Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding
Fuente:
arXiv
Saved in:
| Main Author: | Mishra, Akshansh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
by: Mishra, Akshansh
Published: (2026)
by: Mishra, Akshansh
Published: (2026)
Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
by: Mishra, Akshansh
Published: (2024)
by: Mishra, Akshansh
Published: (2024)
Explainable Computer Vision Framework for Automated Pore Detection and Criticality Assessment in Additive Manufacturing
by: Mishra, Akshansh, et al.
Published: (2026)
by: Mishra, Akshansh, et al.
Published: (2026)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process
by: Mishra, Akshansh, et al.
Published: (2025)
by: Mishra, Akshansh, et al.
Published: (2025)
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025)
by: Younes, Eliane, et al.
Published: (2025)
Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
by: Peivaste, Iman, et al.
Published: (2025)
by: Peivaste, Iman, et al.
Published: (2025)
Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing
by: Mishra, Akshansh
Published: (2024)
by: Mishra, Akshansh
Published: (2024)
A collaborative digital twin built on FAIR data and compute infrastructure
by: Deucher, Thomas M., et al.
Published: (2025)
by: Deucher, Thomas M., et al.
Published: (2025)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
by: Lucchetti, Alessandro, et al.
Published: (2025)
by: Lucchetti, Alessandro, et al.
Published: (2025)
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
by: Jiang, Lidang, et al.
Published: (2024)
by: Jiang, Lidang, et al.
Published: (2024)
Malware Classification using Diluted Convolutional Neural Network with Fast Gradient Sign Method
by: Anand, Ashish, et al.
Published: (2026)
by: Anand, Ashish, et al.
Published: (2026)
Feature Mapping in Physics-Informed Neural Networks (PINNs)
by: Zeng, Chengxi, et al.
Published: (2024)
by: Zeng, Chengxi, et al.
Published: (2024)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
A Machine Learning Approach to Generate Residual Stress Distributions using Sparse Characterization Data in Friction-Stir Processed Parts
by: Shaikh, Shadab Anwar, et al.
Published: (2025)
by: Shaikh, Shadab Anwar, et al.
Published: (2025)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)
by: Wang, Bicheng, et al.
Published: (2025)
Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)
by: Curtosi, Gabriel, et al.
Published: (2026)
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
by: Rivera, Diego Machain, et al.
Published: (2025)
by: Rivera, Diego Machain, et al.
Published: (2025)
Probabilistic Retrofitting of Learned Simulators
by: Diaconu, Cristiana, et al.
Published: (2026)
by: Diaconu, Cristiana, et al.
Published: (2026)
Advancing Welding Defect Detection in Maritime Operations via Adapt-WeldNet and Defect Detection Interpretability Analysis
by: S, Kamal Basha, et al.
Published: (2025)
by: S, Kamal Basha, et al.
Published: (2025)
Recent Trends in Artificial Intelligence-inspired Electronic Thermal Management
by: Chharia, Aviral, et al.
Published: (2021)
by: Chharia, Aviral, et al.
Published: (2021)
Solution Space Topology Guides CMTS Search
by: Mannucci, Mirco A.
Published: (2025)
by: Mannucci, Mirco A.
Published: (2025)
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling
by: Dang, Gang, et al.
Published: (2024)
by: Dang, Gang, et al.
Published: (2024)
Case-Guided Sequential Assay Planning in Drug Discovery
by: Chen, Tianchi, et al.
Published: (2026)
by: Chen, Tianchi, et al.
Published: (2026)
Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks
by: Bonneville, Christophe, et al.
Published: (2026)
by: Bonneville, Christophe, et al.
Published: (2026)
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
by: Deng, Huayu, et al.
Published: (2024)
by: Deng, Huayu, et al.
Published: (2024)
Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization
by: Li, Tao, et al.
Published: (2026)
by: Li, Tao, et al.
Published: (2026)
MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
by: Chen, Xiangsen, et al.
Published: (2026)
by: Chen, Xiangsen, et al.
Published: (2026)
KANO: Kolmogorov-Arnold Neural Operator
by: Lee, Jin, et al.
Published: (2025)
by: Lee, Jin, et al.
Published: (2025)
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
by: Lin, Fu, et al.
Published: (2024)
by: Lin, Fu, et al.
Published: (2024)
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
by: Ma, Pingchuan, et al.
Published: (2024)
by: Ma, Pingchuan, et al.
Published: (2024)
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
by: Ansari, Navid, et al.
Published: (2023)
by: Ansari, Navid, et al.
Published: (2023)
Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes
by: Paischer, Fabian, et al.
Published: (2025)
by: Paischer, Fabian, et al.
Published: (2025)
Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM
by: Yue, Ling, et al.
Published: (2025)
by: Yue, Ling, et al.
Published: (2025)
Solving the Discretised Neutron Diffusion Equations using Neural Networks
by: Phillips, T. R. F., et al.
Published: (2023)
by: Phillips, T. R. F., et al.
Published: (2023)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)
by: Li, Yuante, et al.
Published: (2025)
CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)
by: Cao, Yupeng, et al.
Published: (2024)
Similar Items
-
Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
by: Mishra, Akshansh
Published: (2026) -
Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
by: Mishra, Akshansh
Published: (2024) -
Explainable Computer Vision Framework for Automated Pore Detection and Criticality Assessment in Additive Manufacturing
by: Mishra, Akshansh, et al.
Published: (2026) -
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025) -
Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process
by: Mishra, Akshansh, et al.
Published: (2025)