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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 ...

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...

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 ...

Several industries are witnessing a digital transformation due to the rise in technologies and Industry 4.0. The food and beverage (F&B) industry is seeing a new range of opportunities with improved connectivity, better food safety, and consumer interaction. F&B considers food safety to be prime due to the burden of food contamination and foodborn...

Smart surface coatings and functional interfaces for extreme environments are emerging as critical enablers of industrial resilience, asset longevity, and operational efficiency across aerospace, energy, transportation, infrastructure, manufacturing, and defense sectors. As operating conditions become increasingly severe due to higher temperatures,...

This issue of High-Tech Materials Technology Opportunity Engine (TOE) highlights technology developments related to innovations in digital technologies for material modelling and high-strength steels across applications. Innovations related to biomimetics, computational design methods, automotive steels, metallic glasses, and artificial neural netw...

In the rapidly evolving landscape of 2025, where technological advancements are accelerating, the ability to identify, invest in, and leverage these advancements is becoming increasingly critical for organizations aiming to maintain industry leadership and ensure sustainable growth. Recognizing this imperative, Frost & Sullivan introduces (launches...

In the rapidly evolving landscape of 2026, where technological advancements are accelerating, the ability to identify, invest in, and leverage these advancements is becoming increasingly critical for organizations aiming to maintain industry leadership and ensure sustainable growth. Recognizing this imperative, Frost & Sullivan introduces (launches...