Results 241 to 250 of about 525,499 (288)

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Digital image quality evaluation based on multi-scale aesthetic features and graph convolutional neural networks. [PDF]

Sci Rep
Wu J, Li D.
europepmc   +1 more source

Non‐Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures

Advanced Science, EarlyView.
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh, Shi Guo, Yuhui Yang, Sholehin Juperi, Rui Yu, Xiangxin Gong, Jeremy Leong, Sung‐Gyu Lee, Qingyun Wu, Lay Kee Ang, Sang Hoon Chae   +10 more
wiley   +1 more source

Convolutional Neural Networks for Estimation of Uniaxial Tensile Test Equivalent Properties from Small Punch Test. [PDF]

Materials (Basel)
Kaliciak M, Uhl T, Nowak M.
europepmc   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser induced graphene offers a scalable route to flexible, porous gas sensor with tunable properties and self heating functionality. This summarizes the overview of the design and application landscape of LIG‐based wearable gas sensor in healthcare. ABSTRACT Direct laser irradiation of carbonaceous precursors such as polyimide and wood is a scalable ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Predictive Fermentation Control of <i>Lactiplantibacillus plantarum</i> Using Deep Learning Convolutional Neural Networks. [PDF]

Microorganisms
Wu CC, Chen JS, Lu YC, Wu JS, Huang YF, Liao CS.   +5 more
europepmc   +1 more source

Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation

Advanced Science, EarlyView.
Photoacoustic microscopy (PAM) is a powerful biomedical imaging tool renowned for its non‐invasiveness and high resolution. This review synthesizes recent technological advances and highlights their broad applications from cellular and organ‐level to whole‐animal imaging.
Tingting Wang, Jiali Chen, Liming Nie, Honghui Li   +3 more
wiley   +1 more source

Patch-Based convolutional neural networks for multiple microstructural features detection in FIB-SEM micrographs of irradiated nuclear fuel. [PDF]

Sci Rep
Uwaeze J, Tang Y, Mauseth TJ, Braverman V, Anderson MW, Wang Y, Xu F.   +6 more
europepmc   +1 more source

Analog Signal Summation for Reinforcement Learning via Simultaneous Light–Voltage Modulation in a Synaptic Device

Advanced Science, EarlyView.
To overcome limitations of conventional AI hardware, a light‐voltage dual‐modulating synaptic (LVDS) transistor using an IGZO/InAs quantum dot hybrid structure is proposed. LVDS transistor enables analog summation for Dueling Deep Q‐Networks by independently modulating memory via optical and electrical stimuli.
Dong Gue Roe, Sungjoon Cheon, Seongil Im, Sinil Choi, Meeree Kim, Subeen Kim, Youngjae Yoo, Jeong Won Kim, Hyunsu Ju, Sohee Jeong, Jeong Ho Cho   +10 more
wiley   +1 more source

Convolutional neural networks-based early Parkinson's disease classification using cycling data from a steerable indoor bicycle. [PDF]

Sci Rep
Kim Y, Kim J, Kang S, Lee Y, Moon J, Park JW, Kim BJ, Kim SJ.   +7 more
europepmc   +1 more source