Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
A microscopic traffic characterization considering the impact of density on carbon emissions from CAVs. [PDF]
Khan ZH +4 more
europepmc +1 more source
This review critically examines thermal transport and radiative properties of ultra‐high temperature ceramics for hypersonic flight, advanced nuclear systems, and next‐generation energy conversion devices. It explores phonon–photon–electron interactions, microstructural engineering, thermoelectric conversion, and machine learning‐accelerated multiscale
Zhipeng Pei +8 more
wiley +1 more source
Driving into the Unknown: Investigating and Addressing Security Breaches in Vehicle Infotainment Systems. [PDF]
Yan M, Crane G, Suillivan D, Shan H.
europepmc +1 more source
A similarity-based predictive scheduling method for dynamic electric vehicle charging load management. [PDF]
Firouzjah KG, Ghasemi J.
europepmc +1 more source
From Concrete to Code: A Survey of AI-Driven Transportation Infrastructure, Security, and Human Interaction. [PDF]
Kose NA, Kose K, Liang F.
europepmc +1 more source
Reinforcement learning for dynamic speed control in connected and autonomous vehicles: A review of applications and challenges. [PDF]
Alhmiedat T +6 more
europepmc +1 more source
An intelligent controlling in electric vehicle system with integrated DBS and BMS for sustainable solution. [PDF]
Prashant +6 more
europepmc +1 more source
Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization. [PDF]
Araújo TO, Netto ML, Francisco Justo J.
europepmc +1 more source

