Results 61 to 70 of about 1,013,754 (226)
ReLink: Reliable Deep Learning for Microscopic Motion Tracking
Advanced Science, EarlyView.ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang +7 more
wiley +1 more source
SCATTER PHY: An Open Source Physical Layer for the DARPA Spectrum Collaboration Challenge [PDF]
Electronics, 2019 DARPA, the Defense Advanced Research Projects Agency from the United States, has started the Spectrum Collaboration Challenge with the aim to encourage research and development of coexistence and collaboration techniques of heterogeneous networks in the same wireless spectrum bands.
Felipe Augusto Pereira de Figueiredo +6 more
openaire +4 more sources
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
PC1Dmod 6.2 – Improved Simulation of c-Si Devices with Updates on Device Physics and User Interface☆
, 2016 In this paper we present a new update to PC1Dmod, which extends the original PC1D program by implementing Fermi-Dirac statistics and a range of state-of-the-art models in order to improve the accuracy of c-Si device simulation. In PC1Dmod 6.2 the list of
H. Haug, J. Greulich
semanticscholar +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Conceptual design of a 15-TW pulsed-power accelerator for high-energy-density–physics experiments
, 2017 We have developed a conceptual design of a 15-TW pulsed-power accelerator based on the linear-transformer-driver (LTD) architecture described by Stygar [W. A. Stygar et al., Phys. Rev. ST Accel. Beams 18, 110401 (2015)].
R. Spielman +8 more
semanticscholar +1 more source
Medical Physics (Lancaster), 2020 The labor force of Medical Physics is one of the most gender diverse in the field of Physics, as it has attained the proportional achievement of ~30% women worldwide (Tsapaki et al. Phys Medica. 2018;55:33–39). While great strides have been made toward a
Maxine van Zyl +3 more
semanticscholar +1 more source
Association Between Genetic Ancestry and Multiple Sclerosis Severity
Annals of Neurology, EarlyView.Objective The objective of this study was to determine whether genetic ancestry is associated with differences in the clinical course of multiple sclerosis (MS). Methods Participants with MS living in the United Kingdom >18 years old were recruited from 2021 to 2025 and genotyped from saliva using a commercial array. Genetic ancestry was inferred using
Benjamin M. Jacobs +32 more
wiley +1 more source
From Text to Value: Measuring and Pricing Firm Climate Risk Exposure
Business Strategy and the Environment, EarlyView.ABSTRACT We examine how the prominence and tone of climate risk disclosures affect firm value and strategic climate positioning for large European nonfinancial companies. We developed a firm‐level climate risk exposure (CRE) index that assesses climate risks within corporate narratives across four EU categories: transition risk, physical risk ...
Stefano Dell'Atti +2 more
wiley +1 more source