Comparing energy consumption and accuracy in text classification inference. [PDF]
Zschache J, Hartwig T.
europepmc +1 more source
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang +5 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Characterizing the Evolution of Inter-Actor Networks in the South China Sea Arbitration via Entropy-Driven Graph Representation Learning from Massive Media Event Data. [PDF]
Ma M, Yu H, Fang P.
europepmc +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
NIPS: Network Inference with Partial State measurements using forced-delay embedding. [PDF]
Singhal B, Kiss IZ, Li JS.
europepmc +1 more source
Nanomaterial Integration at Liquid–Liquid Interfaces for Green Catalysis
Functional nanomaterials assembled at liquid–liquid interfaces create dual‐role platforms serving as emulsion stabilizers and catalytic sites, offering enhanced reaction kinetics with improved catalyst recovery and recyclability. This review examines design strategies, structure‐performance relationships, and industrial implementation prospects of ...
Bokgi Seo +6 more
wiley +1 more source
A deep reinforcement learning framework for influence maximization problem on large-scale social networks. [PDF]
Yang F +5 more
europepmc +1 more source
Additive Manufacture of Diamond:Titanium Hybrid Quantum Sensors
ABSTRACT Additive manufacture represents one of the most advanced techniques for the creation of complex parts for applications as diverse as aerospace and implant surgery. However, a challenge with bespoke manufacture of metal parts is the incorporation of sensor elements in a fashion compatible with the 3D printing process.
Daniel Stavrevski +12 more
wiley +1 more source
The MOGA multi-modal framework based on graph augmentation networks for drug response prediction. [PDF]
Zhang K, Wang R, Zang T, Zhao Y.
europepmc +1 more source

