activity
20232026
most citedData-driven body-centered cubic phase prediction in cobalt free high-entropy alloys

8 citations · 15 across the 7 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2026★ 8 cited

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…

cond-mat.mtrl-sci2025

Recent Advances in Metallic Glasses

Silvia Bonfanti, Ralf Busch, Jesper Byggmästar +12

This paper reviews recent advances in the field of metallic glasses, focusing on the development of novel experimental techniques and in silico models. We discuss progress in exper…

cond-mat.dis-nn2025

Fracture toughness and auxeticity in disordered metamaterials

Hannes Holey, Andrea Lorenzo Henri Sergio Detry, Silvia Bonfanti +6

Auxetic metamaterials are commonly thought to exhibit favorable mechanical properties, notably high energy absorption. Here we investigate disordered metamaterials obtained from ra…

cond-mat.mtrl-sci2025

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…

cond-mat.mtrl-sci2025★ 6 cited

Exploring the impact of Ti/Al on L12 nanoprecipitation and deformation behavior in CoNiFeAlTi multi-principal element alloys through atomistic simulations

Amin Esfandiarpour, Anshul D. S. Parmar, Silvia Bonfanti +3

Recent studies on CoNi-based multi-principal element alloys (MPEAs) have demonstrated high strength and ductility, attributed to the formation of stable L12 nanoscale precipitates.…

cond-mat.mtrl-sci2025

Efficient training of machine learning potentials for metallic glasses: CuZrAl validation

Antoni Wadowski, Anshul D. S. Parmar, Filip Kaśkosz +4

Interatomic potentials are key to uncovering microscopic structure-property relationships, essential for multiscale simulations and high-throughput experiments. For metallic glasse…

cond-mat.mtrl-sci2024

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…

cond-mat.stat-mech2024

Avalanches in CuZrAl metallic glasses

Tero Mäkinen, Anshul D. S. Parmar, Silvia Bonfanti +1

Metallic glasses have mechanical properties, which exhibit avalanches in the disguise of stress drops. We study these phenomena in a classical metallic glass system CuZrAl by ather…

cond-mat.dis-nn2023★ 1 cited

Transmutation-accelerated sampling method for multi-component ZrCu(Al) metallic glasses

Filip Kaskosz, Rene Alvarez-Donado, Mikko Alava +2

We investigate multi-component metallic glass systems using a hybrid Molecular Dynamics (MD) and Variance-Constrained Semi-Grand Canonical approach. This method enables us to gener…