Results 251 to 260 of about 73,378 (298)

Unveiling patterns in clinical data: exploring the role of large language models and clustering algorithms. [PDF]

Front Artif Intell
Ali AS, Gandhi S, Jafri SH, Ali MM, Raza SY, Samian S, Mehaffey J.   +6 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Magnetic star-planet interaction in the young exoplanet system DS Tucanae Ab

Santos Ld, Owen J, Duvvuri G, Loyd ROP, Vidotto A, Presa A, Bourrier V, King G, Airapetian V, Ehrenreich D, France K, Lendl M, Lothringer J, Nielsen L.   +13 more
europepmc   +1 more source

Preferable single-atom catalysts enabled by natural language processing for high energy density Na-S batteries. [PDF]

Nat Commun
Bai R, Yao Y, Lin Q, Wu L, Li Z, Wang H, Ma M, Mu D, Hu L, Yang H, Li W, Zhu S, Wu X, Rui X, Yu Y.   +14 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Multi-messenger gravitational lensing. [PDF]

Philos Trans A Math Phys Eng Sci
Smith GP, Baker T, Birrer S, Collins CE, Ezquiaga JM, Goyal S, Hannuksela OA, Hemanta P, Hendry MA, Janquart J, Keitel D, Levan AJ, Lo RKL, More A, Nicholl M, Pastor-Marazuela I, Ponte Pérez AI, Ubach H, Uronen LE, Wright M, Zumalacarregui M, Bianco F, Çalişkan M, Chan JCL, Colangeli E, Gompertz BP, Haines CP, Hayes EE, Hu B, Lamb GP, Liu A, Mandhai S, Narola H, Nguyen QL, Poon JSC, Ryczanowski D, Seo E, Shajib AJ, Shan X, Tanvir N, Vujeva L.   +40 more
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Revealing Cycling-Induced Evolution of Intact Sodium Metal Battery Interfaces Using Cryo-Focused Ion Beam Cross-Sectioning and Electron Microscopy. [PDF]

Small
Matthews KC, Vaidyula RR, Mullins CB, Warner JH.   +3 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Accurate SEM‑EDS Quantification, Automation, and Machine Learning Enable High‑Throughput Compositional Characterization of Powders

Giunto A, Fei Y, Nevatia P, Rendy B, Szymanski N, Ceder G.   +5 more
europepmc   +1 more source