Affiliation:
1. Liverpool John Moores University
Abstract
Abstract
In materials science, traditional experimental and computational approaches require the investment of enormous amounts of time and resources, and the experimental conditions limit the use of these methods. Sometimes, traditional approaches may not yield satisfactory results for the desired purpose. Therefore, it is essential to develop a new approach to accelerate experimental progress and avoid unnecessary waste of time and resources.
Publisher
Research Square Platform LLC
Reference20 articles.
1. J. Li and G. Zhang, "Study of the Prediction of Different Particle Material on Conveying Capacity of Differential Vertical Screw Conveyor Using Similarity Theory," 2019 12th International Conference on Intelligent Computation Technology and Automation (ICICTA), Xiangtan, China, 2019, pp. 715–718, doi: 10.1109/ICICTA49267.2019.00156.
2. PREDICTION OF MATERIAL PRICE USING PREDICTION TOOLS- A COMPARISON International Journal of Scientific & Engineering Research Volume 8, Issue 5, May-2017 160 ISSN 2229–5518
3. Application of Machine Learning in Material Synthesis and Property Prediction;Huang G;Materials,2023
4. Smart Materials Prediction: Applying Machine Learning to Lithium Solid-State Electrolyte;Hu Q;Materials,2022
5. Materials Prediction via Classification Learning online https://rdcu.be/dvEOP