Mini Review
Mini Review on Multivariate Linear Regression for Homogeneous Catalysis
Shashank Krishna R1 and Pradeep Ilayaperumal1,2*
1Department of Chemistry, Bishop Heber College, India
2Department of Chemistry, Indian Institute of Technology Delhi, India
Pradeep Ilayaperumal, Department of Chemistry, Indian Institute of Technology Delhi, New Delhi, India.
Received Date: June 11, 2021; Published Date: July 21, 2021
Abstract
The computational approaches are advantageous to the rational design of catalysts elucidating mechanistic insights, identifying active sites, and predicting catalytic activity. Here, the post-2018 short review on homogeneous catalysis, activation, and mechanistic approach using Multivariate Linear Regression (MLR) in DFT calculations.
Keywords: Multivariate Linear Regression (MLR); Selectivity prediction; Turn-over-frequency; Conformational analyses; Mechanistic analysis; DFT calculations
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Shashank Krishna R, Pradeep Ilayaperumal. Mini Review on Multivariate Linear Regression for Homogeneous Catalysis. 1(5): 2021. ICBC. MS.ID.000522.
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