Copertina

DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wei, Xingfei, Mo, Qiankun, Chen, Chi, Bathe, Mark, Hernandez, Rigoberto
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Chemical Physics Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Photothermal Expansion of Nanostructures in Photo-induced Force Microscopy
di: Anindo, Shohely Tasnim, et al.
Pubblicazione: (2024)

Characterization of Coulomb Interactions in Electron Transport through a Single Hetero-Helicene Molecular Junction Using Scanning Tunneling Microscopy
di: Shi, Yueqing, et al.
Pubblicazione: (2024)

Real-Time Electron-Electron Scattering Dynamics in Plasmonic Nanostructures
di: Wu, Yanze, et al.
Pubblicazione: (2026)

Recurrent Neural Networks for Prediction of Electronic Excitation Dynamics
di: Shapera, Ethan P., et al.
Pubblicazione: (2024)

From Coated to Uncoated: Scanning Electron Microscopy Corrections to Estimate True Surface Pore Size in Nanoporous Membranes
di: Danalou, Sima Zeinali, et al.
Pubblicazione: (2025)

Stoichiometrically-informed symbolic regression for extracting chemical reaction mechanisms from data
di: Banos, Manuel Palma, et al.
Pubblicazione: (2025)

Reconstructing Pristine Molecular Orbitals from Scanning Tunneling Microscopy Images via Artificial Intelligence Approaches
di: Zhu, Yu, et al.
Pubblicazione: (2025)

A Neural-Network-Based Selective Configuration Interaction Approach to Molecular Electronic Structure
di: Schmerwitz, Yorick L. A., et al.
Pubblicazione: (2024)

Coarse-Grained Geometric Quantum Dynamics in the Tensor Network Representation
di: Sha, Mo, et al.
Pubblicazione: (2026)

Highly Accurate Real-space Electron Densities with Neural Networks
di: Cheng, Lixue, et al.
Pubblicazione: (2024)

Impact of Amino Acid Environment on Electron Attachment to DNA: The Role of Zwitterionic Form
di: Gogoi, Ankita, et al.
Pubblicazione: (2026)

Chemical Reaction Engineering and Catalysis: AI/ML Workflows and Self-Driving Laboratories
di: Advincula, Rigoberto, et al.
Pubblicazione: (2026)

Lost Data in Electron Microscopy
di: Ivanova, Nina M., et al.
Pubblicazione: (2025)

Neural Network Based Molecular Structure Retrieval from Coulomb Explosion Imaging Data
di: Ghanaatian, Amirhossein, et al.
Pubblicazione: (2026)

Experimentally Accurate Graph Neural Network Predictions of Core-Electron Binding Energies
di: Fouda, Adam E. A., et al.
Pubblicazione: (2026)

NAD_MCNN: Combining Protein Language Models and Multiwindow Convolutional Neural Networks for Deacetylase NAD+ Binding Site Prediction
di: Van‐The Le, et al.
Pubblicazione: (2025)

Quantitative Phase Retrieval and Characterization of Magnetic Nanostructures via Lorentz (Scanning) Transmission Electron Microscopy
di: Mendoza, Kayna L., et al.
Pubblicazione: (2024)

Zinc Oxide Nanostructures in Photovoltaics: Recent Progress, Technical Challenges and Perspectives
di: Alamgeer, et al.
Pubblicazione: (2025)

Characterizing the Structure of 3D DNA Origami in a Transmission Electron Microscope
di: Ong, Alyna, et al.
Pubblicazione: (2025)

Pulse Sequences to Observe NMR Coupled Relaxation in AXn Spin Systems
di: Brown, Russell A.
Pubblicazione: (2023)

Revealing Light-Driven Dynamics at Nanostructured Solid-Liquid Interfaces with In-Situ SHG
di: Anwar, Tarique, et al.
Pubblicazione: (2025)

A Survey of Neural Network Variational Monte Carlo from a Computing Workload Characterization Perspective
di: Xiao, Zhengze, et al.
Pubblicazione: (2026)

Journal of Nanostructures
Pubblicazione: (2016)

Active Label Cleaning for Reliable Detection of Electron Dense Deposits in Transmission Electron Microscopy Images
di: Tan, Jieyun, et al.
Pubblicazione: (2026)

Recent Advances in Nanostructured Spinel Oxides Electrocatalysts: Synthesis Strategies, Regulation, and Performance Modulation
di: Weixia Wang, et al.
Pubblicazione: (2026)

Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks
di: Kwak, Bumju, et al.
Pubblicazione: (2024)

Imaging the Photochemistry of Cyclobutanone using Ultrafast Electron Diffraction: Experimental Results
di: Green, A. E., et al.
Pubblicazione: (2025)

Transferability of Atom-Based Neural Networks
di: Kjeldal, Frederik Ø., et al.
Pubblicazione: (2024)

A Hybrid Physics-Driven Neural Network Force Field for Liquid Electrolytes
di: Chen, Junmin, et al.
Pubblicazione: (2025)

Nanogap-Engineered Core-Shell-Like Nanostructures for Comprehensive SERS Analysis
di: Suster, Mihai C., et al.
Pubblicazione: (2024)

Stochastic Real-Time Second-Order Green's Function Theory for Neutral Excitations in Molecules and Nanostructures
di: Mejía, Leopoldo, et al.
Pubblicazione: (2023)

Engineering Nanoscale Frontiers: Valve Metal Oxide Nanostructures From Fundamentals to Multifunctional Biomedical Applications
di: Nina Kummer, et al.
Pubblicazione: (2026)

A Review of Synthesis Techniques for Thermoelectric Materials: From Bulk Processing and Nanostructuring to Thin‐Film Deposition
di: Samira Saddique, et al.
Pubblicazione: (2025)

Numerical Modeling of Transient Absorption in Hybrid Dual-Plasmonic Au/CuS Nanostructures
di: Habibpourmoghadam, Atefeh, et al.
Pubblicazione: (2024)

Non-destructive Three-dimensional Imaging of Artificially Degraded CdS Paints by Pump-probe Microscopy
di: Zhou, Yue, et al.
Pubblicazione: (2023)

Towards Quantitative Interpretation of 3D Atomic Force Microscopy at Solid-Liquid Interfaces
di: Ai, Qian, et al.
Pubblicazione: (2025)

EDBench: Large-Scale Electron Density Data for Molecular Modeling
di: Xiang, Hongxin, et al.
Pubblicazione: (2025)

Light-Matter Interactions in Photosynthetic Protein Attached to solids and Nanostructures
di: Carmeli, Itai, et al.
Pubblicazione: (2024)

Electronic decoherence along a single nuclear trajectory
di: Tu, Matisse Wei-Yuan, et al.
Pubblicazione: (2025)

Nanostructured Fe2O3/CuxO Heterojunction for Enhanced Solar Redox Flow Battery Performance
di: Ma, Jiaming, et al.
Pubblicazione: (2024)