Results 131 to 140 of about 725,384 (331)
A Larval “Recruitment Kernel” to Predict Hatching Locations and Quantify Recruitment Patterns
Water Resources ResearchLarval recruitment, a critical component of population connectivity, has been under investigated compared to larval dispersal. We developed a backward‐in‐time Lagrangian particle tracking model to predict larval hatching locations and proposed a larval ...
Wei Shi +7 more
doaj +1 more source
A Linear-Time Kernel Goodness-of-Fit Test
, 2017 We propose a novel adaptive test of goodness-of-fit, with computational cost linear in the number of samples. We learn the test features that best indicate the differences between observed samples and a reference model, by minimizing the false negative ...
Fukumizu, Kenji +4 more
core
Navigating Ternary Doping in Li‐ion Cathodes With Closed‐Loop Multi‐Objective Bayesian Optimization
Advanced Materials, EarlyView.The search for advanced battery materials is pushing us into highly complex composition spaces. Here, a space with about 14 million unique combinations is efficiently explored using high‐throughput experimentation guided by Bayesian optimization with a deep kernel trained on both the Materials Project database and our data.
Nooshin Zeinali Galabi +6 more
wiley +1 more source
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
Advanced Materials, EarlyView.In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
Prediction of fishbone linear instability in tokamaks with machine learning methods
Nuclear FusionA machine learning based surrogate model for fishbone linear instability in tokamaks is constructed. Hybrid simulations with the kinetic-magnetohydrodynamic (MHD) code M3D-K is used to generate the database of fishbone linear instability, through ...
Z.Y. Liu +6 more
doaj +1 more source
Construction of New Ostrowski’s Type Inequalities By Using Multistep Linear Kernel
, 2023 Yasır Qayyum +3 more
openalex +2 more sources
Superionic Amorphous Li2ZrCl6 and Li2HfCl6
Advanced Materials, EarlyView.Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley +1 more source
JITeCS (Journal of Information Technology and Computer Science)This study was conducted to predict tidal fluctuations in the coastal area of Gisik Cemandi Village, Sidoarjo, using the Support Vector Regression (SVR) method.
Chandra Dewi Sukmawati +2 more
doaj +1 more source
Advanced Materials Interfaces, EarlyView.Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung +4 more
wiley +1 more source
Loading Mode Dependence of Twin‐Twin Boundary Formation in a Textured Magnesium Alloy
Advanced Materials Interfaces, EarlyView.The structures of twin‐twin boundaries formed by interactions between twin variants sharing the same or different zone axes in a deformed magnesium alloy are demonstrated. Lattice distortion around complicated interfaces promotes grain refinement in the subsequent thermomechanical process, enhancing the mechanical performance of magnesium alloys ...
Yuzhi Zhu +7 more
wiley +1 more source