Challenges and opportunities of polymer design with machine learning and high throughput experimentation

2019 ◽  
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pp. 537-544 ◽  
Author(s):  
Jatin N. Kumar ◽  
Qianxiao Li ◽  
Ye Jun
Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
High Throughput Experimentation ◽  
Challenges And Opportunities ◽  
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Abstract

Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies

2015 ◽  
Vol 30 (7) ◽  
pp. 879-889 ◽  
Author(s):  
Jonathan Kenneth Bunn ◽  
Shizhong Han ◽  
Yan Zhang ◽  
Yan Tong ◽  
Jianjun Hu ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
Experimental Studies ◽  
Machine Learning Technique ◽  
Automatic Phase ◽  
Learning Technique ◽  
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Enabling Catalyst Discovery through Machine Learning and High-Throughput Experimentation

2019 ◽  
Vol 32 (1) ◽  
pp. 157-165 ◽  
Author(s):  
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Katherine McCullough ◽  
Jochen A. Lauterbach
Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
High Throughput Experimentation

scholarly journals Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules

2021 ◽  
Author(s):  
Xiaobo Li ◽  
Phillip M. Maffettone ◽  
Yu Che ◽  
Tao Liu ◽  
Linjiang Chen ◽  
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Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
Organic Molecules ◽  
Chemical Compounds ◽  
Structure Property ◽  
Design Rules ◽  
Useful Components ◽  
High Throughput Experimentation ◽  
Unique Chemical

Light-absorbing organic molecules are useful components in photocatalysts, but it is difficult to formulate reliable structure-property design rules. More than 100 million unique chemical compounds are documented in the PubChem...

scholarly journals Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics

2019 ◽  
Vol 9 (3) ◽  
pp. 821-838 ◽  
Author(s):  
Rama K. Vasudevan ◽  
Kamal Choudhary ◽  
Apurva Mehta ◽  
Ryan Smith ◽  
Gilad Kusne ◽  
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Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
High Throughput ◽  
Materials Science ◽  
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Abstract

scholarly journals Discovering exceptionally hard and wear-resistant metallic glasses by combining machine-learning with high throughput experimentation

2022 ◽  
Vol 9 (1) ◽  
pp. 011403
Author(s):  
Suchismita Sarker ◽  
Robert Tang-Kong ◽  
Rachel Schoeppner ◽  
Logan Ward ◽  
Naila Al Hasan ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
Metallic Glasses ◽  
Wear Resistant ◽  
High Throughput Experimentation
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