Search results for: 'system on models soc'

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...

This study analyzes the impact of evolving regulatory frameworks across the chemical industry, focusing on both product-level and end-industry regulations. The scope spans key product segments including coatings, adhesives and sealants, polymers and composites, fuels and lubricants, and process chemicals, while also assessing downstream implication...

This deliverable focuses on the major trends shaping the lubricants industry, as companies look to identify and invest in areas that support future growth. Market dynamics are greatly influenced by megatrends such as sustainability, international trade, and the evolving policy relationships between countries. While many of these trends affect end i...

25 Sep 2025  |  Global  |  Technology Research

Growth Opportunities in Computational Quantum Chemistry for Accelerated Material Discovery

Harnessing Quantum Algorithms and Simulation Platforms to Transform Material R&D Across Industries

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As global industries confront increasing demands for sustainability, performance, and innovation in materials R&D, computational quantum chemistry is emerging as a crucial enabler in the coming years. By simulating matter at the electron level, quantum chemistry allows for highly accurate predictions of molecular behavior, driving breakthroughs in ...