On-Chip Microwave Sensing of Nonequilibrium Quasiparticles in α-Tantalum Superconducting Circuits on Silicon for Scalable Quantum Technologies. [PDF]
Poorgholam-Khanjari S +5 more
europepmc +1 more source
Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi +3 more
wiley +1 more source
Field- and Angle-Dependent AC Susceptibility in Multigrain La0.66Sr0.34MnO3 Thin Films on YSZ(001) Substrates. [PDF]
Grigaliūnaitė-Vonsevičienė G +1 more
europepmc +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
Systematic evaluation and platform construction of kinetics modeling for herbal extraction in phytomedicine. [PDF]
Xiao P, Yu Z, Chen T, Yu L, He Y, Jin W.
europepmc +1 more source
Device Integration Technology for Practical Flexible Electronics Systems
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
Heating Effect on the Liquid-Crystalline Octakis(hexylthio)zinc(II) Phthalocyanine Thin Film Sensor for the Detection of Chlorinated Hydrocarbon Vapors and Interaction Mechanism Analysis Using Density Functional Theory. [PDF]
Özer Z +5 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding +7 more
wiley +1 more source

