Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Xiao-Xuan, Zhang, Pin, Yu, Hai-Sui, Yin, Zhen-Yu, Sheil, Brian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025)
by: Li, Yifei, et al.
Published: (2025)
Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
by: Jadoon, Asghar A., et al.
Published: (2025)
by: Jadoon, Asghar A., et al.
Published: (2025)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
by: Calafà, Matteo, et al.
Published: (2024)
by: Calafà, Matteo, et al.
Published: (2024)
Shapley Values: Paired-Sampling Approximations
by: Mayer, Michael, et al.
Published: (2025)
by: Mayer, Michael, et al.
Published: (2025)
Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
by: Liu, Ning, et al.
Published: (2024)
by: Liu, Ning, et al.
Published: (2024)
Elasto-acoustic wave propagation in geophysical media using hybrid high-order methods on general meshes
by: Mottier, Romain, et al.
Published: (2025)
by: Mottier, Romain, et al.
Published: (2025)
Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
by: Yuan, Biao, et al.
Published: (2024)
by: Yuan, Biao, et al.
Published: (2024)
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)
by: Karkaria, Vispi, et al.
Published: (2025)
Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
by: Luo, Junliang, et al.
Published: (2025)
by: Luo, Junliang, et al.
Published: (2025)
Discrete Elastic Ribbons: A Unified Discrete Differential Geometry Framework for One-Dimensional Energy Models
by: Panda, Shivam Kumar, et al.
Published: (2026)
by: Panda, Shivam Kumar, et al.
Published: (2026)
Tau-BNO: Brain Neural Operator for Tau Transport Model
by: Barron, Nuutti, et al.
Published: (2026)
by: Barron, Nuutti, et al.
Published: (2026)
Execution Welfare Across Solver-based DEXes
by: Yuminaga, Yuki, et al.
Published: (2025)
by: Yuminaga, Yuki, et al.
Published: (2025)
Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining
by: Zhang, Xu-Lu, et al.
Published: (2025)
by: Zhang, Xu-Lu, et al.
Published: (2025)
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
by: Chen, Dongsheng, et al.
Published: (2025)
by: Chen, Dongsheng, et al.
Published: (2025)
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
by: Baek, Jonghyuk, et al.
Published: (2023)
by: Baek, Jonghyuk, et al.
Published: (2023)
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
by: Behroozi, Abdolmehdi, et al.
Published: (2025)
by: Behroozi, Abdolmehdi, et al.
Published: (2025)
Transformer Encoder and Multi-features Time2Vec for Financial Prediction
by: Bui, Nguyen Kim Hai, et al.
Published: (2025)
by: Bui, Nguyen Kim Hai, et al.
Published: (2025)
UniFIDES: Universal Fractional Integro-Differential Equation Solvers
by: Saadat, Milad, et al.
Published: (2024)
by: Saadat, Milad, et al.
Published: (2024)
Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems
by: Rosen, et al.
Published: (2024)
by: Rosen, et al.
Published: (2024)
TabPFN Extensions for Interpretable Geotechnical Modelling
by: Saito, Taiga, et al.
Published: (2026)
by: Saito, Taiga, et al.
Published: (2026)
Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity
by: Nguyen, Binh Huy, et al.
Published: (2025)
by: Nguyen, Binh Huy, et al.
Published: (2025)
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers
by: Poddar, Souradip, et al.
Published: (2024)
by: Poddar, Souradip, et al.
Published: (2024)
A Variational Kolosov--Muskhelishvili Network for Elasticity and Fracture
by: Zhou, Shuwei, et al.
Published: (2026)
by: Zhou, Shuwei, et al.
Published: (2026)
AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
by: Ng, Chun Chet, et al.
Published: (2025)
by: Ng, Chun Chet, et al.
Published: (2025)
Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model
by: von Tresckow, Moritz, et al.
Published: (2023)
by: von Tresckow, Moritz, et al.
Published: (2023)
Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch
by: Liang, Hanbing, et al.
Published: (2026)
by: Liang, Hanbing, et al.
Published: (2026)
RoadFed: A Multimodal Federated Learning System for Improving Road Safety
by: Yuan, Yachao, et al.
Published: (2025)
by: Yuan, Yachao, et al.
Published: (2025)
Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems
by: Tian, Qinyi, et al.
Published: (2025)
by: Tian, Qinyi, et al.
Published: (2025)
Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
by: Lei, Yu, et al.
Published: (2025)
by: Lei, Yu, et al.
Published: (2025)
Guided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials
by: Yang, Yanyan, et al.
Published: (2024)
by: Yang, Yanyan, et al.
Published: (2024)
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
by: Lee, Doksoo, et al.
Published: (2022)
by: Lee, Doksoo, et al.
Published: (2022)
Separable Operator Networks
by: Yu, Xinling, et al.
Published: (2024)
by: Yu, Xinling, et al.
Published: (2024)
Advances in Particle Flow Filters with Taylor Expansion Series
by: Servadio, Simone
Published: (2025)
by: Servadio, Simone
Published: (2025)
DEWP: Deep Expansion Learning for Wind Power Forecasting
by: Fan, Wei, et al.
Published: (2024)
by: Fan, Wei, et al.
Published: (2024)
ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model
by: Fan, Chuanliu, et al.
Published: (2025)
by: Fan, Chuanliu, et al.
Published: (2025)
A Direct-adjoint Approach for Material Point Model Calibration with Application to Plasticity
by: Yan, Ryan, et al.
Published: (2025)
by: Yan, Ryan, et al.
Published: (2025)
Cell2Text: Multimodal LLM for Generating Single-Cell Descriptions from RNA-Seq Data
by: Kharouiche, Oussama, et al.
Published: (2025)
by: Kharouiche, Oussama, et al.
Published: (2025)
Neural Operators Can Discover Functional Clusters
by: Li, Yicen, et al.
Published: (2026)
by: Li, Yicen, et al.
Published: (2026)
Similar Items
-
Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025) -
Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
by: Jadoon, Asghar A., et al.
Published: (2025) -
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025) -
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
by: Calafà, Matteo, et al.
Published: (2024) -
Shapley Values: Paired-Sampling Approximations
by: Mayer, Michael, et al.
Published: (2025)