Robotic experimentation platforms can enable faster materials discovery and optimization through automation, high throughput experimentation and standardization. However, an exhaustive search of a vast materials space with varying compositions, formulations, and processing conditions is prohibitively expensive. Machine learning algorithms are widely used to learn from experiments performed by automated experimentation platforms and suggest the most […]
Read More