Results 151 to 160 of about 561,284 (332)

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

Noncommutative stochastic processes with independent and stationary increments satisfy quantum stochastic differential equations [PDF]

, 1990
Michael Schürmann
openalex   +1 more source

Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices

Advanced Materials Technologies, EarlyView.
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim, Joon‐Kyu Han, Janguk Han, Soo Hyung Lee, Dong Hoon Shin, Sunwoo Cheong, Sungho Kim, Hanyong Jeong, Yoon Ho Jang, Cheol Seong Hwang   +9 more
wiley   +1 more source

Stochastic Differential Equations with Boundary Conditions [PDF]

, 1991
David Nualart, Étienne Pardoux
openalex   +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

Stability of strong solutions of stochastic differential equations

, 1989
Leszek Słomiński
openalex   +1 more source

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

Asymptotic expansions as control variates for deep solvers to fully-coupled forward-backward stochastic differential equations. [PDF]

PLoS One
Naito M, Saito T, Takahashi A, Takehara K.   +3 more
europepmc   +1 more source

Stochastic calculus of variations for stochastic partial differential equations

, 1988
Daniel Ocone
openalex   +1 more source

On solutions of stochastic differential equations with drift [PDF]

, 1990
Marek Rutkowski
openalex   +1 more source