Results 131 to 140 of about 76,878 (276)

Decarboxylation-Driven Double Annulations: Innovative Multi-Component Reaction Pathways

Molecules
A concerted five-component reaction strategy has been developed, featuring double [3+2] cycloadditions utilizing aspartic acid. This approach provides valuable insights into mechanistic pathways, allowing for the distinction between concerted and ...
Desheng Zhan, Gang Yang, Tieli Zhou, Sashirekha Nallapati, Xiaofeng Zhang   +4 more
doaj   +1 more source

Editorial: Multicomponent reactions (MCRs) towards scaffolds with versatile applications. [PDF]

Front Chem, 2023
Bouissane L, Echeverria J, Dohi T, Müller TJJ.   +3 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

One-pot Ugi-azide and Heck reactions for the synthesis of heterocyclic systems containing tetrazole and 1,2,3,4-tetrahydroisoquinoline

Beilstein Journal of Organic Chemistry
A new method for the synthesis of heterocyclic systems containing tetrazole and tetrahydroisoquinoline is developed via the performance of one-pot Ugi-azide and Heck cyclization reactions.
Jiawei Niu, Yuhui Wang, Shenghu Yan, Yue Zhang, Xiaoming Ma, Qiang Zhang, Wei Zhang   +6 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Multicomponent reactions III

Beilstein Journal of Organic Chemistry, 2019
Thomas J. J. Müller
doaj   +1 more source

Multicomponent Reactions in Polymer Science [PDF]

Macromolecular Rapid Communications, 2021
Michael A. R. Meier, Rongrong Hu, Ben Zhong Tang   +2 more
openaire   +3 more sources

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Recent progress in metal assisted multicomponent reactions in organic synthesis. [PDF]

Front Chem, 2023
Sakthivel K, Gana RJ, Shoji T, Takenaga N, Dohi T, Singh FV.   +5 more
europepmc   +1 more source

Biginelli multicomponent reactions

, 2015
Biginelli reaction is one of the most remarkable examples of MCRs discovered in 1893 and proof of its importance is the high number of articles reported in the last decade covering this field. This strategy allows the synthesis of important building blocks and versatile synthons such as 3,4-dihydropyrimidin-2-(1H)-one derivatives (DHPMs), which are ...
Marqués-López, Eugenia, Herrera, Raquel P.   +1 more
openaire   +1 more source