Results 131 to 140 of about 16,490 (305)
Effective Parameter Dimension via Bayesian Model Selection in the Inverse Acoustic Scattering Problem [PDF]
, 2014 Abel Palafox González +2 more
openalex +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
Advanced Intelligent Discovery, EarlyView.A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Advanced Intelligent Discovery, EarlyView.Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
An iterative method for inverse medium scattering problems based on factorization of the far field operator [PDF]
, 2005 Thorsten Hohage
openalex +1 more source
Inverse scattering problems and their applications in various field of technology
, 2023 Dmitry O. Batrakov
openalex +2 more sources
Advanced Intelligent Systems, EarlyView.Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
Angewandte Chemie, EarlyView.This minireview highlights recent advances in catalyst development and mechanistic strategies that enable photochemical and photocatalytic reactivity under 700–1000 nm NIR light, emphasizing how long‐wavelength excitation expands opportunities in both synthetic chemistry and biology.
Santosh K. Pagire +3 more
wiley +2 more sources
Научный вестник МГТУ ГА, 2016 A problem of electromagnetic wave backscattering on a chosen 3D object is solved. A differential equation which is linked change of polarization coefficient of reflected wave with variation of matrix elements of object scattering is obtained.
A. I. Kozlov, V. Yu. Maslov
doaj
Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation
Advanced Intelligent Systems, EarlyView.Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi +11 more
wiley +1 more source