Search results for: 'clutches deep learning'

Anodizing is a metal finishing process that enhances the quality of the metal, protects it from environmental damage and finally makes it aesthetically pleasing. Anodizing imparts color stability and durability, particularly for aluminum. The extensive positive attributes achieved in addition to the ease of operations makes the anodizing markets hi...

AI-enhanced formulation transforms how advanced materials are designed, optimized, and commercialized, shifting from empirical experimentation to predictive, data-driven discovery. By combining AI, ML, and materials informatics, formulators can simulate and optimize complex multi-component systems, accelerating performance tuning, improving sustain...

Artificial intelligence (AI)- and machine learning (ML)-based technologies are being leveraged for materials research and are replacing experimental and simulation-based research approaches. The need to accelerate materials discovery and the desired accuracy in the properties of materials is driving researchers to seek more granular insights from ...

Cosmeceutical ingredients are ingredients with pharmaceutical value. Examples are antioxidants like vitamins and carotenoids used in aging creams which reduce skin aging. This study is segmented on the basis of ingredients (collagen, hyaluronic acid, vitamins, carotenoids, and others) and application (skincare, and hair & nail care). Cosmeceutical ...

A common challenge faced by researchers during material R&D is from a data perspective, such as availability of highly fragmented information due to data systems that vary from application to application, fluctuating data quality and inability to access curated external research activities effectively. Integration of digital technologies such as...

Virtual simulation and modeling technologies are transforming chemicals and materials research and development (R&D) by enabling precise design, testing, and optimization of materials and processes. These technologies facilitate the modeling of complex chemical reactions, allow for accurate predictions of material properties, and make production pr...

Graphene oxide (GO), due to its unique properties, is gaining the focus of researchers and companies alike for use in various industries including energy, batteries, electronics, materials and mobility. GO is found to exhibit requisite tribological properties as solid lubricants, oil-based lubricant additives, water-based lubricants additives and f...

Generative artificial intelligence (GenAI) is emerging as a game changer in the chemicals and materials industry. This technology, which combines advanced machine learning with vast data resources, has the potential to transform the industry by driving innovation, efficiency, and ecologically sound practices. Gen AI allows for faster research and d...

Across various industrial sectors, digitalization has rapidly developed, utilizing several existing and emerging digital technologies, including AI, Big Data analytics (BDA), IoT, machine learning (ML), natural language processing (NLP), robotics, and automation. While the chemicals industry was relatively slow to adopt these technologies, the tran...