Saved in:
| Main Authors: | Wei, Ting-Ju, Chen, Chuin-Shan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.06770 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior Prediction
by: Wei, Ting-Ju, et al.
Published: (2024)
by: Wei, Ting-Ju, et al.
Published: (2024)
A Texture-Generalizable Deep Material Network via Orientation-Aware Interaction Learning for Polycrystal Modeling and Texture Evolution
by: Wei, Ting-Ju, et al.
Published: (2025)
by: Wei, Ting-Ju, et al.
Published: (2025)
Deep Material Network: Overview, applications and current directions
by: Wei, Ting-Ju, et al.
Published: (2025)
by: Wei, Ting-Ju, et al.
Published: (2025)
Orientation-aware interaction-based deep material network in polycrystalline materials modeling
by: Wei, Ting-Ju, et al.
Published: (2025)
by: Wei, Ting-Ju, et al.
Published: (2025)
A Metric on the Polycrystalline Microstructure State Space
by: Miley, Dylan, et al.
Published: (2024)
by: Miley, Dylan, et al.
Published: (2024)
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)
GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
by: Yu, Rosen Ting-Ying, et al.
Published: (2025)
by: Yu, Rosen Ting-Ying, et al.
Published: (2025)
Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation
by: Huang, Zhen, et al.
Published: (2026)
by: Huang, Zhen, et al.
Published: (2026)
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
by: Van, Minh-Hao, et al.
Published: (2025)
by: Van, Minh-Hao, et al.
Published: (2025)
ChemFM as a Scaling Law Guided Foundation Model Pre-trained on Informative Chemicals
by: Cai, Feiyang, et al.
Published: (2024)
by: Cai, Feiyang, et al.
Published: (2024)
Data-Driven Multiscale Topology Optimization of Soft Functionally Graded Materials with Large Deformations
by: Deng, Shiguang, et al.
Published: (2025)
by: Deng, Shiguang, et al.
Published: (2025)
GELATO: Multi-Material Topology Optimization of Programmable Gel-Elastomer Structures
by: Chandrasekhar, Aaditya, et al.
Published: (2026)
by: Chandrasekhar, Aaditya, et al.
Published: (2026)
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
by: Xiao, Xi, et al.
Published: (2025)
by: Xiao, Xi, et al.
Published: (2025)
SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models
by: Polat, Can, et al.
Published: (2026)
by: Polat, Can, et al.
Published: (2026)
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
by: Wei, Yinyi, et al.
Published: (2025)
by: Wei, Yinyi, et al.
Published: (2025)
PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting
by: Yu, Runyao, et al.
Published: (2025)
by: Yu, Runyao, et al.
Published: (2025)
Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges
by: Yanglet, Xiao-Yang Liu, et al.
Published: (2025)
by: Yanglet, Xiao-Yang Liu, et al.
Published: (2025)
Crystalline Material Discovery in the Era of Artificial Intelligence
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
Detecting Information Channels in Congressional Trading via Temporal Graph Learning
by: Roodman, Benjamin Pham, et al.
Published: (2026)
by: Roodman, Benjamin Pham, et al.
Published: (2026)
Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
by: Meyer, Marcel, et al.
Published: (2024)
by: Meyer, Marcel, et al.
Published: (2024)
PRAGMA: Revolut Foundation Model
by: Ostroukhov, Maxim, et al.
Published: (2026)
by: Ostroukhov, Maxim, et al.
Published: (2026)
Image-Based RKPM for Accessing Failure Mechanisms in Composite Materials
by: Wang, Yanran, et al.
Published: (2024)
by: Wang, Yanran, et al.
Published: (2024)
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)
Unlocking Noisy Real-World Corpora for Foundation Model Pre-Training via Quality-Aware Tokenization
by: Gollwitzer, Arvid E., et al.
Published: (2026)
by: Gollwitzer, Arvid E., et al.
Published: (2026)
Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
by: Wang, Yihe, et al.
Published: (2026)
by: Wang, Yihe, et al.
Published: (2026)
TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
by: Yang, Qirong, et al.
Published: (2025)
by: Yang, Qirong, et al.
Published: (2025)
Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations
by: Zhu, Wenxing, et al.
Published: (2025)
by: Zhu, Wenxing, et al.
Published: (2025)
No Certificate, No Execution: Certified Traces as a Foundation for Trustworthy AI Agents
by: Yanglet, Xiao-Yang Liu, et al.
Published: (2026)
by: Yanglet, Xiao-Yang Liu, et al.
Published: (2026)
Mechanics Informatics: A paradigm for efficiently learning constitutive models
by: Ihuaenyi, Royal C., et al.
Published: (2025)
by: Ihuaenyi, Royal C., et al.
Published: (2025)
Designing Mechanical Meta-Materials by Learning Equivariant Flows
by: Mirramezani, Mehran, et al.
Published: (2024)
by: Mirramezani, Mehran, et al.
Published: (2024)
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)
by: Zhu, Zhuohang, et al.
Published: (2025)
Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems
by: Liu, Jiazhen, et al.
Published: (2025)
by: Liu, Jiazhen, et al.
Published: (2025)
Energy-Adaptive Checkpoint-Free Intermittent Inference for Low Power Energy Harvesting Systems
by: Islam, Sahidul, et al.
Published: (2025)
by: Islam, Sahidul, et al.
Published: (2025)
Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
by: Da, Qian, et al.
Published: (2026)
by: Da, Qian, et al.
Published: (2026)
Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity
by: Faust, Erik, et al.
Published: (2026)
by: Faust, Erik, et al.
Published: (2026)
4DGS-CC: A Contextual Coding Framework for 4D Gaussian Splatting Data Compression
by: Chen, Zicong, et al.
Published: (2025)
by: Chen, Zicong, et al.
Published: (2025)
Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modeling
by: He, Xiaolong, et al.
Published: (2026)
by: He, Xiaolong, et al.
Published: (2026)
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
by: Yadav, Akash, et al.
Published: (2026)
by: Yadav, Akash, et al.
Published: (2026)
Customized FinGPT Search Agents Using Foundation Models
by: Tian, Felix, et al.
Published: (2024)
by: Tian, Felix, et al.
Published: (2024)
Application of advanced ultrasonic testing methods to Dissimilar Metal Welds -- Comparison of simulated and experimental results
by: Gardahaut, Audrey, et al.
Published: (2024)
by: Gardahaut, Audrey, et al.
Published: (2024)
Similar Items
-
Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior Prediction
by: Wei, Ting-Ju, et al.
Published: (2024) -
A Texture-Generalizable Deep Material Network via Orientation-Aware Interaction Learning for Polycrystal Modeling and Texture Evolution
by: Wei, Ting-Ju, et al.
Published: (2025) -
Deep Material Network: Overview, applications and current directions
by: Wei, Ting-Ju, et al.
Published: (2025) -
Orientation-aware interaction-based deep material network in polycrystalline materials modeling
by: Wei, Ting-Ju, et al.
Published: (2025) -
A Metric on the Polycrystalline Microstructure State Space
by: Miley, Dylan, et al.
Published: (2024)