The rise of self-driving labs in chemical and materials sciences

M Abolhasani, E Kumacheva - Nature Synthesis, 2023 - nature.com
Accelerating the discovery of new molecules and materials, as well as developing green
and sustainable ways to synthesize them, will help to address global challenges in energy …

Autonomous chemical experiments: Challenges and perspectives on establishing a self-driving lab

M Seifrid, R Pollice, A Aguilar-Granda… - Accounts of Chemical …, 2022 - ACS Publications
Conspectus We must accelerate the pace at which we make technological advancements to
address climate change and disease risks worldwide. This swifter pace of discovery requires …

An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials

Y Jiang, D Salley, A Sharma, G Keenan, M Mullin… - Science …, 2022 - science.org
We present an autonomous chemical synthesis robot for the exploration, discovery, and
optimization of nanostructures driven by real-time spectroscopic feedback, theory, and …

AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning

AA Volk, RW Epps, DT Yonemoto, BS Masters… - Nature …, 2023 - nature.com
Closed-loop, autonomous experimentation enables accelerated and material-efficient
exploration of large reaction spaces without the need for user intervention. However …

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 …

Design, characterization and applications of nanocolloidal hydrogels

SM Morozova, A Gevorkian… - Chemical Society Reviews, 2023 - pubs.rsc.org
Nanocolloidal gels (NCGs) are an emerging class of soft matter, in which nanoparticles act
as building blocks of the colloidal network. Chemical or physical crosslinking enables NCG …

Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation

Y Xie, K Sattari, C Zhang, J Lin - Progress in Materials Science, 2023 - Elsevier
The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

Revolutionizing drug formulation development: the increasing impact of machine learning

Z Bao, J Bufton, RJ Hickman, A Aspuru-Guzik… - Advanced Drug Delivery …, 2023 - Elsevier
Over the past few years, the adoption of machine learning (ML) techniques has rapidly
expanded across many fields of research including formulation science. At the same time …

Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning

X Chen, H Lv - NPG Asia Materials, 2022 - nature.com
Nanoparticles play irreplaceable roles in optoelectronic sensing, medical therapy, material
science, and chemistry due to their unique properties. There are many synthetic pathways …

Trends in droplet microfluidics: From droplet generation to biomedical applications

Z Chen, S Kheiri, EWK Young, E Kumacheva - Langmuir, 2022 - ACS Publications
Over the past decade, droplet microfluidics has attracted growing interest in biology,
medicine, and engineering. In this feature article, we review the advances in droplet …