Fabian Jirasek

According to our database, Fabian Jirasek authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Using Large Language Models for Solving Thermodynamic Problems.

Rebecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse

CoRR, February, 2025

GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures.

Marco Hoffmann, Hans Hasse, Fabian Jirasek

CoRR, January, 2025

2024

KnowTD─An Actionable Knowledge Representation System for Thermodynamics.

Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse

J. Chem. Inf. Model., 2024

Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures.

Dominik Gond, Jan-Tobias Sohns, Heike Leitte, Hans Hasse, Fabian Jirasek

CoRR, 2024

SetPINNs: Set-based Physics-informed Neural Networks.

Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz

CoRR, 2024

Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0.

Nicolas Hayer, Thorsten Wendel, Stephan Mandt, Hans Hasse, Fabian Jirasek

CoRR, 2024

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction.

Thomas Specht, Mayank Nagda, Sophie Fellenz, Stephan Mandt, Hans Hasse, Fabian Jirasek

CoRR, 2024

Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties.

Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler

CoRR, 2024

Visual Scalar Matrix Evaluation: An Application to Thermodynamics.

Jan-Tobias Sohns, Dominik Gond, Fabian Jirasek, Hans Hasse, Heike Leitte

Proceedings of the Gap between Visualization Research and Visualization Software, 2024

2023

Deep Anomaly Detection on Tennessee Eastman Process Data.

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

CoRR, 2023

2022

Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data.

Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte

IEEE Trans. Vis. Comput. Graph., 2022

2021

Automated Methods for Identification and Quantification of Structural Groups from Nuclear Magnetic Resonance Spectra Using Support Vector Classification.

Thomas Specht, Kerstin Münnemann, Hans Hasse, Fabian Jirasek

J. Chem. Inf. Model., 2021

Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data.

Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte

CoRR, 2021