Results 141 to 150 of about 16,838,211 (334)

An Integrated Deep Learning and Physics-Constrained Upscaling Workflow for Robust Permeability Prediction in Digital Rock Physics

Research on rock permeability plays a crucial role in understanding fluid flow in geological formations, which contributes significantly to addressing challenges in sustainable energy production and CO2 sequestration.
Li, Haotian, Aslam, Billal, Yan, Bicheng
core   +1 more source

Atomic‐Scale Visualization of Topotactic Resistive Switching in Epitaxial La0.5Sr0.5CoOx Neuromorphic Memristors

Advanced Functional Materials, EarlyView.
Forming‐free epitaxial Pt/La0.5Sr0.5CoOx (LSCO)/La0.5Sr0.5MnO3 (LSMO) memristors exhibit heterogeneous and partially reversible topotactic switching involving brownmillerite (BM)‐, Grenier (GN)‐like‐, and perovskite (PV)‐like configurations. Atomic‐resolution scanning transmission electron microscopy and in situ transmission electron microscopy resolve
Zi‐Qin Hong, Yen‐Jung Chen, Shih‐Chao Chang, Jui‐yuan Chen, Jan‐Chi Yang, Wen‐Wei Wu   +5 more
wiley   +1 more source

Deep Learning Wizard

, 2019
<p>This code base contains the entire website's assets of Deep Learning Wizard covering deep learning theories, concepts and Python, C++, and PyTorch code.</p> <p>This release contains stable versions for deep learning ...
Ritchie Ng, Jie Fu
core   +1 more source

Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells

Advanced Functional Materials, EarlyView.
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong, Qihang Wang, Andre E. Vellwock, Sinuhe Perea Puente, Tingting Zhu, Jia Hui Lim, Kadda Medjoubi, Sebastian Hoerl, Erika Griesshaber, Wolfgang W. Schmahl, Yannicke Dauphin, Emeline Raguin, Peter Werner, Francesco Stellacci, Michael V. Swain, Peter Fratzl, Shahrouz Amini   +16 more
wiley   +1 more source

Artificial Intelligence Enabled Future Wireless Electric Vehicles with Multi-Model Learning and Decision Making Models

Tsinghua Science and Technology
In the contemporary era, driverless vehicles are a reality due to the proliferation of distributed technologies, sensing technologies, and Machine to Machine (M2M) communications.
Gajula Ramesh, Anil Kumar Budati, Shayla Islam, Louai A. Maghrabi, Abdullah Al-Atwai   +4 more
doaj   +1 more source

Neuromorphic Devices for Extreme Environments: State‐Variable Reliability and Stabilization Strategies

Advanced Functional Materials, EarlyView.
Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park, Geon Park, Junhyung Cho, Jaechan Song, Wangmyung Choi, Jaehyun Hur, Nicola Gasparini, Hocheon Yoo   +7 more
wiley   +1 more source

A hybrid Spiking Neural Network–Transformer architecture for motor imagery and sleep apnea detection

Frontiers in Neuroscience
IntroductionMotor imagery (MI) classification and sleep apnea (SA) detection are two critical tasks in brain-computer interface (BCI) and biomedical signal analysis. Traditional deep learning models have shown promise in these domains, but often struggle
Duc Thien Pham, Maryam Khoshkhooy Titkanlou, Roman Mouček   +2 more
doaj   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)

, 2022
Deep learning is highly pervasive in today's data-intensive era. In particular, convolutional neural networks (CNNs) are being widely adopted in a variety of fields for superior accuracy.
Dang, Dharanidhar, Sahoo, Debashis, Lin, Bill   +2 more
core  

A Nonlinear Organic Low‐Frequency Sound Sensor Based on Electrochemical Coupling in a Solidified Gel Membrane

Advanced Functional Materials, EarlyView.
A novel nonlinear infrasound sensor concept based on a free‐standing ion conductive gel membrane is introduced. Acoustic signals are directly transduced into an electrical signal using an internal application mechanisms (gating). The nonlinearity might be used for neuromorphic in‐sensor computing. ABSTRACT Measuring low‐frequency or infrasound acoustic
Maarten Mittmann, Carsten Habenicht, Andreas Hofacker, Richard Kantelberg, Stefan Jacob, Karl Leo, Hans Kleemann   +6 more
wiley   +1 more source