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Nishanth G. Chemmangattuvalappil

2 papers indexed

crossrefProcesses2023-07-04Cited by 16

Design of Polymeric Membranes for Air Separation by Combining Machine Learning Tools with Computer Aided Molecular Design

Jie-Ying Cheun, Joshua-Yeh-Loong Liew, Qian-Ying Tan, Jia-Wen Chong, Jecksin Ooi, Nishanth G. Chemmangattuvalappil

The growing importance of the membrane-based air separation processes results in an increasing demand for suitable polymeric membrane structures. This has spurred the interest in designing polymer structures for O2/N2 separation by employing a systematic approach. In this work, a…

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crossrefProcesses2022-09-03Cited by 18

Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules

Yi Peng Heng, Ho Yan Lee, Jia Wen Chong, Raymond R. Tan, Kathleen B. Aviso, Nishanth G. Chemmangattuvalappil

The demand for new novel flavour and fragrance (F&F) molecules has boosted the need for a systematic approach to designing fragrance molecules. However, the F&F-related industry still relies heavily on experimental approaches or on existing databases without considering t…

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