Dr. Timo Bernthaler

Room

F ZIMATE

Telephone

+49 7361 576-7100

Email Address

Timo.Bernthaler[at]hs-aalen.de

Publications

Institute for Materials Research (IMFAA)

Mritunjay M. Hiremath, Nikhar Doshi, Timo Bernthaler, Pascal Anger, Sushil K. Mishra, Anirban Guha, Asim Tewari ISSN: 0142-1123,

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Mritunjay M. Hiremath, Nikhar Doshi, Timo Bernthaler, Pascal Anger, Sushil K. Mishra, Anirban Guha, Asim Tewari ISSN: 0142-1123, URN: urn:nbn:de:bsz:944-opus4-91467,

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Gudrun Wilhelm, Ute Golla-Schindler, Timo Bernthaler, Ute Kaiser, Gerhard Schneider ISSN: 0968-4328,

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Gaby Ketzer-Raichle, Tim Schubert, Markus Schwenger, Dirk Staudenecker, Timo Bernthaler, Christof Metzmacher, Gerhard Schneider ISSN: 0032-678X,

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Andreas Jansche, Patrick Krawczyk, Miguelangel Balaguera, Anoop Kini, Timo Bernthaler, Gerhard Schneider ISSN: 2942-3899,

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Mritunjay M Hiremath, Timo Bernthaler, Pascal Anger, Sushil K Mishra, Anirban Guha, Asim Tewari ISSN: 0731-6844, URN: urn:nbn:de:bsz:944-opus4-91478,

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Artificial Intelligence & Computer Science Bachelor Artificial Intelligence & Data Science

Dr. Timo Bernthaler

Publications

Microstructural damage-dependent residual strength prediction in fatigued composites through a data-driven Bayesian approach

3D damage evolution and microstructural-based machine learning model for stiffness prediction in woven composite under cyclic loads

Chemical analysis of spherical and fiber structures on lithium-ion batteries anodes using SEM, EDS and SIMS

Contribution to microstructure formation and phase determination in nickel-based solder joints depending on the solder gap width

Deep learning-based image super resolution methods in microscopy – a review

Microstructural damage dependent machine learning model to predict stiffness reduction in damaged GFRP composites