Search results for: 'Computing Center'

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...

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 ...

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...

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...

The global market for bio-identical cosmetic actives is undergoing a structural transformation driven by advances in synthetic biology, precision fermentation, cell-free biomanufacturing, and AI-enabled molecule discovery. These technologies are enabling the production of highly targeted, sustainable, and functionally superior ingredients such as r...

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 ...

Nanophotonics is the science of controlling light generation, manipulation, transport, and detection on ultra-small length scales. It is an emerging technology that involves the interaction of light with structures smaller than approximately 100nm. The technology has a far-reaching application landscape, and photovoltaics and displays are likely...

Ever-evolving consumer preferences, growing urbanization and rising disposable incomes, rapid technological advancements, and the proliferation of affordable Internet connectivity, among other factors collectively entails a dynamic period for the global consumer electronics market, composed primarily of devices such as televisions, computing device...

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...