MaterialsDataFacility
52 posts

MaterialsDataFacility
@DataFacility
Data services to make it easy to publish and discover materials data. 🔬🥼💻
Katılım Mayıs 2022
161 Takip Edilen281 Takipçiler

@rsassary @digital_rsc @HieuAnhDoan @argonne ...and we have the data right here. Great work all!
doi.org/10.18126/82c7-…
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@digital_rsc Cover image for our latest computational/AI catalysis designed by @HieuAnhDoan @argonne is out now! pubs.rsc.org/en/content/art…
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Today's featured Advance article from Doan, Assary et al. demonstrates a message-passing neural network trained on a database of oxygen adsorption structures, which can quickly and accurately predict oxygen adsorption energies. Read the #openaccess paper: doi.org/10.1039/D2DD00…

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My team and I just published 10 years of @argonne battery testing data on @DataFacility . 600 Li-ion cells with many chemistries: doi.org/10.18126/fdxq-…
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@RGBLabMIT Data supporting this work are openly available here in the AzoFlip dataset. Thanks to the @RGBLabMIT for their open science work!
doi.org/10.18126/unc8-…
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Just out in ACS Central Science! We made an automated workflow for predicting the thermal half-lives of azobenzene derivatives. TL;DR isomerization involves intersystem crossing, multi-reference effects are critical, and ML gives fast and accurate results! pubs.acs.org/doi/full/10.10…
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Group’s first paper on @digital_rsc. Dataset of 20000 VASP calculations (catalyst models) is available: acdc.alcf.anl.gov/mdf/detail/doa…
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What are the most interesting open datasets you've used in materials science and chemistry? Share them here! We're always looking for more data to work with and share with others 🤓 #data #machinelearning #artificialintelligence #datascience #openscience #MaterialsDataMonth
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@BenBlaiszik We have about 80 TB of open materials data available for the community.😊 materialsdatafacility.org
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Did you know you can create a Google Scholar profile for your research group?
While GS is mostly used to track individual metrics, this process allows you to track and highlight team and project metrics.
Here's 5 steps to get to this 👇 #AcademicChatter #AcademicTwitter

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Sooo pumped for #MaterialsDataMonth! Follow @BenBlaiszik to keep up! Even if you aren’t a materials scientist, this month will have relevant info for you too. Lots of cool datasets, research, and infrastructure tools! 🤩 #openscience #bigdata #ml #ai
Ben Blaiszik@BenBlaiszik
Tomorrow we'll be kicking off a special month of content and community building as part of #MaterialsDataMonth as we ramp up to #MRS2022. During the month, we will showcase 1) just how much impact materials and chemistry data are already having.
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Manual segmentation of X-Ray CT images can take a long time and may be ambiguous. Here, we trained NNs to segment such images automatically. We hope this opens new possibilities to understanding 3D dendritic growth in materials and automating analyses.
authors.elsevier.com/a/1fy3Q3In-uvR…


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Data sharing mandates are set to become more strict. But, that doesn't need to cause you trouble. To help you get started, I made a video that shows how you can publish your data in under 1 minute with the Materials Data Facility. @DataFacility youtu.be/Y4dhhda8Kw8

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