Results 91 to 100 of about 1,492,451 (279)
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Advanced Science, EarlyView.Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Multifrequency Bayesian compressive sensing methods for microwave imaging
, 2014 International audienceThe Bayesian retrieval of sparse scatterers under multifrequency transverse magnetic illuminations is addressed. Two innovative imaging strategies are formulated to process the spectral content of microwave scattering data according
Oliveri, Giacomo +4 more
core +1 more source
Advanced Science, EarlyView.A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie +10 more
wiley +1 more source
Advanced Science, EarlyView.TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
Advanced Science, EarlyView.An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source
Non-Convex Priors In Bayesian Compressed Sensing
, 2009 Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
S. Derin Babacan +3 more
openaire +2 more sources
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
A Novel Image Compressive Sensing Method Based on Complex Measurements
, 2011 Compressive sensing (CS) has emerged as an efficient signal compression and recovery technique, that exploits the sparsity of a signal in a transform domain to perform sampling and stable recovery.
Xiang, Wei +5 more
core +1 more source
Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation
Advanced Science, EarlyView.Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu +10 more
wiley +1 more source
Regularized Bayesian Compressed Sensing In Ultrasound Imaging
, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Nicolas Dobigeon +3 more
openaire +4 more sources