Results 211 to 220 of about 5,528,069 (258)

A Biomimetic Solvatochromic Chip With Optimized Chemical Diversity for On‐Site Liquid Identification

Advanced Science, EarlyView.
A compact biomimetic photonic‐gustatory chip uses Hansen‐solubility‐parameter‐guided solvatochromic disks to create distinct color patterns in organic liquids. An optimized four‐disk array distinguishes solvent types, ratios, homologues, isomers, and alcoholic beverages. Coupled with smartphone imaging and deep learning, it identifies 80 liquid classes
Jintao Zhang, Hao Ouyang, Yin Cheng, Nuoye Xiong, Xunchi Ma, Xueling Li, Guangming Zhu, Liang Zhang, Jing Sun, Ranran Wang   +9 more
wiley   +1 more source

Jamming Recognition Based on Adaptive Feature-Focusing Convolutional Neural Network for Agile Cognitive Radar. [PDF]

Sensors (Basel)
Liu J, Ma J, Shi L, Lin Z, Kong Y, Chen J.   +5 more
europepmc   +1 more source

Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing

Advanced Science, EarlyView.
We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov, Elina Tcherniavskaia, Andreas Ostendorf, Anton Saetchnikov   +3 more
wiley   +1 more source

Convolutional neural network approach for accelerated traffic noise mapping. [PDF]

Sci Rep
Choi S, Park T, Lim J, Murphy E, Jeon JJ.   +4 more
europepmc   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

HIV-1 protease cleavage sites detection with a quantum convolutional neural network algorithm. [PDF]

Sci Rep
Choi J, Lee J, Jung KL, Jung JU.
europepmc   +1 more source

AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure

Advanced Science, EarlyView.
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo, Andrea Ruiz‐Ferrando, Adam H. Clark, Stephan Pollitt, Sharon Mitchell, Javier Pérez‐Ramírez, Núria López   +6 more
wiley   +1 more source

Classification of cystoid macular edema status from retinal vasculitis fluorescein angiography images using a convolutional neural network. [PDF]

Front Ophthalmol (Lausanne)
Wang C, Chakrabarty K, Anesi SD, Chang PY.   +3 more
europepmc   +1 more source

Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging

Advanced Science, EarlyView.
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung, Hongseok Kim, Seungjae Heo, Jin Tae Moon, Jangwoo Ko, Panithan Sriboriboon, Dong‐Gyu Lee, Sanghyun Jo, Hee Han, Jungho Ryu, Woo Lee, Jinseong Heo, Hyun‐Cheol Song, Yunseok Kim   +13 more
wiley   +1 more source