| A review of the application of machine learning and data mining approaches in continuum materials mechanics FE Bock, RC Aydin, CJ Cyron, N Huber, SR Kalidindi, B Klusemann Frontiers in Materials 6, 110, 2019 | 385 | 2019 |
| Experimental and numerical thermo-mechanical analysis of wire-based laser metal deposition of Al-Mg alloys FE Bock, J Herrnring, M Froend, J Enz, N Kashaev, B Klusemann Journal of Manufacturing Processes 64, 982-995, 2021 | 39 | 2021 |
| Thinner and better:(Ultra-) low grammage bacterial cellulose nanopaper-reinforced polylactide composite laminates M Hervy, F Bock, KY Lee Composites Science and Technology 167, 126-133, 2018 | 26 | 2018 |
| Thermal analysis of laser additive manufacturing of aluminium alloys: Experiment and simulation FE Bock, M Froend, J Herrnring, J Enz, N Kashaev, B Klusemann AIP Conference Proceedings 1960 (1), 140004, 2018 | 16 | 2018 |
| Hybrid Modelling by Machine Learning Corrections of Analytical Model Predictions towards High-Fidelity Simulation Solutions FE Bock, S Keller, N Huber, B Klusemann Materials 14 (8), 1883, 2021 | 14 | 2021 |
| Mechanical Performance Prediction for Friction Riveting Joints of Dissimilar Materials via Machine Learning FE Bock, LA Blaga, B Klusemann Procedia Manufacturing 47, 615-622, 2020 | 13 | 2020 |
| Experimental investigation of temperature distribution during wire-based laser metal deposition of the Al-Mg alloy 5087 M Froend, FE Bock, S Riekehr, N Kashaev, B Klusemann, J Enz Materials Science Forum 941, 988-994, 2018 | 9 | 2018 |
| Deformation by design: Data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming ST Sala, FE Bock, D Pöltl, N Huber, B Klusemann, N Kashaev Journal of Intelligent Manufacturing, 2023 | 7 | 2023 |
| Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing FE Bock, Z Kallien, N Huber, B Klusemann Computer methods in applied mechanics and engineering 418, 116453, 2024 | 4 | 2024 |
| System for non-destructive inspection of structural components W Bisle, D Scherling, F Bock, M Rahammer, I Solodov US Patent 10,018,600, 2018 | 3 | 2018 |
| Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data B Klusemann, FE Bock, T Paulsen, N Brkovic, L Rieckmann, D Kroeger, ... Prof. Anne Marie Habraken, 2021 | 1 | 2021 |
| Prediction of mechanical performances in Solid-State Joining Processes via Machine Learning B Klusemann, F Bock, U Suhuddin, L Blaga Materials Science and Engineering Congress-MSE 2020, 2020 | | 2020 |
| (Ultra-) low grammage bacterial cellulose nanopaper-reinforced polylactide composite laminates M Hervy, FE Bock, KY Lee ECCM 2018-18th European Conference on Composite Materials, 2018 | | 2018 |
| Thin ply bacterial cellulose-reinforced polylactide nanocomposites M Hervy, F Bock, KY Lee ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 253, 2017 | | 2017 |
Benjamin KlusemannLeuphana University Lüneburg and Helmholtz-Zentrum HereonBestätigte E-Mail-Adresse bei leuphana.de
