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Physical Chemistry Chemical Physics : PCCP|December 24, 2025
Interpretable machine learning framework for predicting the reactivity of trifluoromethylating reagentsVaneet Saini, Shivansh KanwarPhysical Chemistry Chemical Physics : PCCP|October 31, 2022
A machine learning approach for predicting the fluorination strength of electrophilic fluorinating reagentsVaneet SainiMolecular Diversity|November 5, 2022
Machine learning prediction of empirical polarity using SMILES encoding of organic solventsVaneet SainiPhysical Chemistry Chemical Physics : PCCP|June 6, 2025
A machine learning-driven prediction of Hammett constants using quantum chemical and structural descriptorsVaneet Saini, Ranjeet KumarJournal of the American Chemical Society|July 7, 2012
Palladium-catalyzed 1,1-difunctionalization of ethyleneVaneet Saini, Matthew S SigmanPhysical Chemistry Chemical Physics : PCCP|January 5, 2022
A machine learning approach for predicting the nucleophilicity of organic moleculesVaneet Saini, Aditya Sharma, Dhruv NivatiaJournal of the American Chemical Society|January 3, 2015
Synthesis of highly functionalized tri- and tetrasubstituted alkenes via Pd-catalyzed 1,2-hydrovinylation of terminal 1,3-dienesVaneet Saini, Mark O'Dair, Matthew S SigmanAngewandte Chemie (International Ed. in English)|October 10, 2013
Transition-metal-catalyzed laboratory-scale carbon-carbon bond-forming reactions of ethyleneVaneet Saini, Benjamin J Stokes, Matthew S SigmanOrganic Letters|September 20, 2013
Pd(0)-catalyzed 1,1-diarylation of ethylene and allylic carbonatesVaneet Saini, Longyan Liao, Qiaofeng Wang, et al.Journal of the American Chemical Society|December 15, 2016
Development and Analysis of a Pd(0)-Catalyzed Enantioselective 1,1-Diarylation of Acrylates Enabled by Chiral Anion Phase TransferEiji Yamamoto, Margaret J Hilton, Manuel Orlandi, et al.Pageof 2