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Stark, M.; Preuss, A.-Ch.; Pryymak, K.; Azetsu, A.; Mihara, Y.
Fuel Oil Flow Measurement
2022

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Stark, M.; Preuss, A.-Ch.; Pryymak, K.; Azetsu, A.; Mihara, Y.
Fuel Oil Flow Measurement FVV Nr. 1396 Tagungsbandbericht
2022

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Fellner, F.; Fitz, P.; Härtl, M.; Jaensch, M.
Load-Exchange Optimization for a Passive Pre-Chamber Ignition System
SAE Technical Papers
2024

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Fitz, P.; Fellner, F.; Rößlhuemer, R.; Härtl, M.; Jaensch, M.
Dual Injection Concept and Lean Burn Characteristics with Methanol on a SI-Engine
SAE Technical Papers
2024

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Kraus, C.; Fitz, P.; Härtl, M.; Jaensch, M.
Efficiency Increase for Spark-Ignited Oxygenated Fuels through Adaptation of Cylinder Head and Piston
Internationaler Motorenkongress 2023
2024

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Huang, R.; He, H.; Su, Q.; Härtl, M.; Jaensch, M.
Type and task crossing energy management for fuel cell hybrid electric vehicles with longevity consideration: A deep transfer reinforcement learning framework
Applied Energy
2025

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Armbruster, F.; Gelner, A.; Zepf, A.; Prager, M.; Härtl, M.; Jaensch, M.
Investigations on particle emissions of large-bore engines powered by natural gas and hydrogen
Environmental Science Advances
2024

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Mühlthaler, M.; Härtl, M.; Jaensch, M.
Potential Analysis of Defossilized Operation of a Heavy-Duty Dual-Fuel Engine Utilizing Dimethyl Carbonate/Methyl Formate as Primary and Poly Oxymethylene Dimethyl Ether as Pilot Fuel
SAE International Journal of Engines
2024

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Huang, R.; He, H.; Su, Q.; Härtl, M.; Jaensch, M.
Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning
Energy
2024

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Jaensch, M.
Development Trends of Electric Drivetrains in the Automotive Industry
NATO Science and Technology Organization, 22.05.2024
2024