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Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning2023 Energy & Fuels article Chemical Engineering Advanced Combustion Engine Technologies Open access
Lorenz Fleitmann, Philipp Ackermann, Johannes Schilling, Johanna Kleinekorte, Jan G. Rittig, Florian vom Lehn, +6 more
25citations -
Process model design for positive displacement compressors and their experimental validation: Comparison of Optimal Experimental Design and Machine Learning2023 International Journal of Refrigeration article Engineering Refrigeration and Air Conditioning Technologies
Christian Vering, Julian Möntenich, Martin Rätz, Tim Klebig, Rita Streblow, Dirk Müller
4citations -
An Ising machine formulation for design updates in topology optimization of flow channels2026 Engineering With Computers article Computer Science Metaheuristic Optimization Algorithms Research Open access
Yudai Suzuki, Shiori Aoki, Fabian Key, K. Endo, Yoshiki Matsuda, Shu Tanaka, +2 more
4citations -
Mechanistic machine learning for metamaterial fatigue strength design from first principles in additive manufacturing2024 Materials & Design article Engineering Additive Manufacturing Materials and Processes Open access
Mustafa Awd, Lobna Saeed, Sebastian Münstermann, Matthias G.R. Faes, Frank Walther
10citations -
Prediction of Particle Properties in Plasma Spraying Based on Machine Learning2021 Journal of Thermal Spray Technology article Engineering High-Temperature Coating Behaviors Open access
Kirsten Bobzin, W. Wietheger, H. Heinemann, Seyed Ruhollah Dokhanchi, Michael Rom, Giuseppe Visconti
36citations -
Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb2021 Frontiers in Bioinformatics article Biochemistry, Genetics and Molecular Biology Viral Infectious Diseases and Gene Expression in Insects Open access
Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank
11citations -
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama‐Sato, Yuta Nabae, +13 more
16citations