create account

How Gnome AI hunts for miracle materials by hiveborgminer

View this thread on: hive.blogpeakd.comecency.com
· @hiveborgminer ·
$1.19
How Gnome AI hunts for miracle materials
![](https://images.ecency.com/DQmeNc5tVGSs3msy1gJbSgsBWCqESScRC1YzuR9hj8YN85i/gnome.jpg)



GNoME (Graph Networks for Materials Exploration ) is AI model developed by Google's DeepMind team and it's task is to predict inorganic crystal structures ...

>which are repeating arrangements of atoms that provide materials with particular properties – for example, the six-fold symmetry of a snowflake is a result of the crystal structure of ice.

.
There are 48,000 possible inorganic crystals so far and GNoME has predicted over 2 Millions new ones. Several hundreds of these predictions has been already made in the lab of University of California, Berkeley, led by Dr. Yan Zeng. 

So why this is important? 

It will significantly speed up the process of discovery of new materials hence help build new materials science. This can lead to improve new technologies like better batteries, solar panels or never before seen alloys. 

Next generation materials with enhanced capabilities and applications will pave the way for future technologies and innovations. Also we can't forget about economic and environmental performance of new materials. 

>Nanomaterials, nanoparticles, biomaterials, graphene, carbon nanotubes, 2D materials, metamaterials, artificial spider silk, perovskites, etc., are a few among the many wonder materials touted for their innovative properties and potential for advanced applications in the future. 

.
Gnome is graph neural network, type of AI that can learn relations between objects. It is trained on existing database of known inorganic crystals. So far its predictions have been tested at 70% accuracy.  


[image source](https://pixabay.com/photos/crystal-rock-mineral-hard-geology-2723145/) edited in Canva

resources:

1. [New Scientist](https://www.newscientist.com/article/2404929-crystal-hunting-deepmind-ai-could-help-discover-new-wonder-materials/)

2. [Yan Zeng team](https://www.yan-zeng.com/team)

3. [Future of technology](https://www.labmanager.com/mapping-the-future-of-technology-with-next-generation-materials-30253#:~:text=Nanomaterials%2C%20nanoparticles%2C%20biomaterials%2C%20graphene,advanced%20applications%20in%20the%20future.)
👍  , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
properties (23)
authorhiveborgminer
permlinkhow-gnome-ai-hunts-for
categoryhive-196387
json_metadata"{"image":["https://images.ecency.com/DQmeNc5tVGSs3msy1gJbSgsBWCqESScRC1YzuR9hj8YN85i/gnome.jpg"],"tags":["hive-196387","curangel","stemgeeks","proofofbrain","neoxian","science","deepmind","alive","aliveandthriving","hive"],"description":"GNoME (Graph Networks for Materials Exploration ) is AI model developed by Google's DeepMind team and it's task is to predict inorganic crystal structures ... which are repeating arrangements of atoms","app":"ecency/3.0.37-vision","format":"markdown+html","image_ratios":["2.1700"]}"
created2023-12-02 21:05:00
last_update2023-12-02 21:05:00
depth0
children1
last_payout2023-12-09 21:05:00
cashout_time1969-12-31 23:59:59
total_payout_value0.600 HBD
curator_payout_value0.594 HBD
pending_payout_value0.000 HBD
promoted0.000 HBD
body_length2,182
author_reputation6,990,399,545,727
root_title"How Gnome AI hunts for miracle materials"
beneficiaries[]
max_accepted_payout1,000,000.000 HBD
percent_hbd10,000
post_id129,358,640
net_rshares2,437,921,803,420
author_curate_reward""
vote details (51)
@ecency ·
**Yay!** 🤗<br>Your content has been **boosted with Ecency Points**, by @hiveborgminer. <br>Use Ecency daily to boost your growth on platform! <br><br><b>Support Ecency</b><br>[Vote for new Proposal](https://hivesigner.com/sign/update-proposal-votes?proposal_ids=%5B283%5D&approve=true)<br>[Delegate HP and earn more](https://ecency.com/hive-125125/@ecency/daily-100-curation-rewards)
properties (22)
authorecency
permlinkre-2023123t14432782z
categoryhive-196387
json_metadata{"tags":["ecency"],"app":"ecency/3.0.20-welcome","format":"markdown+html"}
created2023-12-03 14:43:27
last_update2023-12-03 14:43:27
depth1
children0
last_payout2023-12-10 14:43:27
cashout_time1969-12-31 23:59:59
total_payout_value0.000 HBD
curator_payout_value0.000 HBD
pending_payout_value0.000 HBD
promoted0.000 HBD
body_length383
author_reputation624,379,993,597,395
root_title"How Gnome AI hunts for miracle materials"
beneficiaries[]
max_accepted_payout1,000,000.000 HBD
percent_hbd10,000
post_id129,375,419
net_rshares0