[HTML][HTML] Reaction performance prediction with an extrapolative and interpretable graph model based on chemical knowledge

SW Li, LC Xu, C Zhang, SQ Zhang, X Hong - Nature Communications, 2023 - nature.com
Accurate prediction of reactivity and selectivity provides the desired guideline for synthetic
development. Due to the high-dimensional relationship between molecular structure and …

[HTML][HTML] Recent advances in synthesizing and utilizing nitrogen-containing heterocycles

HJ Ha - Frontiers in Chemistry, 2023 - frontiersin.org
The use of organocatalysts and a pot economy has strengthened recent organic syntheses.
Synthetic methodologies may be applicable in laboratory preparation or in the industrial …

Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence

C Liu, Y Chen, F Mo - National Science Open, 2024 - nso-journal.org
Organic chemistry is undergoing a major paradigm shift, moving from a labor-intensive
approach to a new era dominated by automation and artificial intelligence (AI). This …

HTE and machine learning-assisted development of iridium (I)-catalyzed selective O–H bond insertion reactions toward carboxymethyl ketones

Y Xu, F Ren, L Su, Z Xiong, X Zhu, X Lin… - Organic Chemistry …, 2023 - pubs.rsc.org
Functional group substituted carboxymethyl ketones, particularly heterocyclic ones, are
important structural motifs in biologically active molecules, but their synthesis is challenging …

Using a single complex to predict the reaction energy profile: a case study of Pd/Ni-catalyzed ethylene polymerization

H Lu, X Kang, H Yu, W Zhang, Y Luo - Dalton Transactions, 2023 - pubs.rsc.org
Mechanism-driven catalyst screening could be greatly accelerated by quantitative prediction
models of the reaction energy profile. Here, we propose a novel method for molecular …

[HTML][HTML] Prediction of Leaf Break Resistance of Green and Dry Alfalfa Leaves by Machine Learning Methods

U Ercan, O Kabas, G Moiceanu - Applied Sciences, 2024 - mdpi.com
Alfalfa holds an extremely significant place in animal nutrition when it comes to providing
essential nutrients. The leaves of alfalfa specifically boast the highest nutritional value …

Integrating digital chemistry within the broader chemistry community

D Dalmau, JV Alegre-Requena - Trends in Chemistry, 2024 - cell.com
The rapid progress of digital chemistry has profoundly transformed chemical research.
Despite this evolution, there are implementation gaps that hinder the widespread adoption …

AI for organic and polymer synthesis

X Hong, Q Yang, K Liao, J Pei, M Chen, F Mo… - Science China …, 2024 - Springer
Recent years have witnessed the transformative impact from the integration of artificial
intelligence with organic and polymer synthesis. This synergy offers innovative and …

Prediction of the enantiomeric excess value for asymmetric transfer hydrogenation based on machine learning

B Gao, Y Chang, W Tang - Organic Chemistry Frontiers, 2023 - pubs.rsc.org
Asymmetric transfer hydrogenation has a wide range of applications in organic synthesis. In
this work, we predict the enantiomeric excess value of asymmetric transfer hydrogenation …

Evaluation of functional group compatibility and development of reaction-accelerating additives in ammonium salt-accelerated hydrazinolysis of amides

J Choi, A Nawachi, N Saito, Y Kondo… - Frontiers in …, 2024 - frontiersin.org
Functional group compatibility in an amide bond cleavage reaction with hydrazine was
evaluated for 26 functional groups in the functional group evaluation (FGE) kit. Accurate and …