
2017 Bongartz D, Mitsos A. Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations Journal of Global Optimization. 69: 761-796. DOI: 10.1007/S10898-017-0547-4  0.344
2017 Ebrahimi F, Viell J, Mitsos A, Mhamdi A, Brandhorst M. In‐line monitoring of hydrogen peroxide in two‐phase reactions using raman spectroscopy Aiche Journal. 63: 3994-4002. DOI: 10.1002/Aic.15754  0.681
2017 Wang G, Mitsos A, Marquardt W. Conceptual design of ammonia-based energy storage system: System design and time-invariant performance Aiche Journal. 63: 1620-1637. DOI: 10.1002/Aic.15660  0.619
2016 Meyer-Kirschner J, Kather M, Pich A, Engel D, Marquardt W, Viell J, Mitsos A. In-line Monitoring of Monomer and Polymer Content During Microgel Synthesis Using Precipitation Polymerization via Raman Spectroscopy and Indirect Hard Modeling. Applied Spectroscopy. PMID 26810183 DOI: 10.1177/0003702815626663  0.767
2016 Lee U, Burre J, Caspari A, Kleinekorte J, Schweidtmann AM, Mitsos A. Techno-economic Optimization of a Green-Field Post-Combustion CO2Capture Process Using Superstructure and Rate-Based Models Industrial & Engineering Chemistry Research. 55: 12014-12026. DOI: 10.1021/Acs.Iecr.6B01668  0.365
2016 de Kanter M, Meyer-Kirschner J, Viell J, Mitsos A, Kather M, Pich A, Janzen C. Enabling the measurement of particle sizes in stirred colloidal suspensions by embedding dynamic light scattering into an automated probe head Measurement. 80: 92-98. DOI: 10.1016/J.Measurement.2015.11.024  0.67
2016 Lee U, Mitsos A, Han C. Optimal retrofit of a CO2 capture pilot plant using superstructure and rate-based models International Journal of Greenhouse Gas Control. 50: 57-69. DOI: 10.1016/J.Ijggc.2016.03.024  0.375
2016 Puschke J, Mitsos A. Robust Dynamic Optimization of a Semi-Batch Emulsion Polymerization Process with Parametric Uncertainties-A Heuristic Approach - Ifac-Papersonline. 49: 907-912. DOI: 10.1016/J.Ifacol.2016.07.305  0.402
2016 Westerwalbesloh C, Wang G, Mitsos A. Power-to-Heat: Opportunities in Reserve Market Participation for Flexible Chemical Production Computer-Aided Chemical Engineering. 38: 2283-2288. DOI: 10.1016/B978-0-444-63428-3.50385-4  0.31
2016 Rossow K, Bröge P, Lüth FG, Joy P, Mhamdi A, Mitsos A, Moritz H, Pauer W. Transfer of Emulsion Polymerization of Styrene andn-Butyl Acrylate from Semi-Batch to a Continuous Tubular Reactor Macromolecular Reaction Engineering. 10: 324-338. DOI: 10.1002/Mren.201500077  0.324
2016 Aigner M, Jupke A, Glass M, Viell J, Mitsos A. 2-MTHF/Water as Medium for Multiphase Reaction Systems: Phase Equilibrium Data and Modeling Chemie Ingenieur Technik. 88: 1334-1334. DOI: 10.1002/Cite.201650462  0.661
2016 Ulonska K, Skiborowski M, Mitsos A, Viell J. Prozessnetzwerkflussanalyse zur Evaluierung von Bioraffinerie-Prozesspfaden in einem frühen Entwicklungsstadium Chemie Ingenieur Technik. 88: 1237-1237. DOI: 10.1002/Cite.201650157  0.617
2016 Ulonska K, Skiborowski M, Mitsos A, Viell J. Early-stage evaluation of biorefinery processing pathways using process network flux analysis Aiche Journal. 62: 3096-3108. DOI: 10.1002/Aic.15305  0.689
2015 Ayub M, Mitsos A, Ghasemi H. Thermo-economic analysis of a hybrid solar-binary geothermal power plant Energy. 87: 326-335. DOI: 10.1016/J.Energy.2015.04.106  0.632
2015 Ulonska K, Ebert BE, Blank LM, Mitsos A, Viell J. Systematic Screening of Fermentation Products as Future Platform Chemicals for Biofuels Computer-Aided Chemical Engineering. 37: 1331-1336. DOI: 10.1016/B978-0-444-63577-8.50067-X  0.685
2014 Zebian H, Mitsos A. Pressurized OCC (oxy-coal combustion) process ideally flexible to the thermal load Energy. 73: 416-429. DOI: 10.1016/J.Energy.2014.06.031  0.302
2014 Gunasekaran S, Mancini ND, Mitsos A. Optimal design and operation of membrane-based oxy-combustion power plants Energy. 70: 338-354. DOI: 10.1016/J.Energy.2014.04.008  0.315
2014 Dahdah TH, Mitsos A. Structural optimization of seawater desalination: I. A flexible superstructure and novel MED–MSF configurations Desalination. 344: 252-265. DOI: 10.1016/J.Desal.2014.03.030  0.328
2014 Dahdah TH, Mitsos A. Structural optimization of seawater desalination: II novel MED–MSF–TVC configurations Desalination. 344: 219-227. DOI: 10.1016/J.Desal.2014.03.026  0.319
2014 Ghobeity A, Mitsos A. Optimal design and operation of desalination systems: new challenges and recent advances Current Opinion in Chemical Engineering. 6: 61-68. DOI: 10.1016/J.Coche.2014.09.008  0.342
2014 Ghasemi H, Sheu E, Tizzanini A, Paci M, Mitsos A. Hybrid solar–geothermal power generation: Optimal retrofitting Applied Energy. 131: 158-170. DOI: 10.1016/J.Apenergy.2014.06.010  0.642
2014 Meyer-Kirschner J, Viell J, Mitsos A. Polymerisationsverfolgung via modellgestützter Auswertung von Inline-Raman-Spektroskopie und des elastisch gestreuten Lichts Chemie Ingenieur Technik. 86: 1579-1580. DOI: 10.1002/Cite.201450327  0.631
2014 Marquardt W, Ulonska K, Viell J, Mitsos A. Energieeffizienz und Wertschöpfung in einer Bioraffinerie mit Itakonsäure als Plattformchemikalie Chemie Ingenieur Technik. 86: 1386-1386. DOI: 10.1002/Cite.201450316  0.716
2013 Zebian H, Mitsos A. Pressurized oxy-coal combustion: Ideally flexible to uncertainties Energy. 57: 513-526. DOI: 10.1016/J.Energy.2013.05.026  0.338
2013 Sheu EJ, Mitsos A. Optimization of a hybrid solar-fossil fuel plant: Solar steam reforming of methane in a combined cycle Energy. 51: 193-202. DOI: 10.1016/J.Energy.2013.01.027  0.314
2013 Zebian H, Rossi N, Gazzino M, Cumbo D, Mitsos A. Optimal design and operation of pressurized oxy-coal combustion with a direct contact separation column Energy. 49: 268-278. DOI: 10.1016/J.Energy.2012.11.013  0.34
2013 Ghasemi H, Paci M, Tizzanini A, Mitsos A. Modeling and optimization of a binary geothermal power plant Energy. 50: 412-428. DOI: 10.1016/J.Energy.2012.10.039  0.654
2013 Ghasemi H, Tizzanini A, Paci M, Mitsos A. Optimization of binary geothermal power systems Computer-Aided Chemical Engineering. 32: 391-396. DOI: 10.1016/B978-0-444-63234-0.50066-X  0.627
2012 Mitsos A, Melas IN, Morris MK, Saez-Rodriguez J, Lauffenburger DA, Alexopoulos LG. Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways. Plos One. 7: e50085. PMID 23226239 DOI: 10.1371/Journal.Pone.0050085  0.337
2012 Ghobeity A, Mitsos A. Optimal Design and Operation of a Solar Energy Receiver and Storage Journal of Solar Energy Engineering-Transactions of the Asme. 134: 31005. DOI: 10.1115/1.4006402  0.335
2012 Noone CJ, Torrilhon M, Mitsos A. Heliostat field optimization: A new computationally efficient model and biomimetic layout Solar Energy. 86: 792-803. DOI: 10.1016/J.Solener.2011.12.007  0.33
2012 Zebian H, Gazzino M, Mitsos A. Multi-variable optimization of pressurized oxy-coal combustion Energy. 38: 37-57. DOI: 10.1016/J.Energy.2011.12.043  0.327
2011 Mancini ND, Mitsos A. Conceptual design and analysis of ITM oxy-combustion power cycles. Physical Chemistry Chemical Physics. 13: 21351-21361. PMID 22033659 DOI: 10.1039/C1Cp23027A  0.314
2011 Ghobeity A, Noone CJ, Papanicolas CN, Mitsos A. Optimal time-invariant operation of a power and water cogeneration solar-thermal plant Solar Energy. 85: 2295-2320. DOI: 10.1016/J.Solener.2011.06.023  0.4
2011 Mistry KH, Mitsos A, Lienhard JH. Optimal operating conditions and configurations for humidification–dehumidification desalination cycles International Journal of Thermal Sciences. 50: 779-789. DOI: 10.1016/J.Ijthermalsci.2010.12.013  0.309
2011 Mancini ND, Mitsos A. Ion transport membrane reactors for oxy-combustion–Part II: Analysis and comparison of alternatives Energy. 36: 4721-4739. DOI: 10.1016/J.Energy.2011.05.024  0.341
2011 Mancini ND, Mitsos A. Ion transport membrane reactors for oxy-combustion – Part I: intermediate-fidelity modeling Energy. 36: 4701-4720. DOI: 10.1016/J.Energy.2011.05.023  0.337
2011 Ghobeity A, Mitsos A. Optimal Operation of a Concentrated Solar Thermal Cogeneration Plant Computer-Aided Chemical Engineering. 29: 1974-1978. DOI: 10.1016/B978-0-444-54298-4.50173-2  0.361
2010 Ghobeity A, Mitsos A. Optimal time-dependent operation of seawater reverse osmosis Desalination. 263: 76-88. DOI: 10.1016/J.Desal.2010.06.041  0.309
2010 Chachuat B, Mitsos A, Barton PI. Optimal Start-up of Microfabricated Power Generation Processes Employing Fuel Cells Optimal Control Applications & Methods. 31: 471-495. DOI: 10.1002/Oca.949  0.553
2009 Mitsos A, Chachuat B, Barton PI. McCormick-Based Relaxations of Algorithms Siam Journal On Optimization. 20: 573-601. DOI: 10.1137/080717341  0.533
2009 Mitsos A, Bollas GM, Barton PI. Model and Parameter Identification in Phase Equilibria Computer-Aided Chemical Engineering. 26: 597-601. DOI: 10.1016/S1570-7946(09)70100-2  0.544
2009 Mitsos A, Barton PI. Parametric mixed-integer 0–1 linear programming: The general case for a single parameter European Journal of Operational Research. 194: 663-686. DOI: 10.1016/J.Ejor.2008.01.007  0.531
2009 Mitsos A, Bollas GM, Barton PI. Bilevel optimization formulation for parameter estimation in vapor–liquid(–liquid) phase equilibrium problems Chemical Engineering Science. 64: 1768-1783. DOI: 10.1016/J.Ces.2008.09.034  0.555
2009 Cho W, Song T, Mitsos A, McKinnon JT, Ko GH, Tolsma JE, Denholm D, Park T. Optimal design and operation of a natural gas tri-reforming reactor for DME synthesis Catalysis Today. 139: 261-267. DOI: 10.1016/J.Cattod.2008.04.051  0.343
2009 Mitsos A, Chachuat B, Barton PI. Towards global bilevel dynamic optimization Journal of Global Optimization. 45: 63-93. DOI: 10.1007/S10898-008-9395-6  0.547
2008 Mitsos A, Lemonidis P, Lee CK, Barton PI. Relaxation-Based Bounds for Semi-Infinite Programs Siam Journal On Optimization. 19: 77-113. DOI: 10.1137/060674685  0.525
2008 Mitsos A, Oxberry GM, Barton PI, Green WH. Optimal automatic reaction and species elimination in kinetic mechanisms Combustion and Flame. 155: 118-132. DOI: 10.1016/J.Combustflame.2008.03.004  0.582
2008 Yunt M, Chachuat B, Mitsos A, Barton PI. Designing Man-Portable Power Generation Systems for Varying Power Demand Aiche Journal. 54: 1254-1269. DOI: 10.1002/Aic.11442  0.532
2007 Mitsos A, Chachuat B, Barton PI. Methodology for the design of man-portable power generation devices Industrial & Engineering Chemistry Research. 46: 7164-7176. DOI: 10.1021/Ie070586Z  0.603
2007 Mitsos A, Chachuat B, Barton PI. What is the design objective for portable power generation: Efficiency or energy density? Journal of Power Sources. 164: 678-687. DOI: 10.1016/J.Jpowsour.2006.10.088  0.528
2007 Mitsos A, Lemonidis P, Barton PI. Global solution of bilevel programs with a nonconvex inner program Journal of Global Optimization. 42: 475-513. DOI: 10.1007/S10898-007-9260-Z  0.508
2007 Mitsos A, Barton PI. A dual extremum principle in thermodynamics Aiche Journal. 53: 2131-2147. DOI: 10.1002/Aic.11230  0.521
2005 Barton PI, Mitsos A, Chachuat B. Optimal Start-up of Micro Power Generation Processes Computer-Aided Chemical Engineering. 20: 1093-1098. DOI: 10.1016/S1570-7946(05)80024-0  0.551
2005 Chachuat B, Mitsos A, Barton PI. Optimal design and steady-state operation of micro power generation employing fuel cells Chemical Engineering Science. 60: 4535-4556. DOI: 10.1016/J.Ces.2005.02.053  0.585
2005 Mitsos A, Hencke MM, Barton PI. Product engineering for man‐portable power generation based on fuel cells Aiche Journal. 51: 2199-2219. DOI: 10.1002/Aic.10456  0.561
2004 Mitsos A, Palou-Rivera I, Barton PI. Alternatives for Micropower Generation Processes Industrial & Engineering Chemistry Research. 43: 74-84. DOI: 10.1021/Ie0304917  0.558
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