Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data. - Jan-Tobias Sohns; Michaela Schmitt; Fabian Jirasek; Hans Hasse; Heike Leitte (CoRR, 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 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)

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; et al. (CoRR, 2023)

Visual Scalar Matrix Evaluation: An Application to Thermodynamics. - Jan-Tobias Sohns; Dominik Gond; Fabian Jirasek; Hans Hasse; Heike Leitte (VisGap@EuroVis, 2024)

Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties. - Johannes Zenn; Dominik Gond; Fabian Jirasek; Robert Bamler (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)

Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0. - Nicolas Hayer; Thorsten Wendel; Stephan Mandt; 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)

Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures. - Dominik Gond; Jan-Tobias Sohns; Heike Leitte; Hans Hasse; Fabian Jirasek (CoRR, 2024)

KnowTD─An Actionable Knowledge Representation System for Thermodynamics. - Luisa Vollmer; Sophie Fellenz; Fabian Jirasek; Heike Leitte; Hans Hasse (J. Chem. Inf. Model., 2024)

GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures. - Marco Hoffmann; Hans Hasse; Fabian Jirasek (CoRR, 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, 2025)

MLPROP - an open interactive web interface for thermophysical property prediction with machine learning. - Marco Hoffmann; Thomas Specht; Nicolas Hayer; Hans Hasse; Fabian Jirasek (CoRR, 2025)

Superstudent intelligence in thermodynamics. - Rebecca Loubet; Pascal Zittlau; Marco Hoffmann; Luisa Vollmer; Sophie Fellenz; Heike Leitte; Fabian Jirasek; Johannes Lenhard; Hans Hasse (CoRR, 2025)