How machine learning can help identify new, deeply buried porphyry copper deposits
Two novel machine learning techniques are able to identify new, deeply buried porphyry copper deposits by characterizing magma fertility.
Curtin University researchers make battery-free breakthrough
Research found a more effective way to improve the output…
Primitive vegetation played key role in composition of earth’s continental rocks
Primitive plants transformed what was once a Mars-like planet of…
AI reveals melting temperature of all known earthly minerals
Prior to this development, less than 10% of the melting…
New aluminum-sulphur battery developed to lower cost of energy storage
In a paper published in the journal Nature, the researchers…
