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Showing 1–4 of 4 results

Advanced filters: Author: Mikhail Askerka Clear advanced filters

Accelerated discovery of CO₂ electrocatalysts using active machine learning

Machine learning predicts Cu-Al electrocatalysts provide better efficiency and productivity than copper when using intermittent renewable electricity to convert carbon dioxide to useful chemicals and fuels.

Miao Zhong
Kevin Tran
Edward H. Sargent
Research13 May 2020
Nature

Volume: 581, P: 178-183
Pulsed axial epitaxy of colloidal quantum dots in nanowires enables facet-selective passivation

The precise control over nanoscale structures is crucial in developing new, functional nanomaterials. Here, authors demonstrate a controllable method to epitaxially stack CdS quantum dots into ZnS nanowires and show improved photocatalytic hydrogen evolution activities.

Yi Li
Tao-Tao Zhuang
Shu-Hong Yu
ResearchOpen Access23 Nov 2018
Nature Communications

Volume: 9, P: 1-8
Color-stable highly luminescent sky-blue perovskite light-emitting diodes

Perovskite light-emitting diodes show promising color tunability and device performance but suffer from emission color shift at higher driving voltages. Here Xing et al. report color stable blue light-emitting diodes by drastically increasing the phase purity of the quasi-2D perovskite thin films.

Jun Xing
Yongbiao Zhao
Edward H. Sargent
ResearchOpen Access30 Aug 2018
Nature Communications

Volume: 9, P: 1-8
Spin control in reduced-dimensional chiral perovskites

Spin-polarized photon absorption and photoluminescence are reported in reduced-dimensional chiral perovskite materials. The finding indicates that such materials may in the future be useful as a photonic interface for spintronics.

Guankui Long
Chongyun Jiang
Edward H. Sargent
Research13 Aug 2018
Nature Photonics

Volume: 12, P: 528-533