Search results for: 'cases data learning'

The coatings, adhesives, sealants, and elastomers (CASE) & construction materials industry continued to witness growth and transformation in 2024, even amidst ongoing sustainability and supply chain challenges. The industry addressed these issues in both proactive and responsive ways with innovative product lines, technology integration, and effect...

The rapid expansion of AI, cloud computing, and high-performance computing is changing the way data centers are designed and operated. Higher computing power and increasing rack densities are creating greater requirements for heat management, power efficiency, reliability, and infrastructure performance. These changes also increase the importance o...

This study presents an assessment of the current status and future prospects of the global market for coatings, adhesives and sealants, and elastomers (CASE) in renewable energy applications: solar, wind, and other (hydroelectric, fuel cell, biomass, biogas, bioenergy, geothermal, and tidal energies). The research accounts for volume shipment and r...

22 Apr 2020  |  Global  |  Market Outlook

Global Outlook for Chemicals in the Plastics and Composites, CASE, and Construction Industries, 2020

Digital Transformation, 3-D Printing, and Circular Economy Trends, along with Relief from the Phase I US-China Trade Deal, Will Be Key Influencers

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This research service analyzes the market for coatings, adhesives, sealants, and elastomers (CASE), plastics and composites, and construction chemicals in 2019 and looks forward to 2020. • CASE products are used in construction, infrastructure, manufacturing, transportation, water and wastewater, oil and gas, and power generation. • ...

Data-driven materials informatics is transforming the discovery and development of advanced materials, enabling faster innovation across polymers, coatings, and catalytic systems. By integrating experimental data, computational simulations, and AI and ML models, these platforms enable predictive design, efficient formulation optimization, and accel...

Data science, software engineering, and materials knowledge researchers must collaborate to bridge the gaps in materials R&D and accelerate digital transformation. To introduce digital innovation into the lab, scientists need to develop new skills and manage larger data volumes more efficiently using tools such as artificial intelligence (AI), big ...

As heat generation intensifies across high-performance electronics, electric vehicles, and digital infrastructure, advanced thermal management materials improve system efficiency, reliability, and longevity. This analysis provides a structured benchmarking of leading industry participants that are advancing innovation and commercial traction acros...

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...

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...