Data Science, Machine Learning and Artificial Intelligence Applied to Metals and Alloys Research: Past, Present, and Future
Author:
Arróyave Raymundo
Reference86 articles.
1. Achilleos, K.G., Kannas C.C., Nicolaou C.A., Pattichis C.S., Promponas V.J., 2012. Open source workflow systems in life sciences informatics. In: Proceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).
2. Software solutions for combinatorial and high‐throughput materials and polymer research;Adams;Macromolecular Rapid Communications,2004
3. Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters;Agrawal;Integrating Materials and Manufacturing Innovation,2014
4. Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science;Agrawal;APL Materials,2016
5. Systems approaches to materials design: past, present, and future;Arróyave;Annual Review of Materials Research,2019
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献