Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …
traditional research paradigms in the era of artificial intelligence and automation. An …
Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing
P Liu, H **, Y Chen, D Wang, H Yan, M Wu… - Chinese Chemical …, 2024 - Elsevier
The pharmaceutical industry is now paying increased attention to continuous manufacturing.
While the revolution to continuous and automated manufacturing is deepening in most of the …
While the revolution to continuous and automated manufacturing is deepening in most of the …
Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
This review proposes the concept of a “frugal twin,” similar to a digital twin, but for physical
experiments. Frugal twins range from simple toy examples to low-cost surrogates of high …
experiments. Frugal twins range from simple toy examples to low-cost surrogates of high …
Autonomous execution of highly reactive chemical transformations in the Schlenkputer
We design a modular programmable inert-atmosphere Schlenkputer (Schlenk-line
computer) for the synthesis and manipulation of highly reactive compounds, including those …
computer) for the synthesis and manipulation of highly reactive compounds, including those …
Multistep automated synthesis of pharmaceuticals
Multistep automated pharmaceutical syntheses have been a long-term industrial goal.
Automation not only enables the rapid and highly efficient preparation of organic …
Automation not only enables the rapid and highly efficient preparation of organic …
An Adaptive Auto‐Synthesizer Using Online PAT Feedback to Flexibly Perform a Multistep Reaction
Automated chemical synthesizers have become more common in recent years but struggle
to apply rigid procedures to broad substrate scopes. We have developed an adaptive auto …
to apply rigid procedures to broad substrate scopes. We have developed an adaptive auto …
Robotic modules for the programmable chemputation of molecules and materials
Before leveraging big data methods like machine learning and artificial intelligence (AI) in
chemistry, there is an imperative need for an affordable, universal digitization standard. This …
chemistry, there is an imperative need for an affordable, universal digitization standard. This …
Reaction Kinetics using a Chemputable Framework for Data Collection and Analysis
Automated chemistry platforms have been widely explored, but many focus on fixed tasks for
chemical synthesis or analysis. However, a typical synthetic chemistry workflow utilizes both …
chemical synthesis or analysis. However, a typical synthetic chemistry workflow utilizes both …
Autonomous experimental systems in materials science
N Ishizuki, R Shimizu, T Hitosugi - Science and Technology of …, 2023 - Taylor & Francis
The emergence of autonomous experimental systems integrating machine learning and
robots is ushering in a paradigm shift in materials science. Using computer algorithms and …
robots is ushering in a paradigm shift in materials science. Using computer algorithms and …
Automated library generation and serendipity quantification enables diverse discovery in coordination chemistry
Library generation experiments are a key part of the discovery of new materials, methods,
and models in chemistry, but the question of how to generate high quality libraries to enable …
and models in chemistry, but the question of how to generate high quality libraries to enable …