Translational Nanomaterials: From Structure-Property Design to Real-World Applications

Recent advances in nanotechnology and materials science have led to the development of increasingly sophisticated materials with tailored structural, chemical, electronic, and biological functionalities. These innovations have created unprecedented opportunities in fields ranging from energy and environmental technologies to healthcare and advanced manufacturing. However, translating promising laboratory discoveries into commercially viable and societally impactful technologies remains a major challenge. Factors such as scale-up limitations, manufacturing complexity, cost considerations, long-term stability, and regulatory requirements frequently hinder successful implementation. At the same time, emerging tools including artificial intelligence, machine learning, and materials informatics are transforming how materials are designed, optimized, and deployed. Addressing the translational gap requires integrated efforts that combine fundamental understanding, advanced characterization, computational approaches, engineering solutions, and real-world validation.The goal of this Research Topic is to advance the translation of innovative nanomaterials and advanced functional materials from fundamental research toward practical applications and industrial implementation. While significant progress has been achieved in materials discovery, many promising materials remain confined to laboratory environments due to challenges associated with scalability, reproducibility, performance optimization, and technology transfer. This Research Topic seeks to address these challenges by bringing together research that integrates structure-property-performance relationships with application-driven design, pilot-scale validation, manufacturing considerations, and deployment strategies. We particularly encourage studies that combine experimental and computational methodologies, including artificial intelligence, machine learning, and materials informatics, to accelerate materials development and optimization. By fostering collaboration among academic researchers, engineers, industry stakeholders, and translational scientists, this Research Topic aims to identify pathways that can bridge the gap between discovery and implementation while supporting the development of sustainable, efficient, and economically viable materials-based technologies.The overall aim of this Research Topic is to bring together interdisciplinary contributions that address both fundamental innovation and the translation of advanced nanomaterials technologies into scalable and practical applications. In view of this, topics of interest include, but are not limited to: • Advanced functional, smart, bio-, hybrid, and nanostructured materials • Structure–property–performance relationships and modeling• Sustainable and circular materials design • Scale-up methodologies and manufacturing strategies • Pilot-scale testing and validation • AI, machine learning, and materials informatics in materials discovery• Computational and high-throughput approaches for design optimization• Advanced characterization and in situ analysis techniques • Predictive modeling and data-driven engineering• Technology translation and regulatory frameworks.Applications may encompass energy storage and conversion, environmental remediation, water treatment, biomedical technologies, electronics, sensors, catalysis, advanced manufacturing, and industrial processes. Contributions demonstrating clear pathways toward real-world implementation, industrial relevance, and societal impact are particularly encouraged.We welcome original research articles, reviews, mini-reviews, perspectives, and technology and code contributions related to translational nanomaterials and nano-enabled materials systems. Topic editors: Jasmina Nikić, Jasmina Agbaba, Dr. Saurabh Tiwari Source: https://www.frontiersin.org/research-topics/82468/translational-nanomaterials-from-structure-property-design-to-real-world-applications