Recent progress on surface chemistry II: property and characterization

X Li, Z Xu, D Bu, J Cai, H Chen, Q Chen, T Chen… - Chinese Chemical …, 2025 - Elsevier
Surface with well-defined components and structures possesses unique electronic,
magnetic, optical and chemical properties. As a result, surface chemistry research plays a …

Autonomous Scanning Tunneling Microscopy Imaging via Deep Learning

Z Zhu, S Yuan, Q Yang, H Jiang, F Zheng… - Journal of the …, 2024 - ACS Publications
Scanning tunneling microscopy (STM) is a powerful technique that provides the ability to
manipulate and characterize individual atoms and molecules with atomic-level precision …

Automated generation and analysis of molecular images using generative artificial intelligence models

Z Zhu, J Lu, S Yuan, Y He, F Zheng… - The Journal of …, 2024 - ACS Publications
The development of scanning probe microscopy (SPM) has enabled unprecedented
scientific discoveries through high-resolution imaging. Simulations and theoretical analysis …

Advancing micro-nano supramolecular assembly mechanisms of natural organic matter by machine learning for unveiling environmental geochemical processes

M Zhang, Y Deng, Q Zhou, J Gao, D Zhang… - … Science: Processes & …, 2025 - pubs.rsc.org
The nano-self-assembly of natural organic matter (NOM) profoundly influences the
occurrence and fate of NOM and pollutants in large-scale complex environments. Machine …

The real-time detection of defects in nuclear power pipeline thermal insulation glass fiber by deep-learning

Q Zheng, L Lu, Z Chen, Q Wu, M Yang, B Hou, S Chen… - Energy, 2024 - Elsevier
Glass fiber, prized for its high-temperature thermal insulation and radiation resistance,
serves as a crucial material for insulating nuclear power pipelines. However, the harsh …

Integration of scanning probe microscope with high-performance computing: Fixed-policy and reward-driven workflows implementation

Y Liu, U Pratiush, J Bemis, R Proksch… - Review of Scientific …, 2024 - pubs.aip.org
The rapid development of computation power and machine learning algorithms has paved
the way for automating scientific discovery with a scanning probe microscope (SPM). The …

Order–Disorder Transition of Two-Dimensional Molecular Networks through a Stoichiometric Design

J Lu, D Nieckarz, H Jiang, Z Zhu, Y Yan, F Zheng… - ACS …, 2023 - ACS Publications
Materials with disordered structures may exhibit interesting properties. Metal–organic
frameworks (MOFs) are a class of hybrid materials composed of metal nodes and …

Predicting molecular self-assembly on metal surfaces using graph neural networks based on experimental data sets

F Zheng, J Lu, Z Zhu, H Jiang, Y Yan, Y He, S Yuan… - ACS …, 2023 - ACS Publications
The application of supramolecular chemistry on solid surfaces has received extensive
attention in the past few decades. To date, combining experiments with quantum mechanical …

Realizing smart scanning transmission electron microscopy using high performance computing

U Pratiush, A Houston, SV Kalinin… - Review of Scientific …, 2024 - pubs.aip.org
Scanning Transmission Electron Microscopy (STEM) coupled with Electron Energy Loss
Spectroscopy (EELS) presents a powerful platform for detailed material characterization via …

Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope

U Pratiush, A Houston, SV Kalinin… - arxiv preprint arxiv …, 2024 - arxiv.org
Scanning Transmission Electron Microscopy (STEM) coupled with Electron Energy Loss
Spectroscopy (EELS) presents a powerful platform for detailed material characterization via …