Content Library

Extracting, cleaning and analyzing and visualizing MPEA data.

This webinar will showcase the benefits of combining AI with physics-based simulations at different length scales, from atomic and molecular simulation to microstructural modelling tools and FEA.

This webinar summarizes how AI is impacting materials companies through faster speeds to market, increased responsiveness to customer and market needs and greater knowledge retention and new hire onboarding.

An executive discussion between the founders of Citrine Informatics and Zymergen on the intersection of sustainability and digitalization. They discuss how Zymergen has developed sustainable products in record time...

The best missions don’t just provide lip service to pipe dreams, they add purpose to the work employees are pushing toward on a daily basis.

Over the past several years, the field of materials informatics has grown dramatically. Applications of machine learning (ML) and artificial intelligence (AI) to materials science are now commonplace. As...

A central challenge in high throughput density functional theory (HT-DFT) calculations is selecting a combination of input parameters and post-processing techniques that can be used across all materials classes,...

Single-crystal diffraction is one of the most common experimental techniques in chemistry for determining a crystal structure. However, the process of crystal structure determination and refinement is not always...

Data‐driven science and technology have helped achieve meaningful technological advancements in areas such as materials/drug discovery and health care, but efforts to apply high‐end data science algorithms to the...

The rapidly growing interest in machine learning (ML) for materials discovery has resulted in a large body of published work. However, only a small fraction of these publications includes...