Results 121 to 130 of about 1,429,068 (340)

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Transformative 4D Printed SMPs into Soft Electronics and Adaptive Structures: Innovations and Practical Insights

Advanced Materials Technologies, EarlyView.
This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid, Adam Otabil, Omar Samir Mamoun, Khalid Askar, Mahdi Bodaghi   +4 more
wiley   +1 more source

Advances in Convolutional Neural Networks

, 2020
Deep Learning, also known as deep representation learning, has dramatically improved the performances on a variety of learning tasks and achieved tremendous successes in the past few years. Specifically, artificial neural networks are mainly studied, which mainly include Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs) and Recurrent ...
Hui Zheng, Yanfeng Shu, Jing He, Wen Xu
openaire   +3 more sources

Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications

Advanced Materials Technologies, EarlyView.
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin, Houxin Fan, Zhenchao Liu, Paolo Donati, Youssef Amin, Yap Wing Fen, Junbo Liang, Pier Paolo Pompa, Sailing He   +8 more
wiley   +1 more source

Forest fire image recognition based on convolutional neural network

Journal of Algorithms & Computational Technology, 2019
In order to detect fire automatically, a forest fire image recognition method based on convolutional neural networks is proposed in this paper. There are two main types of fire recognition algorithms.
Yuanbin Wang, Langfei Dang, Jieying Ren
doaj   +1 more source

Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials

Advanced Materials Technologies, EarlyView.
This review highlights emerging fabrication techniques of 2D material‐based neuromorphic devices, emphasizing proximity vapor transfer for bioinspired optoelectronic applications. Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic ...
Shubham Umeshkumar Gupta, Malkeshkumar Patel, Naveen Kumar, László Pohl, Min‐Joon Park, Sung‐Min Youn, Chaewhan Jeong, Joondong Kim   +7 more
wiley   +1 more source

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source

High Contrast and High Efficiency Optical Weighting for Integrated Photonic Computing

Advanced Optical Materials, EarlyView.
Herein, a combined pulse optical weighting scheme is proposed for photonic synapses. Employing a 4 μm$\umu{\rm m}$ long non‐volatile phase‐change material covered on a straight waveguide, a transmission contrast of 31.2 dB is achieved. By exploiting the non‐Arrhenius behavior of the material, the crystallization energy is reduced to 107 pJ, with ...
Hengyu Zhang, Hui Xu, Zhenyuan Sun, Bing Song, Qingjiang Li   +4 more
wiley   +1 more source

Convolutional Neural Networks for Distant Speech Recognition [PDF]

, 2014
Paweł Świętojański, Arnab Ghoshal, Steve Renals   +2 more
openalex   +1 more source

RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal

Advanced Optical Materials, EarlyView.
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg, Nicoleta Siminea, Andrei Păun, Adrian Lita, Mioara Larion, Ion Petre   +5 more
wiley   +1 more source