Results 91 to 100 of about 1,412,360 (277)

Markov chain Monte Carlo methods for state-space models with point process observations [PDF]

, 2012
This letter considers how a number of modern Markov chain Monte Carlo (MCMC) methods can be applied for parameter estimation and inference in state-space models with point process observations.
Niranjan, Mahesan, Girolami, Mark, Yuan, Ke   +2 more
core   +1 more source

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source

Nested Sequential Monte Carlo Methods

, 2015
We propose nested sequential Monte Carlo (NSMC), a methodology to sample from sequences of probability distributions, even where the random variables are high-dimensional. NSMC generalises the SMC framework by requiring only approximate, properly weighted, samples from the SMC proposal distribution, while still resulting in a correct SMC algorithm ...
Andersson Naesseth, Christian, Lindsten, Fredrik, Schön, Thomas   +2 more
openaire   +4 more sources

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Hyunji Cha, Jimin Han, Ji‐Su Lim, Dae Hyeon Kwon, Won‐Jin Kwak, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +11 more
wiley   +1 more source

Energy-Adaptive SGHSMC: A Particle-Efficient Nonlinear Filter for High-Maneuver Target Tracking

Mathematics
Tracking targets with nonlinear motion patterns remains a significant challenge in state estimation. We propose an energy-adaptive stochastic gradient Hamiltonian sequential Monte Carlo (SGHSMC) filter that combines adaptive energy dynamics with ...
Chang Ho Kang, Sun Young Kim
doaj   +1 more source

Asynchronous Anytime Sequential Monte Carlo

, 2014
We introduce a new sequential Monte Carlo algorithm we call the particle cascade. The particle cascade is an asynchronous, anytime alternative to traditional particle filtering algorithms. It uses no barrier synchronizations which leads to improved particle throughput and memory efficiency.
Brooks Paige, Frank D. Wood, Arnaud Doucet, Yee Whye Teh   +3 more
openaire   +3 more sources

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Replica Conditional Sequential Monte Carlo

, 2019
To appear in Proceedings of ICML ...
Shestopaloff, Alexander, Doucet, Arnaud
openaire   +4 more sources

Hopping‐Mediated Zero‐Bias Photocharge Retention in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Liquid–liquid interface assembly enables the fabrication of solution‐processed MoS2 and WSe2 centimeter‐scale, nanometer‐thick type‐II heterostructures on paper. Interfacial charge separation and hopping‐limited recombination produce rectification and persistent photocharge retention at zero bias.
Aniello Pelella, Andrea Sessa, Yi‐Chen Tsai, Xuzhao Liu, Abdul Mannan, George Greaves, Yahya Saboon, Ben Spencer, Antonio Di Bartolomeo, Cinzia Casiraghi, Jessica Boland, Alessandro Grillo   +11 more
wiley   +1 more source

SMCTC: Sequential Monte Carlo in C++ [PDF]

Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core