Pedrazzini, S.; Pek, M.; Ackerman, A.; Cheng, Q.; Ali, H.; Ghadbeigi, H.; Mumtaz, K.; Dessolier, T.; Britton, B.; Bajaj, P.et al.; Aime Jägle, E.; Gault, B.; London, A. J.; Galindo-Nava, E.: Effect of Substrate Bed Temperature on Solute Segregation and Mechanical Properties in Ti–6Al–4V Produced by Laser Powder Bed Fusion. Metallurgical and Materials Transactions A 54 (8), pp. 3069 - 3085 (2023)
Aota, L. S.; Bajaj, P.; Sandim, H. R. Z.; Jägle, E. A.: Laser Powder-Bed Fusion as an Alloy Development Tool: Parameter Selection for In-Situ Alloying Using Elemental Powders. Materials 13 (18), 3922 (2020)
Bajaj, P.; Hariharan, A.; Kini, A.; Kürnsteiner, P.; Raabe, D.; Jägle, E. A.: Steels in additive manufacturing: A review of their microstructure and properties. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 772, 138633 (2020)
Bajaj, P.; Gupta, A.; Jägle, E. A.; Raabe, D.: Precipitation kinetics during non-linear heat treatment in Laser Additive Manufacturing. International Conference on Advanced Materials and Processes, ‘ADMAT 2017’ SkyMat, Thiruvananthapuram, India (2017)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.