3 papers
cond-mat.mtrl-sci2025
Machine Learning Approach to Predict the Curie Temperature of Fe- and Pt-Based Alloys
Svitlana Ponomarova, Oleksandr Ponomarov, Yurii Koval
Various techniques can be employed to determine the temperature of magnetic transformation, whether it be the Curie or Neel temperature. The standard procedure typically involves c…
cond-mat.mtrl-sci2025
Machine Learning Approach to Predict Curie Temperature in Binary Alloys
Svitlana Ponomarova, Oleksandr Ponomarov, Yurii Koval
This study presents a machine learning approach to predict the Curie temperature in binary alloys, specifically focusing on the Fe-Pt, Fe-Ni, Fe-Pd, and Co-Pt compounds within a co…
cond-mat.mtrl-sci2025
The fracture toughness of molybdenum at different grain sizes under and since brittle-ductile transition: computer modeling and experiment
K. M. Borysovska, N. M. Marchenko, Yu. Koval +2
The sharp growth of the fracture toughness after brittle-ductile transition happens at grain sizes approximately equal to the plastic zone size. Here we analyze the influence of th…