# Molecular generation targeting desired electronic properties <i>via</i> deep generative models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/molecular-generation-targeting-desired-electronic-properties-i-via-i-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qi Yuan,Alejandro Santana‐Bonilla,Martijn A. Zwijnenburg,Kim E. Jelfs |
| Citations | 47 |
| DOI | 10.1039/c9nr10687a |
| Fields | Engineering,Materials Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://pubs.rsc.org/en/content/articlepdf/2020/nr/c9nr10687a |
| OpenAlex ID | https://openalex.org/W3012413014 |
| PMID | 32163074 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Qi Yuan](https://scholariq.org/researchers/qi-yuan-2/)

## Paper primary topic

- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)

## Paper topics

- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Semiconductor materials and devices](https://scholariq.org/topics/semiconductor-materials-and-devices/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.