<i>In silico</i>high throughput screening of bimetallic and single atom alloys using machine learning and<i>ab initio</i>microkinetic modelling

S Saxena, Tuhin Suvra Khan, Fatima Jalid, Manojkumar Ramteke, M. Ali Haider

Journal of Materials Chemistry A · 2019 · 76 citations · 80 references

Concepts

Abstract

The advent of machine learning (ML) techniques in solving problems related to materials science and chemical engineering is driving expectations to give faster predictions of material properties.

References

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