1. Morales, M., P.Y. Dapsens, I. Giovinazzo, J. Witte and C. Mondelli et al., 2015. Environmental and economic assessment of lactic acid production from glycerol using cascade bio-and chemocatalysis. Energy Environ. Sci., 8: 558-567.
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2. Kikuchi, Y., M. Hirao, H. Sugiyama, S. Papadokonstantakis, K. Hungerbuhler, T. Ookubo and A. Sasaki, 2014. Design of recycling system for poly (methyl methacrylate) (PMMA). Part 2: Process hazards and material flow analysis. Int. J. Life Cycle Assess., 19: 307-319.
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3. Capon-Garcia, E., S. Papadokonstantakis and K. Hungerbuhler, 2014. Multi-objective optimization of industrial waste management in chemical sites coupled with heat integration issues. Comput. Chem. Eng., 62: 21-36.
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4. Rerat, C., S. Papadokonstantakis and K. Hungerbuhler, 2013. Integrated waste management in batch chemical industry based on multi-objective optimization. J. Air Waste Manage. Assoc., 63: 349-366.
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5. Pereira, C., S. Papadokonstantakis, C. Rerat and K. Hungerbuhler, 2013. Industrial documentation-based approach for modeling the process steam consumption in chemical batch plants. Ind. Eng. Chem. Res., 52: 15635-15647.
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6. Papadokonstantakis, S., K. Hungerbuhler and M. Sennhauser, 2013. The success of Switzerland's chemicals and pharmaceuticals industries. Chem. Eng. Prog., 109: 31-34.
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7. Szijjarto, A., S. Papadokonstantakis and K. Hungerbuhler, 2012. Model-based identification and analysis of the energy saving potential in batch chemical processes. Ind. Eng. Chem. Res., 51: 11170-11182.
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8. Rerat, C., S. Papadokonstantakis and K. Hungerbuhler, 2012. Estimation and analysis of energy utilities consumption in batch chemical industry through thermal losses modeling. Ind. Eng. Chem. Res., 51: 10416-10432.
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9. Banimostafa, A., T.T.H. Nguyen, Y. Kikuchi, S. Papadokonstantakis, H. Sugiyama, M. Hirao and K. Hungerbuhler, 2012. Safety, health and environmental assessment of bioethanol production from sugarcane, corn and corn stover. Green Process. Synth., 1: 449-461.
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10. Banimostafa, A., S. Papadokonstantakis and K. Hungerbuhler, 2012. Evaluation of EHS hazard and sustainability metrics during early process design stages using principal component analysis. Process Saf. Environ. Protect., 90: 8-26.
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11. Bumann, A.A., S. Papadokonstantakis, U. Fischer and K. Hungerbuhler, 2011. Investigating the use of path flow indicators as optimization drivers in batch process retrofitting. Comput. Chem. Eng., 35: 2767-2785.
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12. Bumann, A.A., S. Papadokonstantakis, H. Sugiyama, U. Fischer and K. Hungerbuhler, 2010. Evaluation and analysis of a proxy indicator for the estimation of gate-to-gate energy consumption in the early process design phases: The case of organic solvent production. Energy, 35: 2407-2418.
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13. Albrecht, T., S. Papadokonstantakis, H. Sugiyama and K. Hungerbuhler, 2010. Demonstrating multi-objective screening of chemical batch process alternatives during early design phases. Chem. Eng. Res. Des., 88: 529-550.
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14. Wernet, G., S. Papadokonstantakis, S. Hellweg and K. Hungerbuhler, 2009. Bridging data gaps in environmental assessments: Modeling impacts of fine and basic chemical production. Green Chem., 11: 1826-1831.
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15. Wernet, G., S. Hellweg, U. Fischer, S. Papadokonstantakis and K. Hungerbuhler, 2008. Molecular-structure-based models of chemical inventories using neural networks. Environ. Sci. Technol., 42: 6717-6722.
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16. Szijjarto, A., S. Papadokonstantakis, U. Fischer and K. Hungerbuhler, 2008. Bottom-up modeling of the steam consumption in multipurpose chemical batch plants focusing on identification of the optimization potential. Ind. Eng. Chem. Res., 47: 7323-7334.
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17. Richner, G., Y.M. Neuhold, S. Papadokonstantakis and K. Hungerbuehler, 2008. Temperature oscillation calorimetry for the determination of the heat capacity in a small-scale reactor. Chem. Eng. Sci., 63: 3755-3765.
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18. Papadokonstantakis, S., A. Lygeros and S.P. Jacobsson, 2006. Comparison of recent methods for inference of variable influence in neural networks. Neural Networks, 19: 500-513.
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19. Papadokonstantakis, S., S. Machefer, K. Schnitzlein and A.I. Lygeros, 2005. Variable selection and data pre-processing in NN modelling of complex chemical processes. Comput. Chem. Eng., 29: 1647-1659.
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20. Bollas, G.M., S. Papadokonstantakis, J. Michalopoulos, G. Arampatzis, A.A. Lappas, I.A. Vasalos and A. Lygeros, 2004. A computer-aided tool for the simulation and optimization of the combined HDS-FCC processes. Chem. Eng. Res. Des., 82: 881-894.
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21. Bollas, G.M., S. Papadokonstadakis, J. Michalopoulos, G. Arampatzis, A.A. Lappas, I.A. Vasalos and A. Lygeros, 2003. Using hybrid neural networks in scaling up an FCC model from a pilot plant to an industrial unit. Chem. Eng. Process.: Process Intensif., 42: 697-713.
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22. Michalopoulos, J., S. Papadokonstadakis, G. Arampatzis and A. Lygeros, 2001. Modelling of an industrial fluid catalytic cracking unit using neural networks. Chem. Eng. Res. Des., 79: 137-142.
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