Understanding orderly and disorderly behavior in 2D nanomaterials could enable bespoke design, tailored by AI
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Updates every hour. Last Updated: 20-Dec-2025 07:11 ET (20-Dec-2025 12:11 GMT/UTC)
But a recent discovery by a multi-university collaboration of researchers, led by Drexel University researcher Yury Gogotsi, PhD, and Drexel alumnus Babak Anasori, PhD, who is now an associate professor at Purdue University, that sheds light on the thermodynamics undergirding the materials’ unique structure and behavior, could be the key to supercharging the development of two-dimensaional materials with artificial intelligence technology. The discovery was recently reported in the journal Science.
Scientists have developed a tool made from a modified glue gun that can 3D print bone grafts directly onto fractures and defects during surgery. The tool, described September 5th in the Cell Press journal Device, allows scientists to quickly create complex bone implants without the need for prefabricating in advance. What’s more, the team optimized the 3D-printed grafts for high structural flexibility, release of anti-inflammatory antibiotics, and promotion of natural bone regrowth at the grafting site.
This article examines the potential of Artificial Intelligence-driven Distributed Acoustic Sensing (AI+DAS) technology in engineering applications. Based on fiber optic monitoring, DAS enables real-time acoustic signal monitoring by detecting disturbances along the fiber, offering long measurement distances, high spatial resolution, and a large dynamic range. The article outlines the basic principles and demodulation methods of DAS using Φ-OTDR technology, highlighting AI's role in data processing and event recognition. By integrating AI algorithms, DAS systems enhance monitoring accuracy and reliability. Additionally, the article reviews AI+DAS applications across various fields, including engineering and geology, and discusses challenges such as model complexity and resource demands. Overall, it aims to foster interdisciplinary collaboration and support digital transformation in industrial scenarios.