Inverse design of nanoporous crystalline reticular materials with deep generative models - Concepedia

Concepedia

Publication | Open Access

Inverse design of nanoporous crystalline reticular materials with deep generative models

DOI Full Paper Access

359

Citations

81

References

2021

Year

Zhenpeng Yao, Benjamín Sánchez-Lengeling, N. Scott Bobbitt, Benjamin J. Bucior, Sai Govind Hari Kumar, Sean P. Collins, Thomas D. Burns, Tom K. Woo, Omar K. Farha, Randall Q. Snurr,

Nature Machine Intelligence

Materials ScienceEngineeringNanoporous MaterialNanomaterialsNanotechnologyDeep Generative ModelsApplied PhysicsMaterial ModelingNanoscale ModelingNanostructure SynthesisInverse DesignFunctional Materials

References

	Year	Citations

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