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20192021
most citedRevealing the Compositional Control of Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses

8 citations · 19 across the 5 of their papers we have counts for

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physics.comp-ph2020★ 2 cited

Scalable Gaussian Processes for Predicting the Properties of Inorganic Glasses with Large Datasets

Suresh Bishnoi, R. Ravinder, Hargun Singh +2

Gaussian process regression (GPR) is a useful technique to predict composition--property relationships in glasses as the method inherently provides the standard deviation of the pr…