Difference between revisions of "Materials"
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* [[Case Studies]] | * [[Case Studies]] | ||
** [[Fabrics & Textiles]] | ** [[Fabrics & Textiles]] | ||
| + | * [http://jarvis.nist.gov/ NIST-JARVIS (Joint Automated Repository for Various Integrated Simulations)] ...JARVIS-ML introduced Classical Force-field Inspired Descriptors (CFID) as a universal framework to represent a material’s chemistry-structure-charge related data | ||
* [http://www.sciencedirect.com/science/article/pii/S2352847817300515 Materials discovery and design using machine learning | Yue Liua, Tianlu Zhaoa, Wangwei Jua, Siqi Shi ScienceDirect] | * [http://www.sciencedirect.com/science/article/pii/S2352847817300515 Materials discovery and design using machine learning | Yue Liua, Tianlu Zhaoa, Wangwei Jua, Siqi Shi ScienceDirect] | ||
* [http://www.theverge.com/2018/4/25/17275270/artificial-intelligence-materials-science-computation How AI is helping us discover materials faster than ever | Angela Chen - The Verge] | * [http://www.theverge.com/2018/4/25/17275270/artificial-intelligence-materials-science-computation How AI is helping us discover materials faster than ever | Angela Chen - The Verge] | ||
Revision as of 09:36, 9 August 2020
Youtube search... ...Google search
- Case Studies
- NIST-JARVIS (Joint Automated Repository for Various Integrated Simulations) ...JARVIS-ML introduced Classical Force-field Inspired Descriptors (CFID) as a universal framework to represent a material’s chemistry-structure-charge related data
- Materials discovery and design using machine learning | Yue Liua, Tianlu Zhaoa, Wangwei Jua, Siqi Shi ScienceDirect
- How AI is helping us discover materials faster than ever | Angela Chen - The Verge
