Search results 9680 items matching your search terms. Topology optimization of an automotive hood for multiple load cases and disciplines Download der Folien des Webinars vom 19. November 2021 Located in Download / Präsentationen / 2021 CO2-HyChain: DYNAmore part of the funded research project on CO2 savings in functional lightweight construction At around 160 million tons, road traffic is responsible for about 20% of total CO2 emissions in Germany. One way of lowering this figure is to reduce vehicle weight through functional lightweight construction. The "CO2-HyChain" ... Located in News / Press Releases / 2021 CO2-HyChain: DYNAmore Teil des Forschungsprojekts zur CO2-Einsparung im funktionalen Leichtbau Mit etwa 160 Millionen Tonnen verursacht der Straßenverkehr circa 20% des gesamten CO2-Ausstoßes in Deutschland. Eine Möglichkeit, diesen Wert zu senken, liegt in der Re-duktion des Fahrzeuggewichts durch funktionalen Leichtbau. Das ... Located in News / Pressemitteilungen / 2021 Bild_3.jpg Located in News / … / 2021 / CO2-HyChain: DYNAmore part of the funded research project on CO2 savings in functional lightweight construction Bild_1.jpg Located in News / … / 2021 / CO2-HyChain: DYNAmore part of the funded research project on CO2 savings in functional lightweight construction Bild_3.jpg Located in News / … / 2021 / CO2-HyChain: DYNAmore Teil des Forschungsprojekts zur CO2-Einsparung im funktionalen Leichtbau Bild_1.jpg Located in News / … / 2021 / CO2-HyChain: DYNAmore Teil des Forschungsprojekts zur CO2-Einsparung im funktionalen Leichtbau Talk on ML and ROM The talk "Machine Learning and Reduced Order Modelling for HPC Intensive CAE Application" from Dr. Kambiz Kayvantash. Located in News / News en / 2021 Vortrag über ML und ROM Der Vortrag "Machine Learning and Reduced Order Modelling for HPC Intensive CAE Application" von Dr. Kambiz Kayvantash. Located in News / News de / 2021 ATTENTION research project Located in News / News en / 2021 Previous 10 items 1 ... 119 120 121 122 123 124 125 ... 968 Next 10 items