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 …

[HTML][HTML] Artificial intelligence (AI) applications in drug discovery and drug delivery: Revolutionizing personalized medicine

DR Serrano, FC Luciano, BJ Anaya, B Ongoren, A Kara… - Pharmaceutics, 2024‏ - mdpi.com
Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been
utilized by pharmaceutical companies for decades, including machine learning, deep …

Reproducibility in automated chemistry laboratories using computer science abstractions

RB Canty, M Abolhasani - Nature Synthesis, 2024‏ - nature.com
While abstraction is critical for the transferability of automated laboratory science in (bio)
chemical and materials sciences, its improper implementation is a technical debt taken …

A Workflow Enabling the Automated Synthesis, Chain-End Degradation, and Rapid Mass Spectrometry Analysis for Molecular Information Storage in Sequence …

JR Shuluk, CD Wight, JR Howard, ME King, SR Moor… - JACS Au, 2025‏ - ACS Publications
The field of molecular information storage has recently expanded to include abiotic
sequence-defined polymers. While robust methods have been developed, there is a current …

[HTML][HTML] Continuous flow aqueous tandem conversion of trans-ferulic acid into high added value chemicals

KA Sanoja-López, R Luque - Results in Engineering, 2025‏ - Elsevier
This study focuses on the multi-stage tandem valorization of trans-ferulic acid (t-FA) into high
value-added products using a 10% Pd/C catalytic process in continuous flow under mild …

Digital chemistry: navigating the confluence of computation and experimentation–definition, status quo, and future perspective

S Bräse - Digital Discovery, 2024‏ - pubs.rsc.org
Digital chemistry represents a transformative approach integrating computational methods,
digital data, and automation within the chemical sciences. It is defined by using digital …

Towards Precision Biocatalysis–Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors

F Ott, G Gygli, KS Rabe, CM Niemeyer - Chemistry‐Methods, 2024‏ - Wiley Online Library
Reactor automation is a transformative force for chemical processes, but the potential of
reaction monitoring for machine‐assisted autonomous biocatalytic reaction optimization is …

The Chemputer and Chemputation: A Universal Chemical Compound Synthesis Machine

L Cronin - arxiv preprint arxiv:2408.09171, 2024‏ - arxiv.org
This work establishes a rigorous proof for the universality of the chemputer as a chemical
synthesis machine, capable of constructing any stable and isolable molecule through a …

Artificial intelligence-driven platform for catalytic reactor discovery and optimization applied to carbon dioxide valorization

C Tinajero, M Zanatta, E García-Verdugo, V Sans - 2025‏ - chemrxiv.org
Digital technologies, including artificial intelligence and additive manufacturing
advancements, have revolutionized all areas of chemistry and chemical engineering. In the …

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs

YZ Shi, M Liu, F Meng, Q Xu, Z Bi, K He, L Ruan… - … Conference on Learning …‏ - openreview.net
Self-driving laboratories have begun to replace human experimenters in performing single
experimental skills or predetermined experimental protocols. However, as the pace of idea …