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Heat Source Model Development for Thermal Analysis of Laser Powder Bed Fusion Using Bayesian Optimization and Machine Learning

Description/Abstract:

To understand the correlation between process, structures, and properties in laser powder bed fusion (L-PBF), it is essential to use nume...

Keyword:

Bayesian optimization, Heat source model, Laser powder bed fusion, Laser scanning conditions, Multiple linear regression, and Thermal analysis

Resource Type:

Article

Author:

Masahiro Kusano and Makoto Watanabe

Journal:

Integrating Materials and Manufacturing Innovation

Date Uploaded:

09/04/2024
CrySPY: a crystal structure prediction tool accelerated by machine learning

Description/Abstract:

We have developed an open-source software called CrySPY, which is a crystal structure prediction tool written in Python 3, ...

Keyword:

evolutionary algorithm, Bayesian optimization, LAQA, crystal structure prediction, and first-principles calculations

Resource Type:

Article

Author:

Tomoki Yamashita, Shinichi Kanehira, Nobuya Sato, Hiori Kino, Kei Terayama, Hikaru Sawahata, Takumi Sato, Futoshi Utsuno, Koji Tsuda, Takashi Miyake, and Tamio Oguchi

Date Uploaded:

10/02/2023

Date Modified:

02/04/2024