Results 181 to 190 of about 27,988 (262)
Multifunctionality in Silicon Photonics Through Temperature‐Driven Inverse Design
Temperature‐conditioned inverse design embeds thermo‐optic reconfigurability directly into compact silicon photonic devices. By co‐optimizing a single geometry at 300 K (T1) and 520 K (T2), the same structure supports distinct optical functions, enabling experimentally verified switching and mode conversion without resonant architectures or additional ...
Berkay Neseli +8 more
wiley +1 more source
Superadiabatic topological pumping on photonic chips. [PDF]
Wu JL +10 more
europepmc +1 more source
A high‐speed, efficient, robust, and compact 2‐μm$\mathrm{\mu}\mathrm{m}$ waveband E/O absorption modulator based on a graphene‐silicon slot waveguide is demonstrated. This work represents a significant advancement towards the realization of high‐speed integrated E/O modulators for optical communication systems operating at the 2‐μm$\mathrm{\mu}\mathrm{
Chao Luan +3 more
wiley +1 more source
Fabrication‐Tolerant GaAs/SiN Coupling Above the Loss Threshold for Quantum Photonic Applications
Reliable low‐loss optical coupling between GaAs and SiN waveguides for heterogeneous integration of single‐photon sources is demonstrated. By developing a fabrication‐aware numerical design approach and accounting for experimentally measured fabrication variations and scattering losses, coupling efficiencies meeting the < 10% loss requirement for ...
Miloš Ljubotina +9 more
wiley +1 more source
Disorder-Assisted Adiabaticity in Correlated Many-Particle Systems. [PDF]
Liou SJ, Fotso HF.
europepmc +1 more source
Four constitutive models are evaluated for FeCoNiCr and Al0.6FeCoNiCr HEAs under wide temperature and strain‐rate conditions. The predictive capabilities and limitations of each model are then critically assessed, with particular emphasis on strain rate sensitivity, temperature dependence, and physically unrealistic responses at extreme loading ...
Yooseob Song +3 more
wiley +1 more source
Design of a green ammonia production process by machine learning. [PDF]
Takaoka S, Kaneko H.
europepmc +1 more source
Transferable Hot‐Deformation Flow‐Curve Modeling Across Steels Through Transfer Learning
We propose a transferable sequence model that moves steel hot‐deformation ML beyond the “one‐case, one‐model” paradigm. Pretrained across compositions/windows and personalized with four extreme‐condition curves, it improves accuracy and robustness in 10‐fold evaluation.
Changqing Shu +9 more
wiley +1 more source
The Threshold Photoelectron Spectrum of the Vinylcyclopentadienyl Radical, a C<sub>7</sub>H<sub>7</sub> Resonance-Stabilized Radical. [PDF]
McClish R +10 more
europepmc +1 more source

