Quantifying Randomness in Stochastic Bit Sequences. [PDF]
Lange C +4 more
europepmc +1 more source
Fluorescent BODIPY‐conjugated thiosemicarbazone ligands and their Ga(III), In(III), and Fe(III) complexes, inspired by Triapine, are developed as theranostic agents. Multiphoton FLIM and confocal microscopy in cancer cells and zebrafish reveal real‐time uptake, mitochondrial localisation, and whilst spectroscopic assays indicated preserved complex ...
Megan J. Green +15 more
wiley +1 more source
An efficient lattice-based identity-based proxy Re-encryption scheme with direct revocation for cloud storage. [PDF]
Li J, Jiang M, Guo Y.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Novel Support Routing Algorithm for Quantum Satellite Networks with Finite Quantum Memory. [PDF]
Mihály A, Bacsárdi L.
europepmc +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
Parameterized quantum random number generators for superconducting quantum hardware: novel architectures and NIST SP 800-22 evaluation under IBM noisy simulators. [PDF]
Salehi R, Malik AW, Novotny MA, Khan SU.
europepmc +1 more source
Lightweight Anonymous Group Authentication and Quantum-Cloud Key Distribution Based on PUF for Classical Network Environments. [PDF]
Zhang H, Chen Y, Chen S, Zhao Z, Zhu D.
europepmc +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Sustainability-Focused Crypto Protocols Design Methodology for Sensors and IoT with the Deployment of LLMs. [PDF]
Trček D.
europepmc +1 more source

