Lectures related to Machine Learning for Catalysis

Explores the history and significance of the Kumada Coupling reaction in transition metal catalysis.

Covers the principles and mechanisms of V-cross couplings, focusing on Suzuki and Stille couplings.

Covers versatile methods for C-C bond formation using different organometallic reagents and organic halides.

Explores the mechanisms and ligand effects in cross-coupling reactions.

Explores catalytic strategies for C-C bond formation, emphasizing stereochemistry and metal catalyst limitations.

Covers the synthesis of T-conjugated molecules, cross-coupling reactions, polymerization, and band gap tuning.

Explores asymmetric catalysis, umpolung, and selectivity models in various catalytic reactions, offering insights into the future of this field.

Covers the synthesis of conjugated molecules for organic electronics and the tuning of band gaps through various reactions.

Covers the principles of retrosynthesis, focusing on disconnections C-C and functional group disconnections.

Explores enantioselective C-H activation reactions using Cu, Rh, and Ni catalysts for functionalization of olefins, alkynes, and alkenes.

Covers the basic principles of retrosynthesis, focusing on disconnections C-X and C-C.

Covers the total synthesis of Discodermolide, a potent immunosuppressive and cytotoxic compound.

Explores C-N coupling with biarylphosphine ligands, covering mechanisms, applications, and challenges in C-O coupling reactions with Pd complexes.

Introduces the basics of homogeneous catalysis, focusing on reaction mechanisms and catalyst design.

Covers retrosynthesis principles, cross couplings, and functional group disconnections.

Discusses the fundamentals of the Heck reaction in catalysis and strategies for enhancing its efficiency.

Explores ATP synthesis in anaerobic cells, coupling reactions for energy production.

Covers platinum-based cancer drugs, electrophilic aromatic substitution, cross-coupling reactions, and SN2 and SN1 mechanisms.

Covers the topic of catalysis, focusing on the process of hydrogenation and the advantages of using soluble catalysts.

Explores the coupling of Markov chains and the proof of the ergodic theorem, emphasizing distribution convergence and chain properties.