News
Labvantage Solutions Introduces Labvantage CORTEX, Advancing its LIMS Platform for AI-Driven Laboratory Operations
4+ hour, 10+ min ago (241+ words) At the core of LabVantage CORTEX is a marriage between AI-driven innovation and the stable LIMS environment. LabVantage CORTEX is a multi-tenant, cloud-native platform where autonomous AI agents can orchestrate complex laboratory tasks inside the core LIMS. This approach allows…...
AI-Powered Platform Could Compress Chemistry and Material Discovery Timelines
2+ week, 1+ day ago (610+ words) Chemistry is entering a new digital era, from automated synthesis labs to voice-activated quantum calculations, Qian explained. And yet chemical characterization - which guides everything from material design to performance optimization - has been left behind. The DTCS platform is changing this…...
FTIR and Raman Analysis of Polymer Laminates
3+ week, 6+ day ago (609+ words) Often, a greater number of FTIR libraries tend to be available, which is an advantage when trying to identify unknown materials. DXR3xi Raman Imaging Microscope and Nicolet RaptIR FTIR Microscope. Image Credit: Thermo Fisher Scientific - Vibrational Spectroscopy The Nicolet RaptIR FTIR…...
Polaron Raises $8 M to Build the ‘Intelligence Layer for Materials Science’
1+ mon, 2+ day ago (463+ words) Polaron, the London-based AI startup transforming how advanced materials are characterized, designed and manufactured, has raised $8 million to build the "intelligence layer for materials science. This means addressing a bottleneck in materials manufacturing: understanding the connection between how materials are…...
Web-Based Tool Makes it Easier to Design Advanced Materials
1+ mon, 2+ day ago (404+ words) Modern industry relies heavily on catalysts, which are substances that speed up chemical reactions. They're vital in everything from manufacturing household chemicals to generating clean energy or recycling waste. However, designing new catalysts is challenging because their performance is affected…...
AIMPLAS Promotes the Use of Artificial Intelligence to Predict the Properties of Plastic Materials with the POLY-ML Project
1+ mon, 2+ day ago (250+ words) The project focuses on the development of predictive models capable of anticipating the mechanical, thermal or physical properties of materials, which will enable faster and more accurate decisions to be made in the early stages of development. This data-driven approach…...
Transforming Data into Discovery: A Guide to the Materials Science Learning Center
1+ mon, 2+ day 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
1+ mon, 1+ week 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+ mon, 1+ week 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+ mon, 2+ week 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…...