Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Synthesis and evaluating gamma shielding features of YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7</sub>(Bi<sub>2</sub>O<sub>3</sub>) ceramic composite using Monte Carlo method via GEANT4 and MCNP codes. [PDF]
Soltani E, Saray AA.
europepmc +1 more source
Absorbed dose calculation for a realistic CT-derived mouse phantom irradiated with a standard Cs-137 cell irradiator using a Monte Carlo method. [PDF]
Entezam A +3 more
europepmc +1 more source
Au nanoisland morphology defines stochastic high‐resistance‐state transport in Ag/TiO2 memristor arrays, transforming nanoscale structural disorder into a tunable physical entropy resource. Morphology‐controlled field hotspots and reset‐modulated nanogaps generate statistically validated random‐bit streams, which further serve as device‐derived ...
Hyunjun Kim +5 more
wiley +1 more source
Balancing the maintenance strategies to making decisions using Monte Carlo method. [PDF]
Cheikh K, Boudi ELM, Rabi R, Mokhliss H.
europepmc +1 more source
Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li +5 more
wiley +1 more source
Two-metal-edge extended X-ray absorption fine structure analysis of oxygen octahedral rotation in SrTiO<sub>3</sub> using the reverse Monte Carlo method. [PDF]
Kamijo K, Nakajima N, Fan D, Anspoks A.
europepmc +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Corrigendum to "Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method" [Heliyon Volume 9, Issue 8, August 2023, Article e18821]. [PDF]
Owusu FK +6 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source

