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Data mining [PDF]

, 1998
This is the final report of a one-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The objective of this project was to develop and implement data mining technology suited to the analysis of large collections of unstructured data.
Lee, Kenneth, Kargupta, Hillol, Stafford, Brian G., Buescher, Kevin L., Ravindran, Binoy   +4 more
openaire   +2 more sources

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

ISPRS International Journal of Geo-Information, 2017
Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment.
Liyu Tang, Dan Yin, Shuwei Chen, Chongcheng Chen, Hongyu Huang, Ding Lin   +5 more
doaj   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

DATA MINING

, 2020
Most of the transactions have been computerized in day to day life, which in turn produces lot of digital data. For example point-of-sale, internet shopping & browsing, credit cards, information on credit cards, purchase patterns, payment history, sites visited etc.
Bernard Liengme, Keith Hekman
openaire   +2 more sources

ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data

EMBO Reports, 2018
We have fully integrated public chromatin chromatin immunoprecipitation sequencing (ChIP‐seq) and DNase‐seq data (n > 70,000) derived from six representative model organisms (human, mouse, rat, fruit fly, nematode, and budding yeast), and have devised a ...
Shinya Oki, Tazro Ohta, G. Shioi, H. Hatanaka, O. Ogasawara, Y. Okuda, H. Kawaji, Ryo Nakaki, J. Sese, C. Meno   +9 more
semanticscholar   +1 more source

Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution

Advanced Functional Materials, EarlyView.
To overcome the reliance on noble metals for the chlorine evolution reaction (CER), we designed a non‐precious single‐atom catalyst (SAC), NiN3O–O. It achieves a low overpotential of 75 mV, 95.8% Cl2 selectivity, and outperforms commercial dimensionally stable anodes (DSAs).
Kai Ma, Longfei Yang, Xiaojin Yang, Chang Zhang, Di Zhang, Linda Zhang, Li Wei, Chenliang Ye, Hao Li, Weijie Yang   +9 more
wiley   +1 more source

Accuracy of bilirubin on the Siemens RAPIDPoint 500 blood gas analyser: A data mining study [PDF]

, 2022
Shohini Mukerji, Himanshu Popat, Jason Chung   +2 more
openalex   +1 more source