Results 191 to 200 of about 6,504,899 (285)

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Exceptional points, lasing, and coherent perfect absorption in Floquet scattering systems. [PDF]

open access: yesLight Sci Appl
Globosits D   +6 more
europepmc   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

open access: yesAdvanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe   +9 more
wiley   +1 more source

Magnesium‐Retention Assisted Synthesis of High‐Performance Zintl Thermoelectrics

open access: yesAngewandte 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   +9 more
wiley   +2 more sources

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

open access: yesAdvanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti   +8 more
wiley   +1 more source

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