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Recent progress on surface chemistry II: property and characterization
Surface with well-defined components and structures possesses unique electronic,
magnetic, optical and chemical properties. As a result, surface chemistry research plays a …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
attention in the past few decades. To date, combining experiments with quantum mechanical …
Realizing smart scanning transmission electron microscopy using high performance computing
Scanning Transmission Electron Microscopy (STEM) coupled with Electron Energy Loss
Spectroscopy (EELS) presents a powerful platform for detailed material characterization via …
Spectroscopy (EELS) presents a powerful platform for detailed material characterization via …
Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope
Scanning Transmission Electron Microscopy (STEM) coupled with Electron Energy Loss
Spectroscopy (EELS) presents a powerful platform for detailed material characterization via …
Spectroscopy (EELS) presents a powerful platform for detailed material characterization via …