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 …

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 …

In pursuit of the exceptional: Research directions for machine learning in chemical and materials science

J Schrier, AJ Norquist, T Buonassisi… - Journal of the American …, 2023 - ACS Publications
Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …

Smart Dope: a self‐driving fluidic lab for accelerated development of doped perovskite quantum dots

F Bateni, S Sadeghi, N Orouji… - Advanced Energy …, 2024 - Wiley Online Library
Metal cation‐doped lead halide perovskite (LHP) quantum dots (QDs) with
photoluminescence quantum yields (PLQYs) higher than unity, due to quantum cutting …

Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys

T Wang, R Li, H Ardekani, L Serrano-Luján, J Wang… - Matter, 2023 - cell.com
The vast chemical space of emerging semiconductors, like metal halide perovskites, and
their varied requirements for semiconductor applications have rendered trial-and-error …

Autonomous chemical science and engineering enabled by self-driving laboratories

JA Bennett, M Abolhasani - Current Opinion in Chemical Engineering, 2022 - Elsevier
Highlights•An overview of the elements of self-driving laboratories.•Recent advancements in
autonomous chemical science and engineering.•Recent progress in closed-loop …

Research acceleration in self‐driving labs: Technological roadmap toward accelerated materials and molecular discovery

F Delgado-Licona, M Abolhasani - Advanced Intelligent …, 2023 - Wiley Online Library
The urgency of finding solutions to global energy, sustainability, and healthcare challenges
has motivated rethinking of the conventional chemistry and material science workflows. Self …

Performance metrics to unleash the power of self-driving labs in chemistry and materials science

AA Volk, M Abolhasani - Nature Communications, 2024 - nature.com
With the rise of self-driving labs (SDLs) and automated experimentation across chemical
and materials sciences, there is a considerable challenge in designing the best autonomous …

Metal-doping of halide perovskite nanocrystals for energy and environmental photocatalysis: challenges and prospects

F Zhong, Y He, Y Sun, F Dong, J Sheng - Journal of Materials …, 2022 - pubs.rsc.org
Halide perovskite nanocrystals (HPNCs) have recently become potential photocatalytic
materials due to their perfect structure and unique photoelectric properties. However …

When not to use machine learning: A perspective on potential and limitations

MR Carbone - MRS Bulletin, 2022 - Springer
The unparalleled success of artificial intelligence (AI) in the technology sector has catalyzed
an enormous amount of research in the scientific community. It has proven to be a powerful …