7 citations · 7 across the 2 of their papers we have counts for
4 papers · 1 filter
Data-driven body-centered cubic phase prediction in cobalt free high-entropy alloys
Xuliang Luo, Yulin Li, Tero Mäkinen +3
High-entropy alloys (HEAs) are known for superb combination of performance attributes, making them ideal for advanced applications, e.g., nuclear engineering. The concept of cobalt…
Stochastic ion emission perturbation mechanisms in atom probe tomography: Linking simulations to experiment
Aslam Shaikh, Tero Mäkinen, François Vurpillot +2
Field evaporation in atom probe tomography (APT) includes known processes related to surface migration of atoms, such as the so-called roll-up mechanism. They lead to trajectory ab…
Growth and prediction of plastic strain in metallic glasses
Tero Mäkinen, Anshul D. S. Parmar, Silvia Bonfanti +1
Predicting the failure and plasticity of solids remains a longstanding challenge, with broad implications for materials design and functional reliability. Disordered solids like me…
Bayesian exploration of the composition space of CuZrAl metallic glasses for mechanical properties
Tero Mäkinen, Anshul D. S. Parmar, Silvia Bonfanti +1
Designing metallic glasses in silico is a major challenge in materials science given their disordered atomic structure and the vast compositional space to explore. Here, we tackle…