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This issue of High-Tech Materials Technology Opportunity Engine (TOE) profiles significant advancements in high-tech materials for various enhanced industrial applications. The featured innovations include Recycling Polystyrene to Produce Sustainable Surface Materials, Seaweed-based Sustainable and Biodegradable Packaging, High-performance Plant-ba...

The women's health space is emerging as one of the fastest-growing segments within the broader health and wellness industry; however, certain challenges persist. Historically, women have been underrepresented in clinical trials, leading to a lack of data specifically focused on female health conditions. Most nutraceutical and pharmaceutical product...

Automotive segment is expected to remain dominant and the key growth area for engineering plastics demand in India. Automotive is followed closely by electrical and electronics and appliances segment. Government’s push towards making India a manufacturing hub, especially in Automotive and appliances sector will be one of the major demand drivers fo...

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 ...

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...

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...