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Papers matching “data-driven process models” 43

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Towards hybrid and explainable data-driven models for forming processes: addressing the gap between simulation, process data, and model validation
2026 Research Square preprint Engineering Metal Forming Simulation Techniques Open access

Daria Gelbich, Markus Schumann, Jonas Moske, Philipp Niemietz, Pascal Heinzelmann, Jonas Knoche, +16 more

0

citations
Real-Life Data-Driven Model Predictive Control for Building Energy Systems Comparing Different Machine Learning Models
2023 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

3

citations
A Data-Driven Framework for Retail Inventory Optimization: Integrating Object-Centric Process Mining and Mathematical Models
2025 preprint Business, Management and Accounting Business Process Modeling and Analysis Open access

Dina Kretzschmann, Wil M. P. van der Aalst

1

citations
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory
2023 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos

0

citations
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining
2020 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access

Mahsa Pourbafrani, Wil M. P. van der Aalst

2

citations
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos

0

citations
A Data-driven Reduced Order Modeling Approach Applied In Context Of Numerical Analysis And Optimization Of Plastic Profile Extrusion
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Norbert Hosters

0

citations
Data-driven dynamic modelling identifies polyploidisation as key process in cell cycle progression upon DNA damage
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Cancer-related Molecular Pathways

Elsje J Burgers, Muriel M. Heldring, Lukas S. Wijaya, Tamara Y Danilyuk, Sebastiaan J Molenaar, Peter Bouwman, +3 more

0

citations
Data-Driven Reduced Order Surrogate Modeling for Coronary In-Stent Restenosis
2024 SSRN Electronic Journal preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Jianye Shi, Kiran Manjunatha, Felix Jan Vogt, Stefanie Reese

0

citations
From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How
2026 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Moein E. Samadi, Andreas Schuppert

0

citations
A Joint Data- and Model-Driven Approach Simulating the Behaviour of a Walkalong Glider
2023 preprint Engineering Aerospace and Aviation Technology Open access

Dieuwertje Alblas, Mark van den Bosch, Vivi Rottschäfer, Felix L. Schwenninger, Len Spek, Lotte Weedage, +1 more

0

citations
Modeling the Memory of Unmyelinated Axons: Integration of a Data-Driven Approach with Physiological Memory Concept
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Ion channel regulation and function Open access

Anna Maxion, Jenny Tigerholm, Barbara Namer, Ekaterina Kutafina

0

citations
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access

Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, +9 more

0

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin

1

citations
KNOWLEDGE GRAPH CONSTRUCTION FROM MATERIALS SCIENCE LITERATURE USING LARGE LANGUAGE MODELS AND ADVANCED DATA PREPROCESSING
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Nasrin Mohammadi, Max Dreger, Diego Collarana, Mohammad J. Eslamibidgoli, Kourosh Malek, M. Eikerling

1

citations
Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems
2020 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Arturs Bērziņš, Jan Helmig, Fabian Key, Stefanie Elgeti

15

citations
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
2021 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Extracting Rules from Event Data for Study Planning
2023 arXiv (Cornell University) preprint Computer Science Online Learning and Analytics Open access

Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, +1 more

1

citations
Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marah Almanasreh, Alexander Mitsos, Eike Cramer

0

citations
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch

0

citations
CLEAR: An Auditable Foundation Model for Radiology Grounded in Clinical Concepts
2026 medRxiv preprint Medicine Artificial Intelligence in Healthcare and Education Open access

Riga Wu, Yu Xing Tian, Firas Khader, Lisa C. Adams, Keno K. Bressem, Christos A. Davatzikos, +5 more

0

citations
Bayesian calibration, process modeling and uncertainty quantification in biotechnology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges

4

citations
MuViS: Multimodal Virtual Sensing Benchmark
2026 arXiv (Cornell University) preprint Engineering Control Systems and Identification Open access

Jens U. Brandt, Noah C. Puetz, Jobel Jose George, Niharika Vinay Kumar, Elena Raponi, Marc Hilbert, +2 more

0

citations