[HTML][HTML] Enhancing preclinical drug discovery with artificial intelligence
Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to
deliver across the drug discovery and development value chain, starting from target …
deliver across the drug discovery and development value chain, starting from target …
The rise of continuous flow biocatalysis–fundamentals, very recent developments and future perspectives
Biocatalysis community has witnessed a drastic increase in the number of studies for the use
of enzymes in continuously operated flow reactors. This significant interest arose from the …
of enzymes in continuously operated flow reactors. This significant interest arose from the …
[HTML][HTML] Machine learning in chemical engineering: strengths, weaknesses, opportunities, and threats
Chemical engineers rely on models for design, research, and daily decision-making, often
with potentially large financial and safety implications. Previous efforts a few decades ago to …
with potentially large financial and safety implications. Previous efforts a few decades ago to …
[HTML][HTML] Intensification strategies for improving the performance of photocatalytic processes: A review
Green and efficient technologies are one of the biggest challenges in Chemical
Engineering. Photocatalysis has been reported as one of the most promising eco-friendly …
Engineering. Photocatalysis has been reported as one of the most promising eco-friendly …
Towards 4th industrial revolution efficient and sustainable continuous flow manufacturing of active pharmaceutical ingredients
Continuous flow chemistry has opened a new paradigm in both the laboratory and
pharmaceutical industry. This review details the recently reported literature on continuous …
pharmaceutical industry. This review details the recently reported literature on continuous …
Artificial Intelligence Methods and Models for Retro-Biosynthesis: A Sco** Review
Retrosynthesis aims to efficiently plan the synthesis of desirable chemicals by strategically
breaking down molecules into readily available building block compounds. Having a long …
breaking down molecules into readily available building block compounds. Having a long …
Revisiting the Paradigm of Reaction Optimization in Flow with a Priori Computational Reaction Intelligence
The use of micro/meso‐fluidic reactors has resulted in both new scenarios for chemistry and
new requirements for chemists. Through flow chemistry, large‐scale reactions can be …
new requirements for chemists. Through flow chemistry, large‐scale reactions can be …
Speeding up turbulent reactive flow simulation via a deep artificial neural network: A methodology study
Turbulent reactive flow simulation often requires accounting for turbulence-chemistry
interactions and the sub-grid phenomena. Their complexity leads to a trade-off between …
interactions and the sub-grid phenomena. Their complexity leads to a trade-off between …
A simulation study on NOx reduction efficiency in SCR catalysts utilizing a modern C3-CNN algorithm
P Han, X Shen, B Shen - Fuel, 2024 - Elsevier
Abstract The simulation of De-NOx system by selective catalytic reduction (SCR) catalyst is
very important in industrial application, however, the simulation is always highly time …
very important in industrial application, however, the simulation is always highly time …
Exploring optimal reaction conditions guided by graph neural networks and Bayesian optimization
The optimization of organic reaction conditions to obtain the target product in high yield is
crucial to avoid expensive and time-consuming chemical experiments. Advancements in …
crucial to avoid expensive and time-consuming chemical experiments. Advancements in …