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检索条件"机构=Division of Computing and Data Science"
411 条 记 录,以下是121-130 订阅
排序:
On the dual advantage of placing observations through forward sensitivity analysis
arXiv
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arXiv 2023年
作者: Ahmed, Shady E. San, Omer Lakshmivarahan, Sivaramakrishnan Lewis, John M. Advanced Computing Mathematics and Data Division Pacific Northwest National Laboratory RichlandWA99354 United States School of Mechanical & Aerospace Engineering Oklahoma State University StillwaterOK74078 United States School of Computer Science University of Oklahoma NormanOK73019 United States Desert Research Institute RenoNV89512 United States
The four-dimensional variational data assimilation methodology for assimilating noisy observations into a deterministic model has been the workhorse of forecasting centers for over three decades. While this method pro... 详细信息
来源: 评论
Controlled catalyst transfer polymerization in graphene nanoribbon synthesis
arXiv
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arXiv 2023年
作者: Pun, Sai Ho Delgado, Aidan Dadich, Christina Cronin, Adam Fischer, Felix R. Department of Chemistry University of California BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Kavli Energy NanoScience Institute The University of California Berkeley The Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Bakar Institute of Digital Materials for the Planet Division of Computing Data Science and Society University of California BerkeleyCA94720 United States
Exercising direct control over the unusual electronic structures arising from quantum confinement effects in graphene nanoribbons (GNRs) - atomically defined quasi one-dimensional (1D) strips of graphene - is intimate... 详细信息
来源: 评论
The Fundamental Limit of Jet Tagging
arXiv
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arXiv 2024年
作者: Geuskens, Joep Gite, Nishank Krämer, Michael Mikuni, Vinicius Mück, Alexander Nachman, Benjamin Reyes-González, Humberto Institute for Theoretical Particle Physics and Cosmology RWTH Aachen University Germany Department of Physics University of California BerkeleyCA94720 United States National Energy Research Scientific Computing Center Berkeley Lab BerkeleyCA94720 United States Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Berkeley Institute for Data Science University of California BerkeleyCA94720 United States
Identifying the origin of high-energy hadronic jets (‘jet tagging’) has been a critical benchmark problem for machine learning in particle physics. Jets are ubiquitous at colliders and are complex objects that serve... 详细信息
来源: 评论
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism
arXiv
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arXiv 2023年
作者: Yang, Han Wang, Qiuli Zhang, Yue An, Zhulin Chen, Liu Zhang, Xiaohong Zhou, S. Kevin School of Biomedical Engineering Division of Life Sciences and Medicine University of Science and Technology of China Anhui Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Jiangsu Suzhou215123 China The Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Department of Radiology The First Affiliated Hospital of Army Medical University Chongqing400032 China School of Big Data & Software Engineering Chongqing University Chongqing401331 China Institute of Computing Technology Beijing100190 China
Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty. Conventional methods typically select a ... 详细信息
来源: 评论
EHands: Quantum Protocol for Polynomial Computation on Real-Valued Encoded States
arXiv
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arXiv 2025年
作者: Balewski, Jan Amankwah, Mercy G. Bethel, E. Wes Perciano, Talita Van Beeumen, Roel National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Mathematics Applied Mathematics and Statistics Case Western Reserve University ClevelandOH44106 United States Computer Science Department San Francisco State University San FranciscoCA94132 United States Scientific Data Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States
The novel constructive EHands protocol defines a universal set of quantum operations for multivariable polynomial transformations on quantum processors by introducing four basic subcircuits—multiplication, addition, ... 详细信息
来源: 评论
Score-based Generative Models for Calorimeter Shower Simulation
arXiv
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arXiv 2022年
作者: Mikuni, Vinicius Nachman, Benjamin National Energy Research Scientific Computing Center Berkeley Lab BerkeleyCA94720 United States Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Berkeley Institute for Data Science University of California BerkeleyCA94720 United States
Score-based generative models are a new class of generative algorithms that have been shown to produce realistic images even in high dimensional spaces, currently surpassing other state-of-the-art models for different... 详细信息
来源: 评论
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
arXiv
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arXiv 2022年
作者: Hosseini, Ryien Simini, Filippo Clyde, Austin Ramanathan, Arvind Argonne Leadership Computing Facility Argonne National Laboratory LemontIL60439 United States Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Department of Computer Science University of Chicago ChicagoIL60657 United States
The process of screening molecules for desirable properties is a key step in several applications, ranging from drug discovery to material design. During the process of drug discovery specifically, protein-ligand dock... 详细信息
来源: 评论
Online-compatible unsupervised nonresonant anomaly detection
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Physical Review D 2022年 第5期105卷 055006-055006页
作者: Vinicius Mikuni Benjamin Nachman David Shih National Energy Research Scientific Computing Center Berkeley Lab Berkeley California 94720 USA Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Berkeley Institute for Data Science University of California Berkeley California 94720 USA NHETC Department of Physics & Astronomy Rutgers University Piscataway New Jersey 08854 USA
There is a growing need for anomaly detection methods that can broaden the search for new particles in a model-agnostic manner. Most proposals for new methods focus exclusively on signal sensitivity. However, it is no... 详细信息
来源: 评论
Generative Unfolding with Distribution Mapping
arXiv
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arXiv 2024年
作者: Butter, Anja Diefenbacher, Sascha Huetsch, Nathan Mikuni, Vinicius Nachman, Benjamin Schweitzer, Sofia Palacios Plehn, Tilman Institut für Theoretische Physik Universität Heidelberg Germany LPNHE Sorbonne Université Université Paris Cité CNRS IN2P3 Paris France Physics Division Lawrence Berkeley National Laboratory Berkeley United States National Energy Research Scientific Computing Center Berkeley Lab Berkeley94720 United States Berkeley Institute for Data Science University of California BerkeleyCA94720 United States Universität Heidelberg Germany
Machine learning enables unbinned, highly-differential cross section measurements. A recent idea uses generative models to morph a starting simulation into the unfolded data. We show how to extend two morphing techniq... 详细信息
来源: 评论
The development of a blockchain-based business model simulator with an application to civic medical data management
Digital Business
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Digital Business 2025年 第1期5卷
作者: Cunningham, James Davies, Nigel Devaney, Sarah Harding, Mike Holm, Søren Neumann, Victoria Ainsworth, John Division of Informatics Imaging & Data Sciences The University of Manchester Manchester United Kingdom NIHR Manchester Biomedical Research Centre Manchester University Hospitals NHS Foundation Trust Manchester Academic Health Science Centre Manchester United Kingdom School of Computing and Communications Lancaster University Lancaster United Kingdom Centre for Social Ethics and Policy The University of Manchester Manchester United Kingdom Centre for Medical Ethics University of Oslo Oslo Norway
Blockchain technology is reshaping business models by altering how transactions and data integrity are managed. This shift necessitates evaluating long-term profitability and operational efficiency across various bloc... 详细信息
来源: 评论