Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

标题
Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks
作者
关键词
-
出版物
COMPUTATIONAL MECHANICS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-01-07
DOI
10.1007/s00466-020-01952-9

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now