E-LIB Suche - Ergebnisse für: Parker Tian, Siyu Isaac

1

An invertible crystallographic representation for general i..:

Ren, Zekun ; Parker Tian, Siyu Isaac ; Noh, Juhwan...
10.1016/J.MATT.2022.01.022. , 2023

Link: https://hdl.handle.net/1..

2

Predicting Synthesizability using Machine Learning on Datab..:

Zhu, Ruiming ; Tian, Siyu Isaac Parker ; Ren, Zekun...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996807/. , 2023

Link: http://www.ncbi.nlm.nih...

3

Predicting synthesizability using machine learning on datab..:

Zhu, Ruiming ; Tian, Siyu Isaac Parker ; Ren, Zekun...
A1898b0043. , 2023

Link: https://hdl.handle.net/1..

4

An open-source environmental chamber for materials-stabilit..:

Keesey, Rodolfo ; Tiihonen, Armi ; Siemenn, Alexander E...
Digital Discovery. , 2023

Link: https://aaltodoc.aalto.f..

5

Predicting Synthesizability using Machine Learning on Datab..:

Zhu, Ruiming ; Tian, Siyu Isaac Parker ; Ren, Zekun...
10.1021/acsomega.2c04856. , 2023

Link: https://hdl.handle.net/1..

6

Extracting film thickness and optical constants from spectr..:

Dutta, Rajdeep ; Tian, Siyu Isaac Parker ; Liu, Zhe...
10.1371/JOURNAL.PONE.0276555. , 2023

Link: https://hdl.handle.net/1..

7

What Information is Necessary and Sufficient to Predict Mat..:

Tian, Siyu Isaac Parker ; Walsh, Aron ; Ren, Zekun..
http://arxiv.org/abs/2206.04968. , 2022

Link: http://arxiv.org/abs/220..

8

Tackling Data Scarcity with Transfer Learning: A Case Study..:

Tian, Siyu Isaac Parker ; Ren, Zekun ; Venkataraj, Selvaraj...
http://arxiv.org/abs/2207.02209. , 2022

Link: http://arxiv.org/abs/220..

9

Multi‐Fidelity High‐Throughput Optimization of Electrical C..:

Bash, Daniil ; Cai, Yongqiang ; Chellappan, Vijila...
10.1002/ADFM.202102606. , 2021

Link: https://hdl.handle.net/1..

10

Two-step machine learning enables optimized nanoparticle sy..:

Mekki-Berrada, Flore ; Ren, Zekun ; Huang, Tan...
A1898b0043. , 2021

Link: https://hdl.handle.net/1..

11

Two-step machine learning enables optimized nanoparticle sy..:

Mekki-Berrada, Flore ; Ren, Zekun ; Huang, Tan...
Mekki-Berrada, Flore, Ren, Zekun, Huang, Tan, Wong, Wai Kuan, Zheng, Fang, Xie, Jiaxun, Tian, Isaac Parker Siyu, Jayavelu, Senthilnath, Mahfoud, Zackaria, Bash, Daniil, Hippalgaonkar, Kedar, Khan, Saif, Buonassisi, Tonio, Li, Qianxiao, Wang, Xiaonan (2021-04-20). Two-step machine learning enables optimized nanoparticle synthesis. npj Computational Materials 7 (1) : 55. ScholarBank@NUS Repository. https://doi.org/10.1038/s41524-021-00520-w. , 2021

Link: https://scholarbank.nus...

12

Two-step machine learning enables optimized nanoparticle sy..:

Mekki-Berrada, Flore ; Ren, Zekun ; Huang, Tan...
10.1038/S41524-021-00520-W. , 2021

Link: https://hdl.handle.net/1..

13

Two-step machine learning enables optimized nanoparticle sy..:

Flore Mekki-Berrada ; Zekun Ren ; Tan Huang...
https://doi.org/10.1038/s41524-021-00520-w. , 2021

Link: https://doi.org/10.1038/..

14

An invertible crystallographic representation for general i..:

Ren, Zekun ; Tian, Siyu Isaac Parker ; Noh, Juhwan...
http://arxiv.org/abs/2005.07609. , 2020

Link: http://arxiv.org/abs/200..

15

Bridging the gap between photovoltaics R&D and manufacturin..:

Oviedo, Felipe ; Ren, Zekun ; Hansong, Xue...
http://arxiv.org/abs/2004.13599. , 2020

Link: http://arxiv.org/abs/200..