:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Faassen, Booy Vitas, Serrano, Jorge, Rosero-Montalvo, Paul D.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Materials Science
Online Access:	https://arxiv.org/abs/2403.05694
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-View Neural 3D Reconstruction of Micro-/Nanostructures with Atomic Force Microscopy
by: Chen, Shuo, et al.
Published: (2024)

What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers
by: Pawlowsky, Moritz, et al.
Published: (2026)

PolyCrysDiff: Controllable Generation of Three-Dimensional Computable Polycrystalline Material Structures
by: Chen, Chi, et al.
Published: (2026)

Nano1D: An accurate Computer Vision software for analysis and segmentation of low-dimensional nanostructures
by: Moradpur-Tari, Ehsan, et al.
Published: (2023)

Leveraging Modified Ex Situ Tomography Data for Segmentation of In Situ Synchrotron X-Ray Computed Tomography
by: Manchester, Tristan, et al.
Published: (2025)

MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction
by: Zhang, Qinyi, et al.
Published: (2025)

Automated and Scalable SEM Image Analysis of Perovskite Solar Cell Materials via a Deep Segmentation Framework
by: Pan, Jian Guo, et al.
Published: (2025)

Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests
by: Li, Ni, et al.
Published: (2025)

Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina
by: Schmid, Julian, et al.
Published: (2026)

Leveraging Vision Capabilities of Multimodal LLMs for Automated Data Extraction from Plots
by: Polak, Maciej P., et al.
Published: (2025)

SparseC-AFM: a deep learning method for fast and accurate characterization of MoS$_2$ with C-AFM
by: Harris, Levi, et al.
Published: (2025)

Rejoining fragmented ancient bamboo slips with physics-driven deep learning
by: Zhu, Jinchi, et al.
Published: (2025)

Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation
by: Docherty, Ronan, et al.
Published: (2025)

Human Perception-Inspired Grain Segmentation Refinement Using Conditional Random Fields
by: Aksoy, Doruk, et al.
Published: (2023)

Machine Learning Enabled Graph Analysis of Particulate Composites: Application to Solid-state Battery Cathodes
by: Li, Zebin, et al.
Published: (2025)

Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via U-Net Segmentation
by: Okubo, Vinícius Yu, et al.
Published: (2025)

Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations
by: Yan, Alfred, et al.
Published: (2025)

Creating a Microstructure Latent Space with Rich Material Information for Multiphase Alloy Design
by: Ma, Xudong, et al.
Published: (2024)

Generative Image Restoration and Super-Resolution using Physics-Informed Synthetic Data for Scanning Tunneling Microscopy
by: Kolev, Nikola L., et al.
Published: (2025)

Deep learning denoising unlocks quantitative insights in operando materials microscopy
by: Degnan-Morgenstern, Samuel, et al.
Published: (2025)

Generative diffusion modeling protocols for improving the Kikuchi pattern indexing in electron back-scatter diffraction
by: Prajapat, Meghraj, et al.
Published: (2025)

Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification
by: Chen, Binwei, et al.
Published: (2026)

AI-assisted Human-in-the-Loop Web Platform for Structural Characterization in Hard drive design
by: Pratiush, Utkarsh, et al.
Published: (2026)

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation
by: Abebe, Waqwoya, et al.
Published: (2024)

Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring
by: Lynch, Matthew J., et al.
Published: (2024)

Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
by: Zhao, Chonghang, et al.
Published: (2025)

MatSSL: Robust Self-Supervised Representation Learning for Metallographic Image Segmentation
by: Nguyen, Hoang Hai Nam, et al.
Published: (2025)

Atom identification in bilayer moire materials with Gomb-Net
by: Houston, Austin C., et al.
Published: (2025)

Fine-tuning a vision-language model for fracture-surface morphology recognition
by: Liu, Quanliang, et al.
Published: (2026)

Benchmarking Machine Learning Approaches for Polarization Mapping in Ferroelectrics Using 4D-STEM
by: Martinc, Matej, et al.
Published: (2026)

Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders
by: Sultanov, Seyfal, et al.
Published: (2024)

Digital Fingerprinting of Microstructures
by: White, Michael D., et al.
Published: (2022)

MaskTerial: A Foundation Model for Automated 2D Material Flake Detection
by: Uslu, Jan-Lucas, et al.
Published: (2024)

A Decade of Generative Adversarial Networks for Porous Material Reconstruction
by: Sadeghkhani, Ali, et al.
Published: (2026)

SAM$^{*}$: Task-Adaptive SAM with Physics-Guided Rewards
by: Barakati, Kamyar, et al.
Published: (2025)

Autonomous Diffractometry Enabled by Visual Reinforcement Learning
by: Oppliger, J., et al.
Published: (2026)

MicroViT: A Vision Transformer with Low Complexity Self Attention for Edge Device
by: Setyawan, Novendra, et al.
Published: (2025)

Enhancing Computer Vision with Knowledge: a Rummikub Case Study
by: Vandevelde, Simon, et al.
Published: (2024)

SlimEdge: Performance and Device Aware Distributed DNN Deployment on Resource-Constrained Edge Hardware
by: Kumar, Mahadev Sunil, et al.
Published: (2025)

Physics Informed Generative AI Enabling Labour Free Segmentation For Microscopy Analysis
by: Zahran, Salma, et al.
Published: (2026)