Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Ultraflexible photoelectrical impedance tomography-based imager for 3-axis robotic tactile sensing. [PDF]
Qiao K +10 more
europepmc +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Investigation on performance of steel strut servo system braced deep excavation adjacent to existing buildings: a case study. [PDF]
Zhao P, Qiu Y, Liu F, Wang Z, Guo P.
europepmc +1 more source
Research on fault diagnosis method of fiber optic sensing roller driven by dynamic model. [PDF]
Zhang H +7 more
europepmc +1 more source
Mitigating request flooding attack in named data networking using federated learning. [PDF]
Benmaidi ML, Lagraa N, Brik B, Jlali L.
europepmc +1 more source
Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations. [PDF]
Anti NYD, Frimpong S, Raza MA.
europepmc +1 more source
Lightweight metal surface defect detection algorithm based on pruning and knowledge distillation. [PDF]
Cao Y, Yao Y, Lu L.
europepmc +1 more source

