← Back to feed
3

Large language model agents accelerate inverse design of metal-organic frameworks for gas separation

A new large language model agent framework called LEMO Agent has been introduced to automate and accelerate the inverse design of metal-organic frameworks for gas separation.

Impact
42/100
Current rank score
2.76
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

Firefly links to the original publisher. The summary above is AI-generated for orientation and may differ from the source. The “current rank score” decays over time so newer significant stories surface first.