A new post-processing route to improve tensile strength and ductility in 3d-printed alloys
Peer-Reviewed Publication
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Updates every hour. Last Updated: 11-Jan-2026 11:11 ET (11-Jan-2026 16:11 GMT/UTC)
In International Journal of Extreme Manufacturing, researchers have developed a dual post-processing method to make 3D-printed metals much stronger and tougher, addressing one of the field’s most persistent challenges.
By combining deep cryogenic treatment and laser shock peening, researchers find a new way to transform the microscopic structure of 3D-printed metals, relieving internal stresses and enhancing their mechanical resilience.A research team developed a 3D deep learning–based panoptic segmentation model that combines semantic and instance segmentation to map plant tissue microstructures from X-ray micro-computed tomography (CT) images.
A research team has developed a multimodal machine vision model that can accurately predict the flowering, or anthesis, time of individual wheat plants—up to two weeks in advance.
A research team has developed a deep learning-based framework that allows agricultural robots to identify new weed species using only a few training images.
Additive manufacturing (AM), with its high flexibility, cost-effectiveness, and customization, significantly accelerates the advancement of nanogenerators, contributing to sustainable energy solutions and the Internet of Things. In this review, an in-depth analysis of AM for piezoelectric and triboelectric nanogenerators is presented from the perspectives of fundamental mechanisms, recent advancements, and future prospects. It highlights AM-enabled advantages of versatility across materials, structural topology optimization, microstructure design, and integrated printing, which enhance critical performance indicators of nanogenerators, such as surface charge density and piezoelectric constant, thereby improving device performance compared to conventional fabrication. Common AM techniques for nanogenerators, including fused deposition modeling, direct ink writing, stereolithography, and digital light processing, are systematically examined in terms of their working principles, improved metrics (output voltage/current, power density), theoretical explanation, and application scopes. Hierarchical relationships connecting AM technologies with performance optimization and applications of nanogenerators are elucidated, providing a solid foundation for advancements in energy harvesting, self-powered sensors, wearable devices, and human–machine interaction. Furthermore, the challenges related to fabrication quality, cross-scale manufacturing, processing efficiency, and industrial deployment are critically discussed. Finally, the future prospects of AM for nanogenerators are explored, aiming to foster continuous progress and innovation in this field.
An international consortium of researchers has created the largest-ever database compiling records of brain activity during sleep and dream reports. One of the first analyses of the database confirmed that dreams do not occur only during REM sleep, but also during deeper and calmer NREM stages. In these cases, brain activity resembles wakefulness more than deep sleep, as if the brain were “partially awake”.