Self-driving laboratories for chemistry and materials science

G Tom, SP Schmid, SG Baird, Y Cao, K Darvish… - Chemical …, 2024 - ACS Publications
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Continuous Flow Synthesis of N,O-Dimethyl-N′-nitroisourea Monitored by Inline Fourier Transform Infrared Spectroscopy: Bayesian Optimization and Kinetic …

J Guo, G Luo, K Chai, W Su, A Su - Industrial & Engineering …, 2024 - ACS Publications
The synthesis of N, O-dimethyl-N′-nitroisourea, crucial intermediates in pesticide
manufacturing, was explored through a substitution reaction between O-methyl-N …

Accelerating reaction optimization through data-rich experimentation and machine-assisted process development

JP McMullen, JA Jurica - Reaction Chemistry & Engineering, 2024 - pubs.rsc.org
The field of reaction engineering is in a constant state of evolution, adapting to new
technologies and the changing demands of process development on accelerated timelines …

[PDF][PDF] Elymus Repens Optimization (ERO); A Novel Agricultural-Inspired Algorithm

M Tourani - … of Information Systems and Telecommunication (JIST), 2024 - sid.ir
Optimization plays a crucial role in enhancing productivity within the industry. Employing this
technique can lead to a reduction in system costs. There exist various efficient methods for …

Continuous flow synthesis of N, O-dimethyl-N'-nitroisourea monitored by inline FTIR: comparing machine learning and kinetic modeling for optimization

J Guo, G Luo, K Chai, W Su, A Su - 2024 - chemrxiv.org
The synthesis of N, O-Dimethyl-N'-nitroisourea, crucial intermediates in pesticide
manufacturing, was explored through a substitution reaction between O-methyl-N …

A Universal Framework for Fast, Flexible and Fun (ctional) Autonomous Laboratories

NA Jose, P Adesina, K Ballu, A Chitre, D Karan… - 2024 - chemrxiv.org
The construction of autonomous chemical laboratories is complex, laborious, and
expensive. It is imperative to develop highly usable, flexible, and powerful development …

Implementation of Reinforcement Learning for Enhanced Pressure Control in a 190,000-Barrel Crude Distillation Unit: The First Full-Scale Commercial Deployment

D Seo, D Kim, H Son, Y Kim - Available at SSRN 4928069 - papers.ssrn.com
We introduce the first successful full-scale implementation of a Reinforcement Learning-
based Pressure Control System (RLPCS) within a Crude Distillation Unit (CDU) in the …