Materials informatics approach to understand aluminum alloys
The relations between the mechanical properties, heat treatment, and compositions of elements in aluminum alloys are extracted by a materials informatics technique. In our strategy, a machine learning model is first trained by a prepared database to predict the properties of materials. The dependenc...
Main Authors: | Ryo Tamura, Makoto Watanabe, Hiroaki Mamiya, Kota Washio, Masao Yano, Katsunori Danno, Akira Kato, Tetsuya Shoji |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Science and Technology of Advanced Materials |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/14686996.2020.1791676 |
Similar Items
-
Approaches to evaluating measurement uncertainty
by: Forbes A.B.
Published: (2012-01-01) -
Handbook of Markov chain Monte Carlo /
by: Brooks, Steve, 1970-
Published: (2011) -
Study of Jupiter’s Interior with Quadratic Monte Carlo Simulations
by: Burkhard Militzer
Published: (2023-01-01) -
Magnetic Hamiltonian Monte Carlo With Partial Momentum Refreshment
by: Wilson Tsakane Mongwe, et al.
Published: (2021-01-01) -
Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo
by: Wilson Tsakane Mongwe, et al.
Published: (2021-01-01)