Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
The discovery of the optimal conditions for chemical reactions is a labor-intensive, time-consuming task that requires exploring a high-dimensional parametric space. Historically, the optimization of chemical reactions has been performed by manual experimentation guided by human intuition and throug...
Saved in:
Main Authors: | Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam |
---|---|
Format: | Article |
Language: | English |
Published: |
Beilstein-Institut
2025-01-01
|
Series: | Beilstein Journal of Organic Chemistry |
Subjects: | |
Online Access: | https://doi.org/10.3762/bjoc.21.3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering
by: Aya Fujiwara, et al.
Published: (2025-12-01) -
LTE multi-user downlink throughput performance modeling and analysis
by: Zhicheng WEN
Published: (2016-10-01) -
Comparison of Microfluidic Synthesis of Silver Nanoparticles in Flow and Drop Reactors at Low Dean Numbers
by: Konstantia Nathanael, et al.
Published: (2025-01-01) -
Throughput model of Wi-Fi cascading based on saturated TCP traffic
by: Junxiong ZHANG, et al.
Published: (2023-09-01) -
INVESTIGATION OF ASYNCHRONOUS OPTICAL COMMUNICATION CHANNEL THROUGHPUT CONTAINING A RECEIVER ON THE BASIS OF PHOTON COUNTER
by: I. R. Gulakov, et al.
Published: (2015-03-01)