Materials NLP

A family is a named generation or product line. Scores below are the sum of its named releases and any documented internal systems in the same line.

Benefit

+0.37

Harm

0.00

Net Good

0.37

Releases

Literature NLP Recipe Model

Leaderboard

Rank	Model	Organization	Benefit	Harm	Net	Events	Last impact
42	Literature NLP Recipe Model Materials NLP	Lawrence Berkeley National Laboratory	+0.37	0.00	0.37	1	29 Nov 2023

Timeline

Events

Benefit29 Nov 2023

Berkeley A-Lab autonomously synthesizes computationally proposed inorganic compounds

Lawrence Berkeley’s A-Lab, published 29 November 2023 alongside GNoME, used ML, literature NLP, and robotics to synthesize 41 of 58 targeted solids in 17 days, including materials suggested from DeepMind stability data.

Materials ScienceverifiedTier 3 Major+0.54