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 …

Recent advances in ligand design and engineering in lead halide perovskite nanocrystals

K Hills‐Kimball, H Yang, T Cai, J Wang… - Advanced …, 2021 - Wiley Online Library
Lead halide perovskite (LHP) nanocrystals (NCs) have recently garnered enhanced
development efforts from research disciplines owing to their superior optical 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 …

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 …

Colloidal quantum dot photovoltaics: Current progress and path to gigawatt scale enabled by smart manufacturing

AR Kirmani, JM Luther, M Abolhasani… - ACS Energy …, 2020 - ACS Publications
Colloidal quantum dots (QDs) have lately been pursued with intense vigor for optoelectronic
applications such as photovoltaics (PV), flexible electronics, displays, mid-infrared …

Intelligent control of nanoparticle synthesis through machine learning

H Lv, X Chen - Nanoscale, 2022 - pubs.rsc.org
The synthesis of nanoparticles is affected by many reaction conditions, and their properties
are usually determined by factors such as their size, shape and surface chemistry. In order …

Flow synthesis of metal halide perovskite quantum dots: from rapid parameter space mapping to AI-guided modular manufacturing

K Abdel-Latif, F Bateni, S Crouse, M Abolhasani - Matter, 2020 - cell.com
Microscale flow synthesis is a versatile technology for accelerated materials development
and rapid process-structure-property mapping of solution-processed materials. Lead (Pb) …

Flow chemistry: a sustainable voyage through the chemical universe en route to smart manufacturing

AA Volk, ZS Campbell, MYS Ibrahim… - Annual Review of …, 2022 - annualreviews.org
Microfluidic devices and systems have entered many areas of chemical engineering, and
the rate of their adoption is only increasing. As we approach and adapt to the critical global …

Automated synthesis and processing of functional nanomaterials: Advances and perspectives

M Negahdary, S Mabbott - Coordination Chemistry Reviews, 2025 - Elsevier
Integration of nanotechnology and information technology has seen an enormous leap in
growth with the invention of automated systems capable of synthesizing and processing …

The future of material scientists in an age of artificial intelligence

A Maqsood, C Chen, TJ Jacobsson - Advanced Science, 2024 - Wiley Online Library
Material science has historically evolved in tandem with advancements in technologies for
characterization, synthesis, and computation. Another type of technology to add to this mix is …