Content Library

Data-driven models are central to scientific discovery. In efforts to achieve state-of-the-art model accuracy, researchers are employing increasingly complex machine learning algorithms that often outperform simple regressions in interpolative...

Generative AI is disrupting and reshaping many industries globally. In the materials and chemicals space, the effective deployment of AI (or not) is going to separate the winners from...

Leading Requires Action is an executive roundtable discussion on the value of implementing AI in product development and R&D, along with how the core challenges to do so are...

Join Dr. Lenore Kubie and Dr. Robert Kieschke for a webinar discussing how teams can efficiently prepare their data as part of digital transformation initiatives.

To meet ever-shifting market, customer, and supply demands, leaders in the formulated adhesives industry have adopted artificial intelligence (AI) to accelerate new polyolefin development. Join Citrine Informatics and Synthomer to...

As consumer product innovation organizations continue to navigate supply chain disruption, ever-increasing sustainability objectives, and global economic uncertainty, today’s consumer goods companies must confront these challenges while seeking growth...

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

Sequential learning and autonomous atomistic simulations help discover new catalysts with co-optimized properties.

The battery industry must dramatically accelerate both technology development and production in order to meet rising global demand in the transportation and grid energy storage sectors.

Learn how chemicals industry leaders are prioritizing exclusion of per- and polyfluoroalkyl substances from their product development, and leveraging the capabilities of artificial intelligence to quickly react to regulatory...