Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
From detection accuracy to safety assurance in intelligent plant health early warning systems. [PDF]
Wei J, Ren H, Miao J.
europepmc +1 more source
Culinary Chemistry as a Platform for Interfacial Materials Design
Culinary processes control interfaces through heating, shear, gelation, and molecular transport. This Review connects selected gastronomic examples with food‐derived nanomaterials, plasmonic sensing, anthocyanin photovoltaics, and intelligent packaging. Original agar‐based plasmonic films illustrate the proposed translation.
Josep Moreno +12 more
wiley +1 more source
Implementing early warning systems for sepsis recognition in African healthcare settings: an Angolan perspective. [PDF]
Tomás E, Tomás N.
europepmc +1 more source
A Critical Review on the Evolution of Chitosan‐Based Injectable Hydrogels in Bone Regeneration
The graphical illustration depicts hydrogel formulation using chitosan and biocompatible cross‐linkers, major advantages, and incorporation of cells, osteoinductive factors, and therapeutic drugs. Following injection, pH‐responsive gelation enables controlled drug release, promotes cell recruitment and osteogenic differentiation, enhances extracellular
Shivani Santosh Sakhrani +2 more
wiley +1 more source
Proactive personalized early warning systems: the next frontier in climate-health preparedness. [PDF]
Liu T, Wang H, Huang C, Li T.
europepmc +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Artificial intelligence for climate-health early warning systems in the Horn of Africa: opportunities, challenges, and a roadmap for action. [PDF]
Alasow AA, Abdi YH, Hersi AA, Boakye M.
europepmc +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source

