Would you like to predict organic reaction outcomes accurately? Design synthetic sequences with higher rate of success?
Would you prefer to learn and rationalize organic chemistry in a data-driven manner?
Quantum Mechanics (QM) and Artificial Intelligence (AI) tools for chemistry are evolving at a tremendously fast pace and have proven to be invaluable for organic and medicinal chemists.
If you are interested in incorporating validated QM and AI tools into your chemistry workflow, please contact us at IDSU_CS@wuxiapptec.com or email Declan Ryan, VP of Business Development at Declan.email@example.com.
If you are interested in getting a copy of our eBook, “Quantum Mechanics for Organic Chemists: An Experimentalist Approach”, Third Edition.
Application of Conformational Analyses & HOMO Map for Stereo-selectivity Prediction
Understanding the highly variable Regioselectivity in SNAr reaction of Dichloropyrimidines
One Versatile Intermediate, Under Three Different Conditions, Selectively Provides Three Different Heterocyclic ProductsBenzofuran Synthesis via Acid Catalyzed Cyclization of Acetal
Unraveling Divergence in Haloselectivity of SNAr and Cross Coupling vs Halogen-Metal Exchange Reactions
Unusual Reactivities of Polyhalogenated Heteroaromatic Substrates are Predictable
Dichotomy in Regioselectivity of Electrophilic Reaction of 3-Acetyl-5-hydroxylindole
Dichotomy in Regioselectivity of SnAr Reactions with 2-MeSO2-4-Chloropyrimidine