Results 211 to 220 of about 2,227,132 (290)

Imaging of nanoscale polar textures in quantum paraelectric SrTiO₃. [PDF]

Nature
Zhang Y, Sung SH, Agarwal N, Gates M, Li C, Yu P, Hovden R, El Baggari I.   +7 more
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Modeling wave scattering in impedance-lined duct networks with expansion chambers. [PDF]

PLoS One
Alrashdi A, Alkuhayli N, Safdar M.
europepmc   +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

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Novel stable Janus HfNXH (X = S, Se, Te) monolayers: insights into piezoelectric, electronic, and transport behaviors. [PDF]

Nanoscale Adv
Kartamyshev AI, Vu TV, Lavrentyev AA, Truong PT, Phuc HV, Bui KM.   +5 more
europepmc   +1 more source

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra   +5 more
wiley   +1 more source

Magnesium‐Retention Assisted Synthesis of High‐Performance Zintl Thermoelectrics

Angewandte Chemie, EarlyView.
Mg volatilization and chemical instability during high‐temperature synthesis hinder the scalable fabrication of Mg‐based thermoelectrics. Here, a magnesium‐retention assisted synthesis (MRAS) strategy stabilizes Mg using a sacrificial Mg reservoir and an inert‐gas‐regulated melting environment.
Boxuan Hu, Xiao‐Lei Shi, Tianyi Cao, Nanhai Li, Chao Zhang, Sen Wang, Siqi Liu, Meng Li, Dmitri Golberg, Zhi‐Gang Chen   +9 more
wiley   +2 more sources

Orthogonal Band Planning and Synergistic Interference Suppression for Full-Duplex Acoustic Telemetry in Coiled Tubing of Deep Horizontal Wells. [PDF]

Sensors (Basel)
Geng H, Xie Y, Wu J, Wang Z, Han H, Yang D.   +5 more
europepmc   +1 more source

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source