- Title
- Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines
- Creators - without role
- Haitao Yang - National University of SingaporeJiali Li - National University of SingaporeKai Zhuo Lim - National University of SingaporeChuanji Pan - National University of SingaporeTien Van Truong - Singapore University of Technology and DesignQian Wang - National University of SingaporeKerui Li - National University of SingaporeShuo Li - National University of SingaporeXiao Xiao - Southern University of Science and TechnologyMeng Ding - National University of SingaporeTianle Chen - University of Maryland, College ParkXiaoli Liu - National University of SingaporeQian Xie - Anhui University of TechnologyPablo Valdivia y. Alvarado - Singapore University of Technology and DesignXiaonan Wang - Tsinghua UniversityPo-Yen Chen - Department of Chemical and Biomolecular Engineering, University of Maryland
- Publication Details
- Nature machine intelligence, Vol.4(3), pp.312-312
- Publisher
- Nature Publishing Group UK
- Number of pages
- 1
- Grant note
- Singapore RIE2020 Advanced Manufacturing and Engineering Programmatic Grant “Accelerated Materials Development for Manufacturing” by the Agency for Science, Technology and Research under Grant No. A1898b0043 Start-Up Fund of University of Maryland, College Park (KFS No.: 2957431). Maryland Innovation Initiative (MII) Technology Assessment Award (KFS No.: 4308302). MOST-AFOSR Taiwan Topological and Nanostructured Materials Grant under Grant No. FA2386-21-1-4065 (KFS No.: 5284212). 4311103 / Maryland Industrial Partnerships (MIPS) (https://doi.org/10.13039/100004972)
- Identifiers
- 9912458209846
- Academic Unit
- Engineering Product Development (EPD)
- Language
- English
- Resource Type
- Journal article
Journal article
Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines
Nature machine intelligence, Vol.4(3), pp.312-312
03/2022
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