Diffraction-limited imaging with monolayer 2D material-based ultrathin flat lenses

H Lin, ZQ Xu, G Cao, Y Zhang, J Zhou… - Light: Science & …, 2020 - nature.com
… The images or other third party material in this article are included in the article’s Creative
Commons license, unless indicated otherwise in a credit line to the material. If …

Emerging X-ray imaging technologies for energy materials

C Cao, MF Toney, TK Sham, R Harder, PR Shearing… - Materials Today, 2020 - Elsevier
… major X-ray imaging technologies, including X-ray projection imaging, transmission X-…
imaging, and coherent diffraction imaging. Researchers can choose from various X-ray imaging

Rapid assembly of small materials building blocks (voxels) into large functional 3D metamaterials

V Hahn, P Kiefer, T Frenzel, J Qu… - … Functional Materials, 2020 - Wiley Online Library
… If the stitching period is an integer multiple of the DOE's period, we have found significant
crosstalk between the diffracted orders and the stitching artifact. By deliberately making these …

Imaging beam‐sensitive materials by electron microscopy

Q Chen, C Dwyer, G Sheng, C Zhu, X Li… - … Materials, 2020 - Wiley Online Library
… advantage of electron diffraction as a tool for measuring beam damage over imaging lies
in … , reactions and dynamics for catalysts and functional materials under working conditions. …

Structural analysis of molecular materials using the pair distribution function

MW Terban, SJL Billinge - Chemical Reviews, 2021 - ACS Publications
… The atomic pair distribution function (PDF) analysis of diffraction data can fill the gap when
the samples contain defects, disorder, and/or discrete material structures. In recent years, …

Phase imaging with an untrained neural network

F Wang, Y Bian, H Wang, M Lyu, G Pedrini… - Light: Science & …, 2020 - nature.com
… effect of the diffraction distance d on the quality of the reconstructed image. We take three …
The images or other third party material in this article are included in the article’s Creative …

Deep learning analysis on microscopic imaging in materials science

M Ge, F Su, Z Zhao, D Su - Materials Today Nano, 2020 - Elsevier
… this task, such as on the discovery of functional materials [6], on imaging characterization [7],
on physically relevant properties prediction [8], on materials design [9], etc. Furthermore, …

Imaging based on metalenses

X Zou, G Zheng, Q Yuan, W Zang, R Chen, T Li, L Li… - PhotoniX, 2020 - Springer
… The field of view for the metalens doublet can reach 50 and the maximum diffraction-limited
focusing efficiency is 50%, which enables the diffraction-limited imaging with better spatial …

Exploring functional photonic devices made from a chiral metal–organic framework material by a multiscale computational method

B Zerulla, C Li, D Beutel, S Oßwald… - … Functional Materials, 2024 - Wiley Online Library
… The correctness of our ab initio calculated structure and optical material properties were …
diffraction, UV–vis absorption, and ECD spectroscopy of a thin film of the prepared MOF material

Super-resolution fluorescence-assisted diffraction computational tomography reveals the three-dimensional landscape of the cellular organelle interactome

D Dong, X Huang, L Li, H Mao, Y Mo, G Zhang… - Light: Science & …, 2020 - nature.com
diffraction computational tomography (SR-FACT), which combines label-free three-dimensional
optical diffraction … Using dual-mode correlated live-cell imaging for a prolonged period of …