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Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Exploring Trends and Opportunities in Quantum‐Enhanced Advanced Photonic Illumination Technologies
The development of quantum‐enabled photonic technologies has opened new avenues for
advanced illumination across diverse fields, including sensing, computing, materials, and …
advanced illumination across diverse fields, including sensing, computing, materials, and …
Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
The development of automated high-throughput experimental platforms has enabled fast
sampling of high-dimensional decision spaces. To reach target properties efficiently, these …
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
Metal halide perovskites (MHPs) are promising candidates for next-generation thin film
photovoltaics and high-performance tandems. Solution-processed MHP films are …
photovoltaics and high-performance tandems. Solution-processed MHP films are …
Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories
The accelerating depletion of natural resources undoubtedly demands a radical
reevaluation of research practices addressing the escalating climate crisis. From traditional …
reevaluation of research practices addressing the escalating climate crisis. From traditional …
AEcroscopy: a software–hardware framework empowering microscopy toward automated and autonomous experimentation
Microscopy has been pivotal in improving the understanding of structure‐function
relationships at the nanoscale and is by now ubiquitous in most characterization labs …
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
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 …
acceleration platform for the deposition and characterization of spin-coated thin films, with …
Repeatable Perovskite Solar Cells through Fully Automated Spin-Coating and Quenching
Enhancing reproducibility, repeatability, as well as facilitating transferability between
laboratories will accelerate the progress in many material domains, wherein perovskite …
laboratories will accelerate the progress in many material domains, wherein perovskite …
Using scalable computer vision to automate high-throughput semiconductor characterization
High-throughput materials synthesis methods, crucial for discovering novel functional
materials, face a bottleneck in property characterization. These high-throughput synthesis …
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 …
methods are required that allow for fast iteration of fabrication and characterisation, such that …