
One century after the discovery of ferroelectricity, and two decades after ferroelectric random access memories were first commercialized, this Special Issue of Advanced Electronic Materials demonstrates that the field of ferroelectricity is in robust health. First, ferroelectricity arises in very different types of material via different mechanisms. Second, ferroelectric domains in each type of material are liable to switch differently, for both intrinsic reasons (chemical formula) and extrinsic reasons (microstructure/strain). Third, an electrical polarization can display complex topologies. Fourth, ferroelectric order parameters can couple to other order parameters, e.g. magnetic order parameters. Fifth, ferroelectrics can be modified using light. Sixth, there continue to be improvements in techniques that measure ferroelectric and other ferroic materials. Seventh, ferroelectrics continue to attract the attention of experimentalists and theorists alike. We thank all of these people for their wonderful contributions, and below we identify papers via the name of the person invited. Last, we thank Dr Gaia Tomasello for suggesting the topic and inviting us to be Guest Editors. It has been a pleasure working with her.
3403 Macromolecular and Materials Chemistry, 34 Chemical Sciences, 4016 Materials Engineering, 40 Engineering
3403 Macromolecular and Materials Chemistry, 34 Chemical Sciences, 4016 Materials Engineering, 40 Engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
