Results 81 to 90 of about 3,152 (208)
Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics
The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet +8 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Radio-Frequency Fingerprint-Tag-Based Device Authentication for Massive Random Access
IoT devices possess a radio-frequency fingerprint (RFF) due to inherent variations in manufacturing, making it device-specific and difficult to alter. This unique RFF, derived from RF signals, is often employed for physical layer authentication (PLA) by ...
Yoshihiro Kitagawa +6 more
doaj +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
The open nature of the wireless channel makes the drone communication vulnerable to adverse spoofing attacks, and the radio frequency fingerprint (RFF) identification is promising in effectively safeguarding the access security for drones.
Dongming Li +3 more
doaj +1 more source
Channel state information based efficient database construction for indoor localisation
The popularisation of fingerprinting localisation technology has been hindered because of two major hurdles: (i) the accuracy bottleneck caused by unreliable location fingerprints and (ii) the huge effort required to construct a fingerprints database (or
Xiyan Tian, Chao Wang, Liufeng Du
doaj +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
Trace Ru‐Doped PtCuRu@PtRu Core‐Shell Electrocatalyst for CO‐Resilient Methanol Oxidation
We engineered a trace Ru‐doped PtCuRu@PtRu core‐shell nanostructure. This design exploits lattice mismatch‐induced compressive strain between the PtCuRu ternary core and trace Ru‐doped Pt‐rich shell, systematically downshifting the Pt d‐band center to weaken *CO adsorption energetics.
Tianrui Xue +7 more
wiley +1 more source
Multi‐Axis Stretchable Zippers for Personalized Wound Healing
Multi‐axis stretchable zippers can adapt to complex wound morphologies and enable personalized wound treatment through programmable contraction. This morphological matching strategy helps accelerate wound closure, improve blood perfusion, promote epithelial regeneration, and enhance collagen remodeling, pioneering new directions for personalized and ...
Siyuan Cai +16 more
wiley +1 more source
Radio Frequency Fingerprint Clustering Method in Cross-Receiver Scenarios
Radio frequency (RF) fingerprint clustering is a core technology for the identification of wireless communication devices. However, the joint clustering of multi-domain signals collected across different receivers has not been effectively explored.
LIU Xuewu, LUO Zhenxing, SHANG Junna
doaj

