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Filtering by: Keyword Machine learning Rights Statement Sim Creative Commons BY Attribution 4.0 International

1. Improving efficiency of autonomous material search via transfer learning from nontarget properties

Description/Abstract:: Recently, autonomous material search methods combining machine learning and experiments/simulations have become indispensable for explori...
Keyword:: Machine learning
Resource Type:: Article
Author:: Jaekyun Hwang and Yuma Iwasaki
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 27/10/2023

2. Prediction and optimization of epoxy adhesive strength from a small dataset through active learning

Description/Abstract:: Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental d...
Keyword:: Machine learning, active learning, and adhesive
Resource Type:: Article
Author:: Pruksawan, Sirawit, Lambard, Guillaume, Samitsu, Sadaki, Sodeyama, Keitaro, and Naito, Masanobu
Journal:: Science and Technology of Advanced Materials
Date Uploaded:: 02/01/2021
Date Modified:: 18/10/2022

3. Machine Learning-Based Experimental Design in Materials Science

Description/Abstract:: In materials design and discovery processes, optimal experimental design (OED) algorithms are getting more popular. OED is often modeled ...
Keyword:: Machine learning, Materials design, and Optimal experiment design
Resource Type:: Part of Book
Author:: Tsuda, Koji and Dieb, Thaer M.
Journal:: Nanoinformatics
Date Uploaded:: 02/10/2020
Date Modified:: 16/10/2020