Designing biocompatible high entropy alloys using Monte Carlo simulations
Аутори
Marković, GordanaManojlović, Vaso
Sokić, Miroslav
Ruzic, Jovana
Milojkov, Dušan
Остала ауторства
Balanović, LjubišaTanikić, Dejan
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
This study examines the potential of high-entropy alloys (HEAs) as promising biomaterials, with a specific
focus on the development of alloys with a low Young's modulus. Utilizing Monte Carlo simulations coupled
with machine learning techniques, the research identifies critical variables that significantly influence the
Young’s modulus, uncovering a notable correlation between specific heat and the elastic properties of the
alloys. The validation of the Extra Trees Regressor as a reliable predictive model in this study, furthermore,
facilitates the identification of promising HEAs with tailored properties. These findings provide significant
insights that are expected to guide future progresses in the development of HEAs as advanced biomaterials.
Кључне речи:
HEA / Monte Carlo simulations / Young’s modulusИзвор:
The 54th International October Conference on Mining and Metallurgy, 2023, 527-530Издавач:
- Bor : University of Belgrade, Technical Faculty in Bor
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200023 (Институт за технологију нуклеарних и других минералних сировина - ИТНМС, Београд) (RS-MESTD-inst-2020-200023)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200135 (Универзитет у Београду, Технолошко-металуршки факултет) (RS-MESTD-inst-2020-200135)
Институција/група
Institut za tehnologiju nuklearnih i drugih mineralnih sirovinaTY - CONF AU - Marković, Gordana AU - Manojlović, Vaso AU - Sokić, Miroslav AU - Ruzic, Jovana AU - Milojkov, Dušan PY - 2023 UR - https://ritnms.itnms.ac.rs/handle/123456789/1216 AB - This study examines the potential of high-entropy alloys (HEAs) as promising biomaterials, with a specific focus on the development of alloys with a low Young's modulus. Utilizing Monte Carlo simulations coupled with machine learning techniques, the research identifies critical variables that significantly influence the Young’s modulus, uncovering a notable correlation between specific heat and the elastic properties of the alloys. The validation of the Extra Trees Regressor as a reliable predictive model in this study, furthermore, facilitates the identification of promising HEAs with tailored properties. These findings provide significant insights that are expected to guide future progresses in the development of HEAs as advanced biomaterials. PB - Bor : University of Belgrade, Technical Faculty in Bor C3 - The 54th International October Conference on Mining and Metallurgy T1 - Designing biocompatible high entropy alloys using Monte Carlo simulations EP - 530 SP - 527 ER -
@conference{ author = "Marković, Gordana and Manojlović, Vaso and Sokić, Miroslav and Ruzic, Jovana and Milojkov, Dušan", year = "2023", abstract = "This study examines the potential of high-entropy alloys (HEAs) as promising biomaterials, with a specific focus on the development of alloys with a low Young's modulus. Utilizing Monte Carlo simulations coupled with machine learning techniques, the research identifies critical variables that significantly influence the Young’s modulus, uncovering a notable correlation between specific heat and the elastic properties of the alloys. The validation of the Extra Trees Regressor as a reliable predictive model in this study, furthermore, facilitates the identification of promising HEAs with tailored properties. These findings provide significant insights that are expected to guide future progresses in the development of HEAs as advanced biomaterials.", publisher = "Bor : University of Belgrade, Technical Faculty in Bor", journal = "The 54th International October Conference on Mining and Metallurgy", title = "Designing biocompatible high entropy alloys using Monte Carlo simulations", pages = "530-527" }
Marković, G., Manojlović, V., Sokić, M., Ruzic, J.,& Milojkov, D.. (2023). Designing biocompatible high entropy alloys using Monte Carlo simulations. in The 54th International October Conference on Mining and Metallurgy Bor : University of Belgrade, Technical Faculty in Bor., 527-530.
Marković G, Manojlović V, Sokić M, Ruzic J, Milojkov D. Designing biocompatible high entropy alloys using Monte Carlo simulations. in The 54th International October Conference on Mining and Metallurgy. 2023;:527-530..
Marković, Gordana, Manojlović, Vaso, Sokić, Miroslav, Ruzic, Jovana, Milojkov, Dušan, "Designing biocompatible high entropy alloys using Monte Carlo simulations" in The 54th International October Conference on Mining and Metallurgy (2023):527-530.