News
Transforming Data into Discovery: A Guide to the Materials Science Learning Center
3+ hour, 24+ min ago (680+ words) In scientific practice, tools alone are never enough. What distinguishes raw measurements from actionable understanding is perception; forethought in experimental design, discipline in data interpretation, and a willingness to question what you think you see. Below, we highlight the four…...
Materials Intelligence Will Turn on the Engine of Beauty R&D
5+ day, 21+ hour ago (1085+ words) Instead of relying on repeated rounds of tweaking, cosmetic brands are starting to treat formulations like engineered systems, using AI and molecular simulation to model, stress-test, and refine them before a single beaker is lifted or a lab sample is…...
Chemical Mapping of Self Assembled Monolayers Using PiFM
1+ week, 1+ day ago (617+ words) A uniformly flat microscopy image can be unclear, however, since it could correspond to either an unmodified substrate or to a fully functionalized, entirely flat monolayer. Image-based analysis alone is, therefore, not enough to confirm SAM coverage quality. This limitation…...
How is Artificial Intelligence Changing Materials R&D?
1+ week, 6+ day ago (980+ words) AI has been optimizing workflows and data analysis for years, but recent advances in machine learning have hit fast-forward on its impact in materials science." Rather than replacing steps that have been fine-tuned for decades, AI is increasingly acting as…...
Key Trends Shaping the Future of Flow Chemistry
1+ mon, 2+ week ago (746+ words) Flow Chemistry is changing how chemical synthesis is undertaken in both research labs and large-scale manufacturing. The transition from older batch processing methods to continuous flow methods, such as H.E.L.s'FlowCAT, has brought with it increased safety, better control, and faster…...
Implementing AI in Materials and Chemicals: From Optional to Essential
1+ mon, 2+ week ago (504+ words) After 12 years of continuous progress, we have reached a watershed moment in AI adoption throughout the materials and chemicals industries. Year over year, the Citrine Platform user community has grown by 276 %. AI is no longer a "nice to have"; it…...
Increasing Polymer Sustainability With AI-Driven Materials Development
1+ mon, 2+ week ago (1098+ words) The Citrine Platform addresses these issues by equipping product specialists with cutting-edge AI solutions that need little learning yet offer maximum impact. Citrine distinguishes itself by its capacity to learn efficiently from tiny datasets while incorporating expert knowledge - a significant…...
AI-Driven Strategies for Removing PFAS and Other Problematic Ingredients
1+ mon, 2+ week ago (478+ words) As regulatory limits phase out certain raw materials, the chemical industry is increasingly turning to AI to accelerate the search for viable alternatives. This is accomplished by encoding molecular structures into computer-readable formats such as SMILES (Simplified Molecular Input Line…...
AI at Work: How Dorfner is Transforming Materials Innovation
1+ mon, 2+ week ago (562+ words) Discover how Dorfner, founded in 1895, is using artificial intelligence to improve development in paints and coatings, composites, construction chemicals, plastics, and other areas. Dorfner used the Citrine Platform to: Gebr'der Dorfner GmbH & Co. is a 130-year-old family business in Germany's…...
Unveiling the Next Frontier in Materials AI
1+ mon, 3+ week ago (415+ words) Our goals are loftier. We need new materials to solve humanity's existential challenges, but our methods haven't changed. It's like getting in the ring against Mike Tyson with one hand tied behind your back." At Citrine, our goal is to…...