Skip To Main Content
E-Wen Huang on Muck Rack

E-Wen Huang

As seen in: Nature, MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with E-Wen

Contact E-Wen, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Synchrotron X-ray-informed machine learning for local hardness mapping in a Cu–Ni–Ti–Hf–Zr high-entropy shape-memory alloy

|
By Ming-Yi Chen, Tu-Ngoc Lam, Chia-Lin Li, Ching-Yu Chiang, Wan-Zhen Hsieh, Phuoc Le, soo lee, Jayant Jain, Che-Wei Tsai, E-Wen Huang, Mao-Yuan Luo, Chia-Yung Jui, Cheng-Yu Chiu, Wen-Jay Lee
| Nature Verified
Abstract A supervised machine-learning framework was used to relate colocated synchrotron X-ray fluorescence (XRF), X-ray nanodiffraction (XND), thermodynamic descriptors, and nanoindentation measurements to local hardness in an as-cast Cu15Ni35Ti25Hf12.5Zr12.5 high-entropy shape-memory alloy (HESMA). The analysis used 516 measurement points and evaluated multilayer perceptron, k-nearest-neighbor, random-forest, and CatBoost regressors under fold-aware leave-one-out cross-validation (LOOCV).
Open in Who Shared Issue with article?

High-temperature Materials for Structural Applications

|
By Peter Liaw, Tao Yang, E-Wen Huang, Boxuan Cao
| Cambridge University Press & Assessment
Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
Open in Who Shared Issue with article?
See all 2 articles