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Lorenz Fleitmann
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Life cycle assessment for the design of chemical processes, products, and supply chains
J Kleinekorte, L Fleitmann, M Bachmann, A Kätelhön, A Barbosa-Póvoa, ...
Annual review of chemical and biomolecular engineering 11 (1), 203-233, 2020
792020
COSMO-CAMD: A framework for optimization-based computer-aided molecular design using COSMO-RS
J Scheffczyk, L Fleitmann, A Schwarz, M Lampe, A Bardow, K Leonhard
Chemical Engineering Science 159, 84-92, 2017
732017
COSMO-CAMPD: a framework for integrated design of molecules and processes based on COSMO-RS
J Scheffczyk, P Schäfer, L Fleitmann, J Thien, C Redepenning, ...
Molecular Systems Design & Engineering 3 (4), 645-657, 2018
452018
Rx-COSMO-CAMD: computer-aided molecular design of reaction solvents based on predictive kinetics from quantum chemistry
C Gertig, L Kröger, L Fleitmann, J Scheffczyk, A Bardow, K Leonhard
Industrial & Engineering Chemistry Research 58 (51), 22835-22846, 2019
292019
COSMO-susCAMPD: Sustainable solvents from combining computer-aided molecular and process design with predictive life cycle assessment
L Fleitmann, J Kleinekorte, K Leonhard, A Bardow
Chemical Engineering Science 245, 116863, 2021
152021
Rx‐COSMO‐CAMPD: Enhancing reactions by integrated computer‐aided design of solvents and processes based on quantum chemistry
C Gertig, L Fleitmann, J Schilling, K Leonhard, A Bardow
Chemie Ingenieur Technik 92 (10), 1489-1500, 2020
142020
CAT-COSMO-CAMPD: Integrated in silico design of catalysts and processes based on quantum chemistry
C Gertig, L Fleitmann, C Hemprich, J Hense, A Bardow, K Leonhard
Computers & Chemical Engineering 153, 107438, 2021
102021
In-tegrated design of solvents in hybrid reaction-separation processes using COSMO-RS
L Fleitmann, J Scheffczyk, P Schäfer, C Jens, K Leonhard, A Bardow
Chem. Eng 69, 2018
102018
Ultimate reaction selectivity limits for intensified reactor–separators
JA Frumkin, L Fleitmann, MF Doherty
Industrial & Engineering Chemistry Research 58 (15), 6042-6048, 2018
72018
APPROPRIATE Life Cycle Assessment: A PROcess-Specific, PRedictive Impact AssessmenT Method for Emerging Chemical Processes
J Kleinekorte, J Kleppich, L Fleitmann, V Beckert, L Blodau, A Bardow
ACS Sustainable Chemistry & Engineering 11 (25), 9303-9319, 2023
62023
Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning
L Fleitmann, P Ackermann, J Schilling, J Kleinekorte, JG Rittig, ...
Energy & Fuels 37 (3), 2213-2229, 2023
52023
Optimal experimental design of physical property measurements for optimal chemical process simulations
L Fleitmann, J Pyschik, L Wolff, J Schilling, A Bardow
Fluid Phase Equilibria 557, 113420, 2022
52022
From molecules to heat‐integrated processes: computer‐aided design of solvents and processes using quantum chemistry
L Fleitmann, C Gertig, J Scheffczyk, J Schilling, K Leonhard, A Bardow
Chemie Ingenieur Technik 95 (3), 368-380, 2023
42023
Making more from bio-based platforms: life cycle assessment and techno-economic analysis of N-vinyl-2-pyrrolidone from succinic acid
MO Haus, B Winter, L Fleitmann, R Palkovits, A Bardow
Green Chemistry 24 (17), 6671-6684, 2022
42022
Integrated In Silico design of catalysts and processes based on quantum chemistry
C Gertig, L Fleitmann, C Hemprich, J Hense, A Bardow, K Leonhard
Computer Aided Chemical Engineering 48, 889-894, 2020
42020
Computer-aided molecular design by combining genetic algorithms and COSMO-RS
J Scheffczyk, L Fleitmann, A Schwarz, A Bardow, K Leonhard
Computer Aided Chemical Engineering 38, 115-120, 2016
32016
Optimal physical property data for process simulations by optimal experimental design
L Fleitmann, J Pyschik, L Wolff, A Bardow
Computer Aided Chemical Engineering 50, 851-857, 2021
22021
Predictive Life Cycle Assessment with Limited Training Data: Artificial Neural Networks Vs. Gaussian Process Regression
J Kleinekorte, V Beckert, L Fleitmann, L Kröger, K Leonhard, A Bardow
2020 Virtual AIChE Annual Meeting, 2020
12020
Combining process short cuts and artificial neural networks for predictive life cycle assessment of chemicals
J Kleinekorte, M Welz, LHJ Fleitmann, LC Kröger, K Leonhard, A Bardow
Foundations of Process Analytics and Machine learning (FOPAM 2019), 2019
12019
Energieeffizienz vs. Umweltauswirkungen: Integration von Molekül‐und Prozessdesign mit prädiktiver Ökobilanzierung
J Kleinekorte, L Fleitmann, J Scheffczyk, A Bardow
Chemie Ingenieur Technik 90 (9), 1163-1163, 2018
12018
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