Results 151 to 160 of about 12,571,794 (304)

Morphology‐Defined Entropy Streams for Random‐Bit Generation and Probabilistic Sampling in Memristor Arrays

Advanced Science, EarlyView.
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, Da Ye Kim, Noah Jang, Yongho Lee, Byunghun Song, June Soo Kim   +5 more
wiley   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

Markov Chain Monte Carlo Technology [PDF]

In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core  

Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links

Advanced Science, EarlyView.
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, Chumin Sun, David Waxman, Renaud Lambiotte, Jie Sun, Peng Ji   +5 more
wiley   +1 more source

ROBUST TWO�STAGE LEAST SQUARES: SOME MONTE CARLO EXPERIMENTS [PDF]

The Two�Stage Least Squares (2�SLS) is a well known econometric technique used to estimate the parameters of a multi�equation econometric model when errors across the equations are not correlated and the equation(s) concerned is (are) overï ...
Sudhanshu Kumar MISHRA
core  

Estimating latent neuronal nonlinear dynamics by sequential Monte Carlo method and sparse modeling. [PDF]

J Comput Neurosci
Motonishi N, Omori T.
europepmc   +1 more source

Monte Carlo method for assessment of a multimodal insertable biosensor. [PDF]

J Biomed Opt, 2022
Fine J, McShane MJ, Coté GL.
europepmc   +1 more source

Stretchable h‐BN/TPU Fibers for Passive‐Active Dual‐Mode Thermal Management and Wearable Haptic Interfaces

Advanced Science, EarlyView.
Optimized 30 wt.% h‐BN/TPU fibers create a thermal conductivity of 2.08 W·m−1·K−1 while retaining mechanical compliance (422% elongation at break). Woven fabrics reduce surface temperature by 5.7°C under simulated solar irradiation. Glove integration enables localized fingertip heating at 29.55°C·s−1 with a thermal relaxation time of approximately 20 s.
Yiwei Zhou, Shanshan Long, Bo Chen, Maohua Li, Linhong Li, Yue Qin, Rongjie Yang, Hanxi Chen, Cheng‐Te Lin, Yixiang Xu, Kean How Cheah, Nan Jiang, Jinhong Yu   +12 more
wiley   +1 more source

Machine-learning-enhanced image reconstruction in optical tomography using the Monte Carlo method for light transport. [PDF]

J Biomed Opt
Kangasniemi J, Mozumder M, Hauptmann A, Tarvainen T.   +3 more
europepmc   +1 more source

Structural Quantification of the Surface-Confined Metal-Organic Precursors Simulated with the Lattice Monte Carlo Method. [PDF]

Molecules, 2023
Lisiecki J, Szabelski P.
europepmc   +1 more source