NOVEL CANDIDATES Combination of customer team's domain knowledge and Citrine's AI Platform find novel high-performing candidates

AGC Glass Europe and Citrine Informatics are collaborating to use artificial intelligence (AI) to accelerate the development of next-generation glass. Citrine Informatics is a technology platform that harnesses the power of AI to bring new materials to market faster, and capture materials-enabled product value. AGC is providing experimental data to build proprietary AI models using the Citrine platform and is testing the newly suggested materials. The models are improved by Citrine through this sequential learning process, which targets the identification of the best process conditions to reach high-performance glass materials. Marc Van Den Neste, CTO of the Building & Industrial Glass Company from AGC said: "The future of materials development depends on speed. Developing these high performance materials faster will require managing and using data more effectively, which includes consolidating data into a single consistent searchable format, as well as structuring, storing, and using materials data to harness the power of AI." "Artificial Intelligence is expected to dramatically change how the scientists design experiments or value data, leading to breakthrough results."

WIRE)--Citrine Informatics has been named an Enterprise of the Year Gold winner in the Best in Biz Awards, the only independent business awards program judged by prominent editors and reporters from top-tier publications in North America. Citrine Informatics' artificial intelligence technology is used by the world's largest materials and chemicals companies to accelerate the product development cycle. Since 2011, Best in Biz Awards' entrants have spanned the spectrum, from the most innovative local companies and start-ups to some of the most recognizable global brands. With more than 700 entries, the 9th annual program attracted a record number of entries from an impressive array of public and private companies of all sizes and spanning all geographic regions and industries in the U.S. and Canada. Best in Biz Awards 2019 honors were conferred in 80 different categories, including Company of the Year, Fastest-Growing Company, Most Innovative Company, Best Place to Work, Customer Service Department, Executive of the Year, Most Innovative Product, Enterprise Product, Best New Service, CSR Program, Event and Blog of the Year.

Cologne – LANXESS is broadening its use of artificial intelligence (AI) in product development. The specialty chemicals company has launched a project aimed at expanding its range of prepolymers. The goal is to offer customers tailor-made polyurethane systems with even shorter lead times, including for entirely new applications with different requirements. The Urethane Systems business unit is using the potential of AI and has brought materials AI company Citrine Informatics on board as a project partner. LANXESS data specialists and process experts used the Citrine Platform for artificial intelligence to add further data points to the company's formulation database.

Artificial intelligence (AI) isn't magic, it's just really complicated math, said Greg Mulholland, CEO and founder of Citrine Informatics (Redwood City, CA), at a press roundtable hosted by Lanxess (Cologne, Germany) at K 2019. But Mulholland's hosts seemed quite bedazzled by his AI-enabled platform, nonetheless. Lanxess is the first company to adopt Citrine's technology at scale, and Dr. Markus Eckert, Senior Vice President, Head of Business Unit Urethane Systems at Lanxess was eager to explain what it means for customers. Citrine is a Silicon Valley startup that couldn't be more niche: It has developed a platform that leverages data and AI specifically to accelerate the development of materials and chemicals. Citrine has been recognized for technology innovation by the World Economic Forum as a Tech Pioneer, and collaborates with world-class academic institutions such as Carnegie Mellon University in Pittsburgh and the University of California, Berkeley.

Citrine is a company that builds data infrastructure and predictive data analysis software for the materials industry. Machine learning is a key tool in our toolbox. I have had a few professors and students in materials departments ask me (1) how machine learning could help in their research; and (2) how to quickly come up to speed in machine learning without going back to school for a degree in computer science. While a variety of machine learning courses and how-tos exist on the web already (see here, here, or here), none are specific to the field of materials science. I think the best way to master a new concept is by directly applying it, so this tutorial will show you how to build a machine learning-based model of a canonical solid-state materials property: band gap.