Difference between revisions of "Main Page/Featured article of the week/2024"
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<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 29–February 04:</h2> | <h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: February 05–11:</h2> | ||
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Sbailò npjCompMat22 8.png|240px]]</div> | |||
'''"[[Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding|The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding]]"''' | |||
We present the Novel Materials Discovery (NOMAD) [[Artificial intelligence|Artificial Intelligence]] (AI) Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of [[materials science]] data under FAIR (findable, accessible, interoperable, and reusable) data principles. The AI Toolkit readily operates on FAIR data stored in the central server of the NOMAD Archive, the largest database of materials science data worldwide, as well as locally stored, user-owned data. The NOMAD Oasis, a local, stand-alone server can also be used to run the AI Toolkit. By using [[Jupyter Notebook]]s that run in a web-browser, the NOMAD data can be queried and accessed; [[data mining]], [[machine learning]] (ML), and other AI techniques can then be applied to analyze them ... ('''[[Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding|Full article...]]''')<br /> | |||
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|<br /><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 29–February 04:</h2> | |||
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Naphade JofClinDiagRes2023 17-2.jpg|240px]]</div> | <div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Naphade JofClinDiagRes2023 17-2.jpg|240px]]</div> | ||
'''"[[Journal:Quality control in the clinical biochemistry laboratory: A glance|Quality control in the clinical biochemistry laboratory: A glance]]"''' | '''"[[Journal:Quality control in the clinical biochemistry laboratory: A glance|Quality control in the clinical biochemistry laboratory: A glance]]"''' |
Revision as of 18:58, 13 February 2024
If you're looking for other "Article of the Week" archives: 2014 - 2015 - 2016 - 2017 - 2018 - 2019 - 2020 - 2021 - 2022 - 2023 - 2024 |
Featured article of the week archive - 2024
Welcome to the LIMSwiki 2024 archive for the Featured Article of the Week.
Featured article of the week: February 05–11:We present the Novel Materials Discovery (NOMAD) Artificial Intelligence (AI) Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of materials science data under FAIR (findable, accessible, interoperable, and reusable) data principles. The AI Toolkit readily operates on FAIR data stored in the central server of the NOMAD Archive, the largest database of materials science data worldwide, as well as locally stored, user-owned data. The NOMAD Oasis, a local, stand-alone server can also be used to run the AI Toolkit. By using Jupyter Notebooks that run in a web-browser, the NOMAD data can be queried and accessed; data mining, machine learning (ML), and other AI techniques can then be applied to analyze them ... (Full article...)
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