Results 171 to 180 of about 97,372 (256)

Linear and Programmable Long‐Term Plasticity in PECVD Amorphous SiC Memristors

Advanced Electronic Materials, EarlyView.
Stoichiometry‐engineered PECVD amorphous SiC memristors exhibit highly linear and programmable long‐term synaptic plasticity with a nonlinearity as low as 0.08. By controlling the local bonding environment, stable multilevel conductance updates are achieved, enabling robust neural‐network classification on MNIST and CIFAR‐10 and highlighting amorphous ...
Qin Liu, Omesh Kapur, Bohao Ding, Fangnan Chen, Bingkai Ding, Ruomeng Huang, C. H. Kees de Groot   +6 more
wiley   +1 more source

Feature stabilization in convolutional neural networks using Proportional Integral Controller for lung nodule classification. [PDF]

Front Artif Intell
Sangeetha V, Kalaivani S.
europepmc   +1 more source

X‐Ray TID Suppresses Inhibitory Plasticity of SnO‐Based Memristors and Its Impact on Neuromorphic Computation

Advanced Electronic Materials, EarlyView.
X‐ray irradiation suppresses inhibitory plasticity in SnO‐based volatile memristors, reducing nonlinearity and variability while improving neuromorphic learning accuracy. Despite a reduced dynamic range, irradiated devices achieve more stable and linear synaptic updates, leading to enhanced CNN performance.
Aiden Graham, Zohreh Hajiabadi, Alexander H. Wang, Asep Nugroho, Om K. Prasad, Uma Sankar Rout, Christian Patzig, Irwan Purnama, Liam Godfrey, Marcello Borri, Bingkai Ding, Harold M. H. Chong, Firman M. Simanjuntak   +12 more
wiley   +1 more source

Pulse‐Engineered Synaptic Linearity and Non‐Volatile Memory in MoO3/TiO2 Bilayer Memristors for Neuromorphic Image Recognition

Advanced Electronic Materials, EarlyView.
Pulse‐protocol optimization in an Au/MoO3/TiO2/FTO bilayer memristor enables linear analog synaptic conductance modulation along with digital resistive switching for memory. Controlled filament evolution produces stable learning‐forgetting characteristics with low nonlinearity, resulting in significantly enhanced neural network inference accuracy for ...
Girish Chandrashekar, Atul Thakre, R. Thamankar   +2 more
wiley   +1 more source

Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp. [PDF]

BMC Microbiol
Duvnjak S, Dopuđ M, Šuto S, Reil I, Zdelar-Tuk M, Mikolajczak A, Špičić S.   +6 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Clarifying the critical differences between the enzymatic stromal vascular fraction and the mechanically derived stromal vascular tissue or nanofat for spinal cord injury applications. [PDF]

Stem Cell Res Ther
Nonnarath C, Serratrice N.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

PulmoX-Net: a channel-attention enhanced deep learning model for multi-class pulmonary pathology classification in chest radiography. [PDF]

Front Med (Lausanne)
Wu W, Shi F, Hu Y, Shi J, Yan Z, Yang J, Yu D.   +6 more
europepmc   +1 more source

Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis

Agribusiness, EarlyView.
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török, Gréta Maró, Zsófia Jámbor, Zalán Márk Maró, Barbara Tocco, Péter Balogh, Péter Czine   +6 more
wiley   +1 more source