Online dispute resolution for crypto-asset disputes: AI, smart contracts and digital inclusion by design. [PDF]
Arnone G, Giacalone M.
europepmc +1 more source
n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis +19 more
wiley +1 more source
Cross-Virus RNA Language Models for Within-Family RNA-RNA Interaction Prediction in SARS-CoV-2 and Porcine Deltacoronavirus. [PDF]
Yang X, Shen W, Li Y, Zhu L, Huang T.
europepmc +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
The rise of agentic AI in drug discovery from static tools to autonomous virtual scientists. [PDF]
Zhao D +9 more
europepmc +1 more source
Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab +8 more
wiley +1 more source
Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study. [PDF]
Yang B, Fan Y, Wei X, Shi C.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Physics informed neural network surrogate modeling and global sensitivity analysis of magnetized nanofluid flow over a porous cylinder for solar thermal energy applications. [PDF]
Hussain M, Alhushaybari A.
europepmc +1 more source

