Pentamode Structures Optimized by Machine Learning with Adaptive Sampling
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Engineering Materials"
DOI: 10.1002/adem.202302073
Abstract: Pentamode structures, gain increasing interest as insulation or stealth material. The enhancements in computers and clusters make it possible to investigate those structures not only in theory but also with simulations. Their applicability to mechanical… read more here.
Keywords: pentamode structures; structure; adaptive sampling; structures optimized ... See more keywords
Adaptive sampling for ecological monitoring using biased data: a stratum‐based approach
Sign Up to like & getrecommendations! Published in 2025 at "Oikos"
DOI: 10.1002/oik.11115
Abstract: Indicators of biodiversity change across large extents of geographic, temporal and taxonomic space are frequent products of various types of ecological monitoring and other data collection efforts. Unfortunately, many such indicators are based on data… read more here.
Keywords: ecological monitoring; inclusion probabilities; adaptive sampling; monitoring ... See more keywords
An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework
Sign Up to like & getrecommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2019.04.046
Abstract: Abstract Sparse polynomial chaos expansion has been widely used to tackle problems of function approximation in the field of uncertain quantification. The accuracy of PCE depends on how to construct the experimental design. Therefore, adaptive… read more here.
Keywords: chaos expansion; polynomial chaos; sparse bayesian; adaptive sampling ... See more keywords
Adaptive sampling for active learning with genetic programming
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2020.08.008
Abstract: Abstract Active learning is a machine learning paradigm allowing to decide which inputs to use for training. It is introduced to Genetic Programming (GP) essentially thanks to the dynamic data sampling, used to address some… read more here.
Keywords: active learning; adaptive sampling; genetic programming; dynamic sampling ... See more keywords
Surrogate Modeling of Fugacity Coefficients Using Adaptive Sampling
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b02758
Abstract: Complex thermodynamic models such as the perturbed chain statistical associating fluid theory (PC-SAFT) model describe the phase equilibria in a chemical process in a very precise way; however, because of their implicit and complex nature,… read more here.
Keywords: adaptive sampling; modeling fugacity; fugacity; fugacity coefficients ... See more keywords
LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01213
Abstract: Molecular dynamics (MD) simulation is widely used to study protein conformations and dynamics. However, conventional simulation suffers from being trapped in some local energy minima that are hard to escape. Thus, most of the computational… read more here.
Keywords: adaptive sampling; space; latent space; seed ... See more keywords
Extensible and Scalable Adaptive Sampling on Supercomputers.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.0c00991
Abstract: The accurate sampling of protein dynamics is an ongoing challenge despite the utilization of high-performance computer (HPC) systems. Utilizing only "brute force" molecular dynamics (MD) simulations requires an unacceptably long time to solution. Adaptive sampling… read more here.
Keywords: adaptive sampling; scalable adaptive; sampling; hpc ... See more keywords
Second-Order Orbital Optimization with Large Active Spaces Using Adaptive Sampling Configuration Interaction (ASCI) and Its Application to Molecular Geometry Optimization.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.0c01292
Abstract: Recently, selected configuration interaction (SCI) methods that enable calculations with several tens of active orbitals have been developed. With the SCI subspace embedded in the mean field, molecular orbitals with an accuracy comparable to that… read more here.
Keywords: adaptive sampling; molecular geometry; geometry optimization; geometry ... See more keywords
Multiagent Reinforcement Learning-Based Adaptive Sampling for Conformational Dynamics of Proteins.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c00683
Abstract: Machine learning is increasingly applied to improve the efficiency and accuracy of molecular dynamics (MD) simulations. Although the growth of distributed computer clusters has allowed researchers to obtain higher amounts of data, unbiased MD simulations… read more here.
Keywords: adaptive sampling; reinforcement learning; based adaptive; learning based ... See more keywords
Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-024-83666-z
Abstract: A novel type of concrete-encased steel (CES) composite column implementing Engineered Cementitious Composites (ECC) confinement (ECC-CES) has recently been introduced, offering significantly enhanced failure behavior, ductility, and toughness when compared to conventional CES columns. This… read more here.
Keywords: ces columns; ecc; machine learning; adaptive sampling ... See more keywords
Optimal design of hollow conductor for high‐speed synchronous motor exploiting adaptive‐sampling radial basis function algorithm
Sign Up to like & getrecommendations! Published in 2024 at "IET Electric Power Applications"
DOI: 10.1049/elp2.12509
Abstract: As aircraft electrification advances, permanent magnet synchronous motors (PMSMs) require higher power density and efficiency, but optimisation is hindered by high computational costs and resource consumption. To address this, the paper proposes a multi‐objective optimisation… read more here.
Keywords: radial basis; function; speed; adaptive sampling ... See more keywords