This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create smarter wearable systems for physiological monitoring and human-machine interaction. It argues that real-world deployment will depend on cross-layer co-design, durable skin interfaces, efficient edge computing, and standardized testing under everyday conditions.
Researchers introduced intrinsically nonlocal metamaterials, demonstrating that nanoscale semiconductor layering can shape a material’s intrinsic charge-carrier response and thereby determine how light propagates. The study combines theory, simulations, and room-temperature infrared experiments to reveal electromagnetic modes that conventional local models cannot explain.
Summer has hit the Northern Hemisphere, bringing a roller-coaster of temperature and humidity swings to many areas.
The review finds that biodegradable plastics could help reduce persistent plastic pollution, but only if paired with lower plastic use, better recycling, clear certification, and proper disposal infrastructure. It highlights major barriers, including high costs, inconsistent real-world degradation, environmental trade-offs, and limited waste-management systems.
Researchers developed a glaze-inspired CoO–Cr2O3 ceramic coating that self-heals thermally induced cracks through cobalt oxide phase segregation at elevated temperatures. The coating mimics protective cobalt-superalloy glaze layers, improving crack tolerance and supporting high-temperature tribological performance for gas turbine engine surfaces.
What would it take to instantly transform a material from an electrical insulator into a conductive state without ever touching it- Using ultrafast laser pulses and powerful X-rays, scientists at the National Synchrotron Light Source II (NSLS-II).
Researchers identified galvanic corrosion between deposited zinc and current collectors as a major, previously underappreciated cause of irreversible zinc loss in anode-less aqueous zinc batteries. A PVDF/CeF3 hybrid interface suppressed corrosion, guided dense zinc deposition, and enabled longer cycling, lower self-discharge, and pouch-cell energy densities exceeding 90 Wh L?¹.
Researchers developed SG-CDVAE, a symmetry-aware generative AI framework that embeds space-group information into the generation of crystal structures to improve the search for high-symmetry antiferromagnets. From 110,000 generated structures, the workflow identified 80 high-symmetry AFM candidates, of which 4 were computationally validated as thermodynamically and dynamically stable.
Researchers developed a deep neural network framework that predicts hafnium oxide thin-film thickness, refractive index, and wet etch rate from atomic-layer-deposition process conditions and wafer location. The model generated process-property maps that could accelerate ALD optimization while supporting future digital twin-guided semiconductor manufacturing.
Researchers argue that Digital Rock Physics could help the UK and Europe move from critical minerals targets to practical supply-chain implementation by linking 3D imaging, correlative chemistry, AI, and pore-scale modeling. The paper positions DRP as a shared infrastructure for assessing complex ores, brines, tailings, and recycling feedstocks, while stressing that validation, data standards, upscaling, and industrial access remain key barriers.
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