Results 181 to 190 of about 9,520,135 (306)
This work presents an origami metamaterial that integrates a low‐melting‐point alloy skeleton into an elastomeric shell. It dissipates energy through the metal's plastic deformation and recovers through the solid–liquid phase transition of the alloy together with the hyperelasticity of the shell.
Yupeng Liu +5 more
wiley +1 more source
Stochastic first-order methods are standard for training large-scale machine learning models. Random behavior may cause a particular run of an algorithm to result in a highly suboptimal objective value, whereas theoretical guarantees are usually proved ...
Dvurechensky, Pavel +4 more
core +1 more source
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park +3 more
wiley +1 more source
Optimal radiotherapy dose scheduling with variable fraction sizes and breaks via sequential mixed-integer convex programming. [PDF]
Fu A, Gouw Z, Jeong J, Deasy JO.
europepmc +1 more source
Bistable Networks Enable Complex Shape Changes
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source
Review on thread profile modification methods for the planetary roller screw mechanism. [PDF]
Sun Y +6 more
europepmc +1 more source
A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations [PDF]
In this paper, piecewise linear upper and lower bounds for univariate convex functions are derived that are only based on function value information. These upper and lower bounds can be used to approximate univariate convex functions.
Siem, A.Y.D. +2 more
core
Schematic diagrams illustrating the breakthrough in the screening of AChE inhibitors from LBL, and the research process of the pharmacodynamics of the NCP are presented. ABSTRACT Current Alzheimer's drugs exhibit limited effectiveness, highlighting the necessity for multi‐target treatments.
Yuping Sa +11 more
wiley +1 more source
Gridless DOA Estimator for 1.5-Bit Sparse Massive MIMO Systems Based on Covariance Matrix Estimation. [PDF]
Peng Y, Zheng X, Cheng Z.
europepmc +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source

