https://www.advancedmaterialsworld.com/tag/276/materials-informatics IDTechEx provides independent analysis on the development and application of RFID, Printed Electronics, Photovoltaics and Energy Harvesting en Copyright (C) IDTechEx Ltd How AI transforms materials discovery: Why data quality, lab digitization, and inverse design are critical for next-gen alloys, batteries, and beyond - this article offers key insights from industry leaders.https://www.idtechex.com/en/research-article/how-ai-is-transforming-the-materials-industry/33494?rsst2id=276https://www.idtechex.com/en/research-article/how-ai-is-transforming-the-materials-industry/33494?rsst2id=276Fri, 11 Jul 2025 ZZZs.dale@idtechex.com (Sam Dale) The battery industry is facing increasing pressure to develop new chemistries and materials to keep up with rising energy density and sustainability demands. The traditional materials discovery process is both expensive and time-consuming. Machine learning methods, specifically materials informatics, could provide a necessary avenue for accelerating the battery development process.https://www.idtechex.com/en/research-article/materials-informatics-will-revolutionize-battery-development/32476?rsst2id=276https://www.idtechex.com/en/research-article/materials-informatics-will-revolutionize-battery-development/32476?rsst2id=276Wed, 29 Jan 2025 ZZZd.parr@idtechex.com (Daniel Parr) As the electric vehicle (EV) and battery energy storage system (BESS) industries grow, requirements for the batteries that power them become more demanding. To achieve more energy-dense batteries that aren't unsustainably expensive, faster battery development is needed, as well as more efficient management, manufacturing, and recycling methods. Artificial intelligence (AI) will play an important role in achieving these goals.https://www.idtechex.com/en/research-article/ai-is-well-set-to-disrupt-the-battery-supply-chain-and-life-cycle/32153?rsst2id=276https://www.idtechex.com/en/research-article/ai-is-well-set-to-disrupt-the-battery-supply-chain-and-life-cycle/32153?rsst2id=276Mon, 25 Nov 2024 ZZZd.parr@idtechex.com (Daniel Parr) Materials informatics is transforming how materials companies approach R&D, bringing data-centric approaches, including AI and machine learning, to materials science to reduce costs and develop new products faster.https://www.idtechex.com/en/research-article/materials-informatics-solving-challenges-in-materials-r-d/31425?rsst2id=276https://www.idtechex.com/en/research-article/materials-informatics-solving-challenges-in-materials-r-d/31425?rsst2id=276Thu, 18 Jul 2024 ZZZl.schuett@idtechex.com (Lily-Rose Schuett) The risk of missing out on the competitive advantage quantum computing offers is rising. Governments and private investors worldwide are placing multi-billion-dollar bets that the industry will produce huge long-term returns. Yet, for this to be realized, the theoretical advantage of quantum computers must be translated into real-world commercial value. In this article, IDTechEx explores which applications are being developed today across the materials, chemical, automotive, finance, and healthcare industries.https://www.idtechex.com/en/research-article/which-real-world-use-cases-for-quantum-computers-are-now-on-the-way/31103?rsst2id=276https://www.idtechex.com/en/research-article/which-real-world-use-cases-for-quantum-computers-are-now-on-the-way/31103?rsst2id=276Thu, 23 May 2024 ZZZt.skyrme@idtechex.com (Dr Tess Skyrme) The impact of machine learning and data science techniques on the materials industry has grown exponentially since IDTechEx started covering the field of materials informatics in 2020, impacting the real world from lightweight alloys to new battery chemistries.https://www.idtechex.com/en/research-article/idtechex-explains-the-pillars-of-success-in-materials-informatics/31070?rsst2id=276https://www.idtechex.com/en/research-article/idtechex-explains-the-pillars-of-success-in-materials-informatics/31070?rsst2id=276Thu, 16 May 2024 ZZZs.dale@idtechex.com (Sam Dale) Materials informatics applies data-driven strategies to materials R&D. Long before generative AI technology reached peak hype, it had a long history of success in this field. A common approach is to use machine learning models trained on databases of material structures and properties, which then capture the underlying structure-property relationship.https://www.idtechex.com/en/research-article/impact-of-large-language-models-on-the-material-development-landscape/30805?rsst2id=276https://www.idtechex.com/en/research-article/impact-of-large-language-models-on-the-material-development-landscape/30805?rsst2id=276Mon, 08 Apr 2024 ZZZs.dale@idtechex.com (Sam Dale) Materials informatics represents the data revolution's impact on materials R&D. Data-centric approaches, including AI and machine learning, are transforming the way materials scientists and engineers work, getting materials to market faster and driving development in new directions. A range of strategic approaches have emerged, with leading players and commercialized materials developed via data-driven methods emerging.https://www.idtechex.com/en/research-article/materials-informatics-the-ai-designed-materials-revolution/30643?rsst2id=276https://www.idtechex.com/en/research-article/materials-informatics-the-ai-designed-materials-revolution/30643?rsst2id=276Wed, 06 Mar 2024 ZZZs.dale@idtechex.com (Sam Dale) Thursday 21 March 2024 - Materials Informatics: The Data Revolution and AI Boom come to Materials R&D - The latest commercial developments in the field, including the impact of new industry interest in the age of AI; Assessment of the different strategic approaches being adopted; The key technology pillars required for a MI approach; Industry pain points; Application case studieshttps://www.idtechex.com/en/research-article/join-our-upcoming-webinar-on-materials-informatics/30598?rsst2id=276https://www.idtechex.com/en/research-article/join-our-upcoming-webinar-on-materials-informatics/30598?rsst2id=276Thu, 29 Feb 2024 ZZZl.rogers@idtechex.com (Lucy Rogers) Materials informatics is the application of data-driven methods, including machine learning techniques, to the field of materials science. This important part of the digital transformation toolbox for the materials industry has wide-ranging benefits, but the ability to enhance the sustainability of materials and their manufacturing processes could be the most impactful of these.https://www.idtechex.com/en/research-article/ai-for-sustainability-how-materials-informatics-is-driving-change/29096?rsst2id=276https://www.idtechex.com/en/research-article/ai-for-sustainability-how-materials-informatics-is-driving-change/29096?rsst2id=276Fri, 21 Apr 2023 ZZZs.dale@idtechex.com (Sam Dale) The materials industry is sometimes described as conservative, but digital transformation is well underway in the sector. Materials informatics - the application of data-centric approaches, including machine learning, to materials R&D - has the potential to be the most impactful arm of this process.https://www.idtechex.com/en/research-article/deploying-materials-informatics-is-saas-a-one-size-fits-all-approach/28556?rsst2id=276https://www.idtechex.com/en/research-article/deploying-materials-informatics-is-saas-a-one-size-fits-all-approach/28556?rsst2id=276Tue, 24 Jan 2023 ZZZs.dale@idtechex.com (Sam Dale) How can advanced functional materials such as conductive inks be developed more quickly? Anyone who has spent time in a laboratory knows that material development can be a laborious process.https://www.idtechex.com/en/research-article/materials-informatics-for-conductive-ink-development/28373?rsst2id=276https://www.idtechex.com/en/research-article/materials-informatics-for-conductive-ink-development/28373?rsst2id=276Tue, 13 Dec 2022 ZZZm.dyson@IDTechEx.com (Dr Matthew Dyson) Materials informatics (MI) involves using data-centric approaches, including AI and machine learning, to assist scientists and engineers in materials R&D.https://www.idtechex.com/en/research-article/materials-informatics-digital-transformation-comes-to-materials-r-d/28189?rsst2id=276https://www.idtechex.com/en/research-article/materials-informatics-digital-transformation-comes-to-materials-r-d/28189?rsst2id=276Mon, 21 Nov 2022 ZZZs.dale@idtechex.com (Sam Dale) The materials science industry is highly competitive. There are large changes in various sectors, such as an electric and autonomous future for vehicles, geopolitical & legislative developments, and new players offering innovative materials looking to gain market share. The key to future success will rely on commercializing R&D activity and remaining agile to market needs, two reasons that developing a materials informatics strategy is imperative.https://www.idtechex.com/en/research-article/is-this-the-costliest-oversight-in-materials-science-this-century/25718?rsst2id=276https://www.idtechex.com/en/research-article/is-this-the-costliest-oversight-in-materials-science-this-century/25718?rsst2id=276Thu, 20 Jan 2022 ZZZr.collins@IDTechEx.com (Dr Richard Collins) Thursday 9 December 2021 - Assessment of the key mergers and acquisitions; Important funding rounds across; Notable partnerships; Establishment and expansion of production facilities; Role in key application areas including electronic devices, energy storage and 3D printing; Progression in various fields of green technologyhttps://www.idtechex.com/en/research-article/join-the-free-upcoming-idtechex-webinar-on-advanced-materials/25414?rsst2id=276https://www.idtechex.com/en/research-article/join-the-free-upcoming-idtechex-webinar-on-advanced-materials/25414?rsst2id=276Fri, 03 Dec 2021 ZZZa.garrington@idtechex.com (Annick Garrington)