Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar +7 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
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
A Generic Machine Learning Framework for Radio Frequency Fingerprinting
Fingerprinting radio frequency (RF) emitters typically involves finding unique characteristics that are featured in their received signal. These fingerprints are nuanced, but sufficiently detailed, motivating the pursuit of methods that can successfully extract them. The downstream task that requires the most meticulous RF fingerprinting (RFF) is known
Alex Hiles, Bashar I. Ahmad
openaire +2 more sources
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
LoRa Radio Frequency Fingerprinting Using a Hybrid Quantum-Classical Neural Network
Radio frequency fingerprint identification is a promising technique for device authentication that relies on the unique radio frequency fingerprint features caused by hardware impairments.
Zhang, Junqing +4 more
core +2 more sources
Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen +9 more
wiley +1 more source
Multi-periodicity dependency Transformer based on spectrum offset for radio frequency fingerprint identification [PDF]
Radio Frequency Fingerprint Identification (RFFI) has emerged as a pivotal task for reliable device authentication. Despite advancements in RFFI methods, background noise and intentional modulation features result in weak energy and subtle differences in
Jing Xiao +6 more
semanticscholar +1 more source
A Database for Radio Frequency Fingerprinting of Bluetooth Devices
This database is consisted of different datasets including Bluetooth signals collected from 27 different smartphones (6 manufacturers with various models) at different sampling rates. The peer-reviewed data descriptor for this dataset has been published in MDPI Data - an open access journal aiming at enhancing data transparency and reusability, and can
Uzundurukan, Emre +2 more
openaire +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

