Cover Image

Trustworthy AI-based crack-tip segmentation using domain-guided explanations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Talies, Jesco, Breitbarth, Eric, Melching, David
Format:	Preprint
Published:	2025
Subjects:	Materials Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A universal crack tip correction algorithm discovered by physical deep symbolic regression
by: Melching, David, et al.
Published: (2024)

Generating artificial digital image correlation data using physics-guided adversarial networks
by: Melching, David, et al.
Published: (2023)

Annotated digital image correlation displacement fields from fatigue crack growth experiments
by: Melching, David, et al.
Published: (2026)

Advanced crack tip stress analysis using interaction integrals in high-resolution digital image correlation fields
by: Paysan, Florian, et al.
Published: (2024)

Progress on Data-Driven, Multi-Objective Quantum Optimization
by: Plehn, Thomas, et al.
Published: (2025)

Identification and characterization of three-dimensional crack propagation mechanism in the Aluminium alloy AA2024-T3 using high-resolution Digital Image Correlation
by: Schöne, Vanessa, et al.
Published: (2024)

Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores
by: Amirian, Benhour, et al.
Published: (2025)

AI-guided inverse design and discovery of recyclable vitrimeric polymers
by: Zheng, Yiwen, et al.
Published: (2023)

Machine learning for structure-guided materials and process design
by: Morand, Lukas, et al.
Published: (2023)

A practical guide to machine learning interatomic potentials -- Status and future
by: Jacobs, Ryan, et al.
Published: (2025)

Observing the crack tip behaviour at the nanoscale during fracture of ceramics
by: Gavalda-Diaz, Oriol, et al.
Published: (2024)

Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling
by: Hosseinhashemi, Somayeh, et al.
Published: (2025)

Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory
by: Manzhos, Sergei, et al.
Published: (2025)

Hydrogen production from blended waste biomass: pyrolysis, thermodynamic-kinetic analysis and AI-based modelling
by: Kordoghli, Sana, et al.
Published: (2025)

Reinforcement learning-guided optimization of critical current in high-temperature superconductors
by: Cheng, Mouyang, et al.
Published: (2025)

Out-of-distribution materials property prediction using adversarial learning based fine-tuning
by: Li, Qinyang, et al.
Published: (2024)

Interpretable machine learning-guided design of Fe-based soft magnetic alloys
by: Nachnani, Aditi, et al.
Published: (2025)

Influence of temperature and crack-tip speed on crack propagation in elastic solids
by: Persson, B. N. J.
Published: (2024)

AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning
by: Song, Yuqi, et al.
Published: (2024)

Automated Extraction of Material Properties using LLM-based AI Agents
by: Ghosh, Subham, et al.
Published: (2025)

Predictive Inorganic Synthesis based on Machine Learning using Small Data sets: a case study of size-controlled Cu Nanoparticles
by: Motmans, Brent, et al.
Published: (2025)

AI-driven materials design: a mini-review
by: Cheng, Mouyang, et al.
Published: (2025)

Explainable AI for Curie Temperature Prediction in Magnetic Materials
by: Ajaib, M. Adeel, et al.
Published: (2025)

Autonomous Multi-objective Alloy Design through Simulation-guided Optimization
by: Yang, Penghui, et al.
Published: (2025)

AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback
by: Du, Qian, et al.
Published: (2026)

Inverse Design of Inorganic Compounds with Generative AI
by: Kneiding, Hannes, et al.
Published: (2026)

Performance of AI agents based on reasoning language models on ALD process optimization tasks
by: Yanguas-Gil, Angel
Published: (2026)

DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery
by: Singh, Divyanshu, et al.
Published: (2026)

Generating Symmetric Materials using Latent Flow Matching
by: Karmush, Anmar, et al.
Published: (2026)

Multi-modal strain mapping of steel crack tips with micrometer spatial resolution
by: Khaliq, Ahmar, et al.
Published: (2025)

Physics-based reward driven image analysis in microscopy
by: Barakati, Kamyar, et al.
Published: (2024)

Periodic Materials Generation using Text-Guided Joint Diffusion Model
by: Das, Kishalay, et al.
Published: (2025)

Industrial-scale Prediction of Cement Clinker Phases using Machine Learning
by: Fayaz, Sheikh Junaid, et al.
Published: (2024)

Simulated Annealing-based Candidate Optimization for Batch Acquisition Functions
by: Alvi, Sk Md Ahnaf Akif, et al.
Published: (2026)

Stress Predictions in Polycrystal Plasticity using Graph Neural Networks with Subgraph Training
by: Zhai, Hanfeng
Published: (2024)

Efficient Nudged Elastic Band Method using Neural Network Bayesian Algorithm Execution
by: Kakhandiki, Pranav, et al.
Published: (2025)

Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks
by: Song, Siyuan, et al.
Published: (2023)

Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder
by: Zeng, Cheng, et al.
Published: (2024)

CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
by: Liang, Chen, et al.
Published: (2025)

Microstructure-based Variational Neural Networks for Robust Uncertainty Quantification in Materials Digital Twins
by: Robertson, Andreas E., et al.
Published: (2025)