Results 161 to 170 of about 1,835,343 (243)

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Fully tunable on-chip meta-generator for multidimensional Poincaré sphere mapping. [PDF]

Light Sci Appl
Zheng S, Luan J, Wu T, Yi L, Wan Z, Tian Q, Meng Y, Shen Y, Wang K, Zong L, Shen L, Liu D, Tang M, Wang J, Zhang M.   +14 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Optical singularity protractor for rotating metrology with neuromorphic sensing. [PDF]

Light Sci Appl
Weng Z, Zhao Y, Qing Z, Ren ZC, Yan W, Wang XL, Ding J, Wang HT.   +7 more
europepmc   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

Plasmonic Dirac-vortex lasers via three-dimensional photonic mass vortices engineering. [PDF]

Nat Commun
Zhong M, Bi X, Song M, Mou N, Zhang D, Zhuo X, Hu J, Xie B, Ao X, Guan J.   +9 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Roadmap on singular optics and its applications. [PDF]

Appl Phys B
Balasubramaniam GM, Allam SR, Anand V, Ansari MH, Arockiaraj FG, Arnon S, Badavath PS, Baliyan M, Bouchal P, Bouchal Z, Choudhary S, Dorrah AH, Duan Y, Everts K, Forbes A, Foreman MR, Gailevičius D, Gautam A, Gbur G, Gopinath S, Joshi N, Juodkazis S, Korotkova O, Kukli K, Kupferman J, Kumar P, Kumar R, Kumar V, Manavalan G, Mehra A, Nishchal NK, Omatsu T, Peters C, Reddy ANK, Reddy SG, Rodríguez-Fajardo V, Rosales-Guzmán C, Rosen J, Sarita, Shikder A, Singh RK, Su X, Tamm A, Velagala G, Viewegh P, Vilardell EP, Willner AE, Xavier API, Yadav A, Zhou H.   +49 more
europepmc   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

<i>NuMagSANS</i>: a GPU-accelerated open-source software package for the generic computation of nuclear and magnetic small-angle neutron scattering observables of complex systems. [PDF]

J Appl Crystallogr
Adams MP, Michels A.
europepmc   +1 more source