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 …
From solution to thin film: molecular assembly of π-conjugated systems and impact on (opto) electronic properties
The assembly of conjugated organic molecules from solution to solid-state plays a critical
role in determining the thin film morphology and optoelectronic properties of solution …
role in determining the thin film morphology and optoelectronic properties of solution …
Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization
Accelerating perovskite solid solution discovery and sustainable synthesis is crucial for
addressing challenges in wireless communication and biosensors. However, the vast array …
addressing challenges in wireless communication and biosensors. However, the vast array …
From data to discovery: recent trends of machine learning in metal–organic frameworks
Renowned for their high porosity and structural diversity, metal–organic frameworks (MOFs)
are a promising class of materials for a wide range of applications. In recent decades, with …
are a promising class of materials for a wide range of applications. In recent decades, with …
High throughput characterization of organic thin film transistors
Automation is vital to accelerating research. In recent years, the application of self‐driving
labs to materials discovery and device optimization has highlighted many benefits and …
labs to materials discovery and device optimization has highlighted many benefits and …
Accurate and efficient structure elucidation from routine one-dimensional NMR spectra using multitask machine learning
Rapid determination of molecular structures can greatly accelerate workflows across many
chemical disciplines. However, elucidating structure using only one-dimensional (1D) NMR …
chemical disciplines. However, elucidating structure using only one-dimensional (1D) NMR …
Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows
Synthetic polymers are highly customizable with tailored structures and functionality, yet this
versatility generates challenges in the design of advanced materials due to the size and …
versatility generates challenges in the design of advanced materials due to the size and …