Symbol h_validated
alidated is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Why this formula appears here
For ML-guided autonomous labs, validated hit rate is the number under direct dispute. A-Lab reports roughly 70 percent of its 58 attempted targets synthesized as intended over its reported run [ 3 ] . GNoME’s own 380,000-structure “stable” count is a computational classification, not an experimental validation count, and the critique from Cheetham and Seshadri argues that an unknown but material fraction of that computational count would not survive independent scrutiny for novelty or synthesizability even before anyone attempts to make them [ 5 ] . Reporting on duplicate structures across high-throughput databases generally reinforces that caution without pinning down a single…
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Symbol N_synthesized and confirmed
ynthesized and confirmed occurs above the fraction bar. The numerator is divided by the entire denominator below it.
Read this term in its guide →Symbol N_candidates proposed
andidates proposed occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.
Read this term in its guide →How to interpret it
With a fixed numerator, increasing a nonzero denominator reduces the fraction. Read it with the definitions, units, and assumptions supplied by the article.
Research cited beside this formula
Published contexts (1)
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 3 · Materials Science
Comparing the Main Approaches to Materials Discovery and Degradation
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
For ML-guided autonomous labs, validated hit rate is the number under direct dispute. A-Lab reports roughly 70 percent of its 58 attempted targets synthesized as intended over its reported run [ 3 ] . GNoME’s own 380,000-structure “stable” count is a computational classification, not an experimental validation count, and the critique from Cheetham and Seshadri argues that an unknown but material fraction of that computational count would not survive independent scrutiny for novelty or synthesizability even before anyone attempts to make them [ 5 ] . Reporting on duplicate structures across high-throughput databases generally reinforces that caution without pinning down a single…
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