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1 article(s) from Hippalgaonkar, Kedar

Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning

Pablo Quijano Velasco,
Kedar Hippalgaonkar and
Balamurugan Ramalingam

Beilstein J. Org. Chem. 2025, 21, 10–38, doi:10.3762/bjoc.21.3

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Graphical Abstract

Figure 1: A high-level representation of the workflow and framework used for the optimization of organic reac...

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Figure 2: (a) Photograph showing a Chemspeed HTE platform using 96-well reaction blocks. (b) Mobile robot equ...

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Figure 3: (a) Description of a slug flow platform developed using segments of gas as separation medium for hi...

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Figure 4: Schematic representation (a) and photograph (b) of the flow parallel synthesizer intelligently desi...

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Figure 5: (a) Schematic representation of an ASFR for obtaining an optimal solution with minimal human interv...

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Figure 6: (a) A modular flow platform developed for a wider variety of chemical syntheses. (b) Various catego...

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Figure 7: Implementation of four complementary PATs into the optimization process of a three-step synthesis.

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Figure 8: Overlay of several Raman spectra of a single condition featuring the styrene vinyl region (a) and t...

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Figure 9: (a) Schematic description of the process of chemical reaction optimization through ML methods. (b) ...

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Figure 10: (a) Comparison between a standard GP (single-task) and a multitask GP. Training an auxiliary task u...

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Figure 11: Comparison of the reaction yield between optimizations campaign where the catalyst ligand selection...

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Published 06 Jan 2025

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