Publications of Navyanth Kusampudi

Raabe, D.; Sun, B.; Kwiatkowski da Silva, A.; Gault, B.; Yen, H.-W.; Sedighiani, K.; Prithiv, T. S.; Souza Filho, I. R.; Katnagallu, S.; Jägle, E. A. et al.; Kürnsteiner, P.; Kusampudi, N.; Stephenson, L.; Herbig, M.; Liebscher, C.; Springer, H.; Zaefferer, S.; Shah, V.; Wong, S. L.; Baron, C.; Diehl, M.; Roters, F.; Ponge, D.: Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels. Metallurgical and Materials Transactions A 51, pp. 5517 - 5586 (2020)

Kusampudi, N.; Diehl, M.: Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization. Working Group Microstructural Mechanics, Deutsche Gesellschaft für Materialkunde e.V., Applications of Machine Learning for Mechanical Behavior of Materials, Online (2022)

Diehl, M.; Kusampudi, N.: Using machine learning and crystal plasticity simulation to design damage resistant dual phase steels. Webinar: Metal Plasticity Seminar - Artificial Intelligence, Machine Learning and Big Data in Metal Plasticity, Leuven, Belgium (2021)

Diehl, M.; Kusampudi, N.; Kusche, C.; Raabe, D.; Korte-Kerzel, S.: Combining Experiments, Simulations, and Data Science to Understand Damage in Dual Phase Steels. International Conference on Plasticity, Damage, and Fracture, Riviera May, Mexico (2020)

Kusampudi, N.: Using Machine Learning and Data-driven Approaches to Predict Damage Initiation in Dual-Phase Steels. Master, Ruhr-Universität Bochum (2020)