Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

In light of the pressing need for practical materials and molecular solutions to renewable
energy and health problems, to name just two examples, one wonders how to accelerate …

Contemporary materials discovery requires intricate sequences of synthesis, formulation,
and characterization that often span multiple locations with specialized expertise or …

Abstract Climate Change and Materials Criticality challenges are driving urgent responses
from global governments. These global responses drive policy to achieve sustainable …

Integrating automation and autonomy into self-driving laboratories promises more efficient
and reproducible experimentation while freeing scientists to focus on intellectual challenges …

The pressing need for improved energy materials calls for an acceleration of research to
expedite their commercial application for the energy transition. To explore the vast amount of …

Compliance with good research data management practices means trust in the integrity of
the data, and it is achievable by full control of the data gathering process. In this work, we …

Utilizing a human in the loop Bayesian optimisation paradigm based on Gaussian process
regression, we optimized an Ni electrodeposition method to synthesize nano-structured …

Non-destructive 3D imaging techniques, such as X-ray nano-holo-tomography, enable the
visualization of battery electrodes. Segmenting electrodes into distinct phases is crucial for a …

The materials research community is increasingly using automation and artificial intelligence
(AI) to accelerate research and development. A materials acceleration platform (MAP) …