Results 121 to 130 of about 16,490 (305)
The monotonicity method for the inverse crack scattering problem [PDF]
, 2020 Tomohiro Daimon +2 more
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Uniqueness Results for Some Inverse Electromagnetic Scattering Problems with Phaseless Far-Field Data [PDF]
, 2023 Xianghe Zhu, Jun Guo, Haibing Wang
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Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Special Issue: Scattering and Inverse Scattering Problems [PDF]
Applicable Analysis, 2016 Armin Lechleiter, Jiguang Sun
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Multiresolution subspace-based optimization method for three-dimensional inverse scattering problems [PDF]
, 2013 M. Bertoluzza
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One-dimensional inverse scattering and spectral problems [PDF]
, 2003 А. Г. Рамм
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Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Convexification numerical algorithm for a 2D inverse scattering problem\n with backscatter data [PDF]
, 2020 Trung Truong +2 more
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source