Phase engineering of nanomaterials

Y Chen, Z Lai, X Zhang, Z Fan, Q He, C Tan… - Nature Reviews …, 2020 - nature.com
Phase has emerged as an important structural parameter—in addition to composition,
morphology, architecture, facet, size and dimensionality—that determines the properties and …

Machine learning in scanning transmission electron microscopy

SV Kalinin, C Ophus, PM Voyles, R Erni… - Nature Reviews …, 2022 - nature.com
Scanning transmission electron microscopy (STEM) has emerged as a uniquely powerful
tool for structural and functional imaging of materials on the atomic level. Driven by …

Recent progress on phase engineering of nanomaterials

Q Yun, Y Ge, Z Shi, J Liu, X Wang, A Zhang… - Chemical …, 2023 - ACS Publications
As a key structural parameter, phase depicts the arrangement of atoms in materials.
Normally, a nanomaterial exists in its thermodynamically stable crystal phase. With the …

Compound copper chalcogenide nanocrystals

C Coughlan, M Ibanez, O Dobrozhan, A Singh… - Chemical …, 2017 - ACS Publications
This review captures the synthesis, assembly, properties, and applications of copper
chalcogenide NCs, which have achieved significant research interest in the last decade due …

Reversible disorder-order transitions in atomic crystal nucleation

S Jeon, T Heo, SY Hwang, J Ciston, KC Bustillo… - Science, 2021 - science.org
Nucleation in atomic crystallization remains poorly understood, despite advances in
classical nucleation theory. The nucleation process has been described to involve a …

Prospects of nanoscience with nanocrystals

MV Kovalenko, L Manna, A Cabot, Z Hens… - ACS …, 2015 - ACS Publications
Colloidal nanocrystals (NCs, ie, crystalline nanoparticles) have become an important class
of materials with great potential for applications ranging from medicine to electronic and …

Plasmonic doped semiconductor nanocrystals: Properties, fabrication, applications and perspectives

I Kriegel, F Scotognella, L Manna - Physics Reports, 2017 - Elsevier
Degenerately doped semiconductor nanocrystals (NCs) are of recent interest to the NC
community due to their tunable localized surface plasmon resonances (LSPRs) in the near …

Big–deep–smart data in imaging for guiding materials design

SV Kalinin, BG Sumpter, RK Archibald - Nature materials, 2015 - nature.com
Harnessing big data, deep data, and smart data from state-of-the-art imaging might
accelerate the design and realization of advanced functional materials. Here we discuss …

Real-Time Imaging of Pt3Fe Nanorod Growth in Solution

HG Liao, L Cui, S Whitelam, H Zheng - science, 2012 - science.org
The growth of colloidal nanocrystal architectures by nanoparticle attachment is frequently
reported as an alternative to the conventional growth by monomer attachment. However, the …

Parallel multistream training of high-dimensional neural network potentials

A Singraber, T Morawietz, J Behler… - Journal of chemical …, 2019 - ACS Publications
Over the past years high-dimensional neural network potentials (HDNNPs), fitted to
accurately reproduce ab initio potential energy surfaces, have become a powerful tool in …