The synergistic effect of surface vacancies and heterojunctions for efficient photocatalysis: A review

K Yin, Z Yan, N Fang, W Yu, Y Chu, S Shu… - Separation and …, 2023 - Elsevier
Photocatalysis is an economical and environment-friendly technology with promising
application, while the development of efficient photocatalyst is full of challenge. Fabrication …

Identifying the intrinsic anti-site defect in manganese-rich NASICON-type cathodes

Y Liu, X Rong, R Bai, R Xiao, C Xu, C Zhang, J Xu… - Nature Energy, 2023 - nature.com
Manganese-rich NASICON-type materials have triggered widespread attention for
developing advanced polyanionic cathodes, primarily driven by their abundant reserves and …

Deep learning analysis on transmission electron microscope imaging of atomic defects in two-dimensional materials

C Gui, Z Zhang, Z Li, C Luo, J Xia, X Wu, J Chu - Iscience, 2023 - cell.com
Defects are prevalent in two-dimensional (2D) materials due to thermal equilibrium and
processing kinetics. The presence of various defect types can affect material properties …

Monolayer MoS2 synaptic devices synergistically modulated by Na+ ions and sulfur vacancies for neuromorphic computing and pain perception stimulation

YB Liu, D Cai, TC Zhao, M Shen, X Zhou… - Journal of Materials …, 2023 - Elsevier
Ion based synaptic devices (ISDs) are one of the excellent candidates for neuromorphic
computing. However, most of ISDs utilized additional ion sources to supply ions for adjusting …

On‐chip investigation of electrocatalytic oxygen reduction reaction of 2D materials

J Qi, W Wang, Y Li, Y Sun, Z Wu, K Bao, L Wang, R Ye… - Small, 2022 - Wiley Online Library
The on‐chip electrocatalytic microdevice (OCEM) is an emerging platform specialized in the
electrochemical investigation of single‐entity nanomaterials, which is ideal for probing the …

Predicting column heights and elemental composition in experimental transmission electron microscopy images of high-entropy oxides using deep learning

IZ Borshon, M Ragone, AH Phakatkar, L Long… - npj Computational …, 2024 - nature.com
A novel approach is presented by integrating images-driven deep learning (DL) with high
entropy oxides (HEOs) analysis. A fully convolutional neural network (FCN) is used to …

Green Colloidal Synthesis of MoS2 Nanoflakes

F Zechel, P Hutár, V Vretenár, K Végsö… - Inorganic …, 2023 - ACS Publications
Currently, two approaches dominate the large-scale production of MoS2: liquid-phase
exfoliation, referred to as the top-down approach, and bottom-up colloidal synthesis from …

Exploring electron-beam induced modifications of materials with machine-learning assisted high temporal resolution electron microscopy

MG Boebinger, A Ghosh, KM Roccapriore… - npj Computational …, 2024 - nature.com
Directed atomic fabrication using an aberration-corrected scanning transmission electron
microscope (STEM) opens new pathways for atomic engineering of functional materials. In …

Bio-derived 1T-MoS2/C-based aerogel by synergistic solar evaporation and tetracyclines removal for efficient freshwater generation

X Cheng, L Yang, F Sun, Y Shi, Z Wang, C Liu, F Yu… - Ceramics …, 2023 - Elsevier
Tetracycline, a broad-spectrum antibiotic, has been widely used in disease treatment and
other fields. However, due to the unreasonable use, tetracycline residue remains in water …

Unveiling the distinctive mechanical and thermal properties of γ-GeSe

J Park, Y Je, J Kim, JM Park, JE Jung, H Cheong… - Nano …, 2024 - Springer
Abstract γ-GeSe is a newly identified polymorph among group-IV monochalcogenides,
characterized by a distinctive interatomic bonding configuration. Despite its promising …