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ORCIDFabian Jirasek
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2020 – today
- 2026
[j4]Rébecca Loubet
, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
Using large language models for solving textbook-style thermodynamic problems. Comput. Chem. Eng. 204: 109333 (2026)- 2025
- [c2]Luisa Vollmer, Rébecca Loubet, Fabian Jirasek, Sophie Fellenz, Hans Hasse, Heike Leitte:
Enabling Transparent Problem Solving in Thermodynamics with Ontologies and Knowledge Graphs. ESWC-JP 2025 - [i16]Marco Hoffmann, Hans Hasse, Fabian Jirasek:
GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures. CoRR abs/2501.08729 (2025) - [i15]Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
Using Large Language Models for Solving Thermodynamic Problems. CoRR abs/2502.05195 (2025) - [i14]Marco Hoffmann, Thomas Specht, Nicolas Hayer, Hans Hasse, Fabian Jirasek:
MLPROP - an open interactive web interface for thermophysical property prediction with machine learning. CoRR abs/2504.05970 (2025) - [i13]Rébecca Loubet, Pascal Zittlau, Marco Hoffmann, Luisa Vollmer, Sophie Fellenz, Heike Leitte, Fabian Jirasek, Johannes Lenhard, Hans Hasse:
Superstudent intelligence in thermodynamics. CoRR abs/2506.09822 (2025) - [i12]Marco Hoffmann, Thomas Specht, Quirin Göttl, Jakob Burger, Stephan Mandt, Hans Hasse, Fabian Jirasek:
A machine-learned expression for the excess Gibbs energy. CoRR abs/2509.06484 (2025) - [i11]Mayank Nagda, Phil Ostheimer, Justus Arweiler, Indra Jungjohann, Jennifer Werner, Dennis Wagner, Aparna Muraleedharan, Pouya Jafari, Jochen Schmid, Fabian Jirasek, Jakob Burger, Michael Bortz, Hans Hasse, Stephan Mandt, Marius Kloft, Sophie Fellenz:
DiffStyleTS: Diffusion Model for Style Transfer in Time Series. CoRR abs/2510.11335 (2025) - [i10]Dennis Wagner, Arjun Nair, Billy Joe Franks, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Fabian Hartung, Mayank C. Ahuja, Andriy Balinskyy, Saurabh Varshneya, Nabeel Hussain Syed, Mayank Nagda, Philipp Liznerski, Steffen Reithermann, Maja Rudolph, Sebastian Vollmer, Ralf Schulz, Torsten Katz, Stephan Mandt, Michael Bortz, Heike Leitte, Daniel Neider, Jakob Burger, Fabian Jirasek, Hans Hasse, Sophie Fellenz, Marius Kloft:
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics. CoRR abs/2510.17562 (2025) - [i9]Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, Heike Leitte, Jakob Burger, Kerstin Münnemann, Fabian Jirasek, Hans Hasse:
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods. CoRR abs/2510.18075 (2025) - 2024
- [j3]Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
KnowTD─An Actionable Knowledge Representation System for Thermodynamics. J. Chem. Inf. Model. 64(15): 5878-5887 (2024) - [c1]Jan-Tobias Sohns, Dominik Gond, Fabian Jirasek, Hans Hasse, Heike Leitte:
Visual Scalar Matrix Evaluation: An Application to Thermodynamics. VisGap@EuroVis 2024 - [i8]Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler:
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties. CoRR abs/2406.08075 (2024) - [i7]Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
KnowTD-An Actionable Knowledge Representation System for Thermodynamics. CoRR abs/2407.17169 (2024) - [i6]Thomas Specht, Mayank Nagda, Sophie Fellenz, Stephan Mandt, Hans Hasse, Fabian Jirasek:
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction. CoRR abs/2407.18011 (2024) - [i5]Nicolas Hayer, Thorsten Wendel, Stephan Mandt, Hans Hasse, Fabian Jirasek:
Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0. CoRR abs/2408.05220 (2024) - [i4]Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz:
SetPINNs: Set-based Physics-informed Neural Networks. CoRR abs/2409.20206 (2024) - [i3]Dominik Gond, Jan-Tobias Sohns, Heike Leitte, Hans Hasse, Fabian Jirasek:
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures. CoRR abs/2410.06060 (2024) - 2023
- [i2]Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Klöpper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft:
Deep Anomaly Detection on Tennessee Eastman Process Data. CoRR abs/2303.05904 (2023) - 2022
- [j2]Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte:
Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 28(1): 540-550 (2022) - 2021
- [j1]Thomas Specht, Kerstin Münnemann, Hans Hasse, Fabian Jirasek:
Automated Methods for Identification and Quantification of Structural Groups from Nuclear Magnetic Resonance Spectra Using Support Vector Classification. J. Chem. Inf. Model. 61(1): 143-155 (2021) - [i1]Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte:
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data. CoRR abs/2108.08706 (2021)
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