Collection of routines for modelling the energy transfer processes in lanthanide doped materials.
-
Updated
Apr 10, 2026 - Python
#
rare-earths
Here are 6 public repositories matching this topic...
-
Updated
Jul 6, 2022 - R
Benchmark Mineral Intelligence is the world's leading market intelligence and price reporting agency for the lithium-ion battery supply chain and energy transition materials.
cobalt graphite supply-chain mining lithium nickel electric-vehicles batteries lithium-ion market-intelligence energy-transition apis-json rare-earths critical-minerals price-reporting naftiko
-
Updated
Jun 20, 2026
A Toy AI-generated formally-verified analysis of the AI capital loop + a transparent, server-less coordination poll.
open-data data-journalism z3 transparency financial-analysis smt formal-verification tla-plus systemic-risk stablecoins rare-earths ai-bubble
-
Updated
Jun 27, 2026 - HTML
Founder synARKa | Critical Minerals, Rare Earths & Resources Intelligence for Australian Defence & Government | Indo-Pacific Geopolitical Consensus Engine | 72 Hours Before The World Reacts
intelligence geopolitics ai-platform rare-earths critical-minerals consensus-engine indo-pacific australian-defence synarka
-
Updated
Jun 26, 2026 - HTML
Improve this page
Add a description, image, and links to the rare-earths topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rare-earths topic, visit your repo's landing page and select "manage topics."