Results 121 to 130 of about 175,748 (328)

Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications

Advanced Materials Technologies, EarlyView.
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung, Sindhu Priya Giridhar, Irfan H. Abidi, Taimur Ahmed, Akram AI‐Hourani, Sumeet Walia   +5 more
wiley   +1 more source

Estimation for some Stochastic Partial Differential Equations Based on Discrete Observations [PDF]

, 2000
Б. Л. С. Пракаса Рао
openalex   +1 more source

Low‐Noise, Unbiased Ferromagnetic‐Resonance‐Driven Thin‐Film Integrated Giant Magnetoimpedance Sensors

Advanced Materials Technologies, EarlyView.
Utilizing a novel (Ni81Fe19/Ti)4/Cu/(Ni81Fe19/Ti)4 thin‐film multilayer with low coercive field, low damping and a superior GMI ratio, a compact, low‐noise unbiased FMR‐driven integrated GMI sensor with a superior magnetic noise performance of ≈100 pT/√Hz is first demonstrated, owing to reduced phase noise from well‐defined aligned magnetic domains and
Bin Luo, Xianfeng Liang, Huaihao Chen, Cai Müller, Paul Raschdorf, Phillip Durdaut, Michael Höft, Jeffrey McCord, Nian‐Xiang Sun   +8 more
wiley   +1 more source

Statistical Inference for Stochastic Partial Differential Equations [PDF]

, 2001
Б. Л. С. Пракаса Рао
openalex   +1 more source

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

Stochastic control with state constraints via the Fokker–Planck equation. Application to renewable energy plants with batteries

Comptes Rendus. Mécanique
Although renewable energies are beneficial to reduce carbon emissions, its intermittent characteristics may result in power-supply issues in distribution grid. Battery energy storage system is generally regarded as an effective tool to deal with them. On
Bermúdez, Alfredo, Padín, Iago
doaj   +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

A Primer on Stochastic Partial Differential Equations [PDF]

, 2008
These notes form a brief introductory tutorial to elements of Gaussian noise analysis and basic stochastic partial differential equations (SPDEs) in general, and the stochastic heat equation, in particular. The chief aim here is to get to the heart of the matter quickly. We achieve this by studying a few concrete equations only.
openaire   +2 more sources

Review of Coherent Anti‐Stokes Raman Scattering Nonresonant Background Removal and Phase Retrieval Approaches: From Experimental Methods to Deep Learning Algorithms

Advanced Photonics Research, EarlyView.
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley   +1 more source

Support Theorem for the Solution of a White-Noise-Driven Parabolic Stochastic Partial Differential Equation with Temporal Poissonian Jumps [PDF]

, 2001
Nicolas Fournier
openalex   +1 more source