Moser, Leonard;Schuck, Carolin Eva;Batteiger, Valentin;Biller, Patrick;Burger, Jakob
Advancing the generalized kinetic model for wet oxidation and its application to hydrothermal liquefaction aqueous phases
Journal of Water Process Engineering
2026
91
110539

Wolf, Alexander B.;Skiborowski, Mirko;Burger, Jakob
A Neural Model of Pinch-Based Multicomponent Distillation for Applications in Flowsheet Synthesis
1145-1152
Systems and Control Transactions
PSE Press
2026

Hartung, Fabian;Muraleedharan, Aparna;Kloft, Marius;Burger, Jakob
Beyond Tennessee Eastman: Benchmarking Deep Anomaly Detection on Real-World Pilot-Scale Continuous Distillation Data
1728-1736
Systems and Control Transactions
PSE Press
2026

Hoffmann, Marco;Specht, Thomas;Göttl, Quirin;Burger, Jakob;Mandt, Stephan;Hasse, Hans;Jirasek, Fabian
Thermodynamically consistent machine learning model for excess Gibbs energy
Nature Communications
2026
17
1

Arweiler, Justus;Jungjohann, Indra;Muraleedharan, Aparna;Leitte, Heike;Burger, Jakob;Münnemann, Kerstin;Jirasek, Fabian;Hasse, Hans
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
Scientific Data
2026
13
1

Waluga, Thomas;Ohde, Daniel;Ansorge-Schumacher, Marion;Benfer, Regina;Bluemke, Wilfried;Briesen, Heiko;Burger, Jakob;Drews, Anja;Gescher, Johannes;Glasmacher-Remberg, Christiane;Grünewald, Marcus;Hansen, Niels;Held, Christoph;Holtmann, Dirk;Kara, Selin;von Langermann, Jan;Liese, Andreas;Magnus, Jørgen;Pelzer, Alexander;Pleiss, Jürgen;Radespiel, Tina;Repke, Jens-Uwe;Rosenthal, Katrin;Schallmey, Anett;Smirnova, Irina;Woodley, John M.;Wucherpfennig, Thomas;Zavrel, Michael;Zeiner, Tim;Skiborowski, Mirko
Bioreactive separation technology: A retrospective and perspective
Chemical Engineering and Processing - Process Intensification
2026
224
110787

Wolf, Alexander B.;Pirnay, Jonathan;Göttl, Quirin;Grimm, Dominik G.;Burger, Jakob
Identification of Pressure‐Swing Separation Processes for Azeotropic Mixtures Using Deep Reinforcement Learning
Chemie Ingenieur Technik
2025
97
11-12
1094-1102

Nagda, Mayank;Ostheimer, Phil;Arweiler, Justus;Jungjohann, Indra;Werner, Jennifer;Wagner, Dennis;Muraleedharan, Aparna;Jafari, Pouya;Schmid, Jochen;Jirasek, Fabian;Burger, Jakob;Bortz, Michael;Hasse, Hans;Mandt, Stephan;Kloft, Marius;Fellenz, Sophie
DiffStyleTS: Diffusion Model for Style Transfer in Time Series
2025

Wagner, Dennis;Nair, Arjun;Franks, Billy Joe;Arweiler, Justus;Muraleedharan, Aparna;Jungjohann, Indra;Hartung, Fabian;Ahuja, Mayank C.;Balinskyy, Andriy;Varshneya, Saurabh;Syed, Nabeel Hussain;Nagda, Mayank;Liznerski, Phillip;Reithermann, Steffen;Rudolph, Maja;Vollmer, Sebastian;Schulz, Ralf;Katz, Torsten;Mandt, Stephan;Bortz, Michael;Leitte, Heike;Neider, Daniel;Burger, Jakob;Jirasek, Fabian;Hasse, Hans;Fellenz, Sophie;Kloft, Marius
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics
2025

Arweiler, Justus;Jungjohann, Indra;Muraleedharan, Aparna;Leitte, Heike;Burger, Jakob;Münnemann, Kerstin;Jirasek, Fabian;Hasse, Hans
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
2025