Visible Light Promoted Brominative Dearomatization of Biaryl Ynones to Spirocycles

The Journal of Organic Chemistry, Год журнала: 2023, Номер 88(15), С. 10925 - 10945

Опубликована: Июль 17, 2023

Bromine induced spiro cyclization of biaryl ynones facilitated the synthesis spiro[5,5]trienones suitable for extended functionality at C(3') position. Herein, a step-economic photo-oxidative brominative carbannulation employing ammonium bromide and riboflavin tetraacetate (RFTA) has been developed. The reactivity between distal phenyl C-H activated ortho-annulation dearomative ipso-annulation is well exemplified. eminent features methodology include metal-free, external additive free, low-loading photocatalyst (0.1 mol %), use simple precursor.

Язык: Английский

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Visible-light-induced halocyclization of 2-alkynylthioanisoles with simple alkyl halides towards 3-halobenzo[b]thiophenes without an external photocatalyst

Organic & Biomolecular Chemistry, Год журнала: 2023, Номер 21(40), С. 8170 - 8175

Опубликована: Янв. 1, 2023

A new strategy for the preparation of 3-halobenzo[b]thiophenes via a photo-driven halocyclization/demethylation 2-alkynylthioanisoles with simple alkyl halides was developed. The reaction can proceed smoothly at room temperature under visible-light irradiation without any external photocatalyst, and protocol has range advantages, including simplicity mildness conditions, good functional-group tolerance, excellent yields products.

Язык: Английский

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Approximating heat loss in smart buildings through large scale experimental and computational intelligence solutions

Engineering Applications of Computational Fluid Mechanics, Год журнала: 2023, Номер 17(1)

Опубликована: Июнь 28, 2023

The attainment of energy sustainability in the building sector can be realised by implementing a green programme, which has grown significantly over last thirty years. Green is considered technical and management strategy within construction industries. Many different prediction methods, both complex simple, have been put out recent years used to solve wide variety issues. Several case studies highlighted factors that impede resource usage buildings. utilisation, trends, consequences wall thermal insulation materials are examined. main scope this investigation predict buildings' heat loss applying artificial neural networks according transfer coefficients walls coating materials, as well indoor, outdoor, external surface temperatures. data normalised presented two selected (Harmony search (HS) particle swarm optimisation contrasted (PSO)). For evaluating accuracy models, statistical indexes (R2 RMSE). Model performance PSO-MLP shown R2 amounts 0.97055 0.87381, respectively, RMSE 0.02534 0.09685. Similarly, HS-MLP model also indicated 0.93839 0.84176 0.03635 0.10753. analysis paper shows predicts with higher improved performance.

Язык: Английский

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Identification CH3F and CH3Cl molecules by the beryllium oxide nanocluster in presence of environmental gases: Electronic study via DFT

Inorganic Chemistry Communications, Год журнала: 2023, Номер 156, С. 111264 - 111264

Опубликована: Авг. 21, 2023

Язык: Английский

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Green Synthesis and Characterization of Inorganic Nanoparticles with Focus on Au Nanoparticles for Investigation of E-coli Detection and Treatment

Journal of Inorganic and Organometallic Polymers and Materials, Год журнала: 2023, Номер 34(2), С. 458 - 484

Опубликована: Сен. 21, 2023

Язык: Английский

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