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 …

Exploring Trends and Opportunities in Quantum‐Enhanced Advanced Photonic Illumination Technologies

BA Taha, AJ Addie, AJ Haider… - Advanced Quantum …, 2024 - Wiley Online Library
The development of quantum‐enabled photonic technologies has opened new avenues for
advanced illumination across diverse fields, including sensing, computing, materials, and …

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

AKY Low, F Mekki-Berrada, A Gupta… - npj Computational …, 2024 - nature.com
The development of automated high-throughput experimental platforms has enabled fast
sampling of high-dimensional decision spaces. To reach target properties efficiently, these …

In situ Stress Monitoring Reveals Tension and Wrinkling Evolutions during Halide Perovskite Film Formation

B Guo, M Chauhan, NR Woodward… - ACS Energy …, 2023 - ACS Publications
Metal halide perovskites (MHPs) are promising candidates for next-generation thin film
photovoltaics and high-performance tandems. Solution-processed MHP films are …

Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories

S Sadeghi, RB Canty, N Mukhin, J Xu… - ACS Sustainable …, 2024 - ACS Publications
The accelerating depletion of natural resources undoubtedly demands a radical
reevaluation of research practices addressing the escalating climate crisis. From traditional …

AEcroscopy: a software–hardware framework empowering microscopy toward automated and autonomous experimentation

Y Liu, K Roccapriore, M Checa, SM Valleti… - Small …, 2024 - Wiley Online Library
Microscopy has been pivotal in improving the understanding of structure‐function
relationships at the nanoscale and is by now ubiquitous in most characterization labs …

Pascal: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys

DN Cakan, RE Kumar, E Oberholtz, M Kodur… - Digital …, 2024 - pubs.rsc.org
The Perovskite Automated Spin Coat Assembly Line–PASCAL–is introduced as a materials
acceleration platform for the deposition and characterization of spin-coated thin films, with …

Repeatable Perovskite Solar Cells through Fully Automated Spin-Coating and Quenching

DO Baumann, F Laufer, J Roger, R Singh… - … Applied Materials & …, 2024 - ACS Publications
Enhancing reproducibility, repeatability, as well as facilitating transferability between
laboratories will accelerate the progress in many material domains, wherein perovskite …

Using scalable computer vision to automate high-throughput semiconductor characterization

AE Siemenn, E Aissi, F Sheng, A Tiihonen… - Nature …, 2024 - nature.com
High-throughput materials synthesis methods, crucial for discovering novel functional
materials, face a bottleneck in property characterization. These high-throughput synthesis …

Bayesian parameter estimation for characterising mobile ion vacancies in perovskite solar cells

SG McCallum, O Nicholls, KO Jensen… - Journal of Physics …, 2023 - iopscience.iop.org
To overcome the challenges associated with poor temporal stability of perovskite solar cells,
methods are required that allow for fast iteration of fabrication and characterisation, such that …