Machine Learning Steel Ms Temperature
Тип публикации: Journal Article
Дата публикации: 2021-03-01
scimago Q2
wos Q3
БС2
SJR: 0.382
CiteScore: 3.8
Impact factor: 2.0
ISSN: 00375497, 17413133
Computer Graphics and Computer-Aided Design
Software
Modeling and Simulation
Краткое описание
Empirical equations, thermodynamics frameworks, and neural network modeling have been developed to predict steel martensite start temperature, [Formula: see text], but they might not tend to generalize well when composition includes a wide range of alloying elements. In this study, we develop the Gaussian process regression (GPR) model to shed light on the relationship between alloying elements and [Formula: see text] temperature for steels. A total of 1119 steels with [Formula: see text] ranging from 153 K to 938 K are examined. The model has a high degree of accuracy and stability, contributing to fast low-cost [Formula: see text] temperature estimations.
Найдено
Ничего не найдено, попробуйте изменить настройки фильтра.
Найдено
Ничего не найдено, попробуйте изменить настройки фильтра.
Топ-30
Журналы
|
1
2
3
|
|
|
Neural Computing and Applications
3 публикации, 7.89%
|
|
|
Ironmaking and Steelmaking
3 публикации, 7.89%
|
|
|
Materials Circular Economy
3 публикации, 7.89%
|
|
|
Mineral Economics
3 публикации, 7.89%
|
|
|
Quality and Quantity
3 публикации, 7.89%
|
|
|
Simulation
2 публикации, 5.26%
|
|
|
Journal of Modelling in Management
2 публикации, 5.26%
|
|
|
Advances in Computational Intelligence
2 публикации, 5.26%
|
|
|
Metals
1 публикация, 2.63%
|
|
|
Journal of Materials Science
1 публикация, 2.63%
|
|
|
Decision Analytics Journal
1 публикация, 2.63%
|
|
|
Materials Genome Engineering Advances
1 публикация, 2.63%
|
|
|
AEJ - Alexandria Engineering Journal
1 публикация, 2.63%
|
|
|
Journal of Uncertain Systems
1 публикация, 2.63%
|
|
|
Engineering Economist
1 публикация, 2.63%
|
|
|
Journal of Financial Management of Property and Construction
1 публикация, 2.63%
|
|
|
Innovation And Emerging Technologies
1 публикация, 2.63%
|
|
|
Combinatorial Chemistry and High Throughput Screening
1 публикация, 2.63%
|
|
|
International Journal of Big Data Mining for Global Warming
1 публикация, 2.63%
|
|
|
Energy Science
1 публикация, 2.63%
|
|
|
Applied Physics A: Materials Science and Processing
1 публикация, 2.63%
|
|
|
International Journal of Mathematics for Industry
1 публикация, 2.63%
|
|
|
Journal of Transition Economics and Finance
1 публикация, 2.63%
|
|
|
Economics Open
1 публикация, 2.63%
|
|
|
International Journal of Financial Engineering
1 публикация, 2.63%
|
|
|
1
2
3
|
Издатели
|
2
4
6
8
10
12
14
16
|
|
|
Springer Nature
16 публикаций, 42.11%
|
|
|
World Scientific
7 публикаций, 18.42%
|
|
|
SAGE
5 публикаций, 13.16%
|
|
|
Emerald
3 публикации, 7.89%
|
|
|
Elsevier
2 публикации, 5.26%
|
|
|
MDPI
1 публикация, 2.63%
|
|
|
Wiley
1 публикация, 2.63%
|
|
|
Taylor & Francis
1 публикация, 2.63%
|
|
|
Bentham Science Publishers Ltd.
1 публикация, 2.63%
|
|
|
2
4
6
8
10
12
14
16
|
- Мы не учитываем публикации, у которых нет DOI.
- Статистика публикаций обновляется еженедельно.
Вы ученый?
Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
Метрики
38
Всего цитирований:
38
Цитирований c 2024:
31
(81.58%)
Цитировать
ГОСТ |
RIS |
BibTex |
MLA
Цитировать
ГОСТ
Скопировать
Zhang Y., Xu X. Machine Learning Steel Ms Temperature // Simulation. 2021. Vol. 97. No. 6. pp. 383-425.
ГОСТ со всеми авторами (до 50)
Скопировать
Zhang Y., Xu X. Machine Learning Steel Ms Temperature // Simulation. 2021. Vol. 97. No. 6. pp. 383-425.
Цитировать
RIS
Скопировать
TY - JOUR
DO - 10.1177/0037549721995574
UR - https://doi.org/10.1177/0037549721995574
TI - Machine Learning Steel Ms Temperature
T2 - Simulation
AU - Zhang, Yun
AU - Xu, Xiaojie
PY - 2021
DA - 2021/03/01
PB - SAGE
SP - 383-425
IS - 6
VL - 97
SN - 0037-5497
SN - 1741-3133
ER -
Цитировать
BibTex (до 50 авторов)
Скопировать
@article{2021_Zhang,
author = {Yun Zhang and Xiaojie Xu},
title = {Machine Learning Steel Ms Temperature},
journal = {Simulation},
year = {2021},
volume = {97},
publisher = {SAGE},
month = {mar},
url = {https://doi.org/10.1177/0037549721995574},
number = {6},
pages = {383--425},
doi = {10.1177/0037549721995574}
}
Цитировать
MLA
Скопировать
Zhang, Yun, and Xiaojie Xu. “Machine Learning Steel Ms Temperature.” Simulation, vol. 97, no. 6, Mar. 2021, pp. 383-425. https://doi.org/10.1177/0037549721995574.