Advanced mirror shapes for mode enhancement in plano-concave cavities. [PDF]
Hughes WJ, Horak P.
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
FEM-Based Estimation-Correction with Minimal Indentation Set for Internal Cavity Classification and Geometry Estimation in Deformable Objects. [PDF]
Morant T +6 more
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This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Wafer-Scale Deterministic Fabrication of Axis-Ratio-Engineered Silicon Nanoparticles for On-Resonance Electric-Magnetic Dipole Interference. [PDF]
Kim T, Lee J.
europepmc +1 more source
Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk +6 more
wiley +1 more source
Combining gait analysis and finite element modeling to optimize offloading insoles for calcaneal ulcers. [PDF]
Karatoprak AP, Aydin L.
europepmc +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Influence of ocular biometry on peripheral retinal visualization: a comparative study of Clarus and Optos widefield imaging systems. [PDF]
Spartalis C, Fisus A, Ruiss M, Findl O.
europepmc +1 more source

