:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zou, Junhong, Qiu, Wei, Sun, Zhenxu, Zhang, Xiaomei, Zhang, Zhaoxiang, Zhu, Xiangyu
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science
Online Access:	https://arxiv.org/abs/2601.07139
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniField: Joint Multi-Domain Training for Universal Surface Pressure Modeling
by: Zou, Junhong, et al.
Published: (2025)

GA-Field: Geometry-Aware Vehicle Aerodynamic Field Prediction
by: Zheng, Zhenhua, et al.
Published: (2026)

Wavelet-Optimized Motion Artifact Correction in 3D MRI Using Pre-trained 2D Score Priors
by: Zhang, Genyuan, et al.
Published: (2025)

Corrected Riemann smoothed particle hydrodynamics method for multi-resolution fluid-structure interaction
by: Zhang, Bo, et al.
Published: (2025)

Physics-Informed Learning of Flow Distribution and Receiver Heat Losses in Parabolic Trough Solar Fields
by: Matthes, Stefan, et al.
Published: (2025)

Quantum Optimization for Electromagnetics: Physics-Informed QAOA for Reconfigurable Intelligent Surfaces
by: Pasquale, Marco, et al.
Published: (2026)

Pre-training Time Series Models with Stock Data Customization
by: Wang, Mengyu, et al.
Published: (2025)

ChemFM as a Scaling Law Guided Foundation Model Pre-trained on Informative Chemicals
by: Cai, Feiyang, et al.
Published: (2024)

A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks
by: Zhang, Ziyang, et al.
Published: (2025)

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
by: Zhang, Yi, et al.
Published: (2025)

Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods
by: Ding, Hongcheng, et al.
Published: (2024)

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
by: Farea, Afrah, et al.
Published: (2025)

Target-driven splitting SPH optimization of thermal conductivity distribution
by: Zhang, Bo, et al.
Published: (2023)

Flow Field Reconstruction with Sensor Placement Policy Learning
by: Li, Ruoyan, et al.
Published: (2026)

Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
by: Lei, Yu, et al.
Published: (2025)

Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems
by: Rosen, et al.
Published: (2024)

Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
by: Chen, Zeyu, et al.
Published: (2025)

Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
by: Bhatnagar, Saakaar, et al.
Published: (2023)

Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed Adaptation
by: Wang, Zihao, et al.
Published: (2024)

A multi-order smoothed particle hydrodynamics method for cardiac electromechanics with the Purkinje network
by: Zhang, Chi, et al.
Published: (2021)

Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
by: Wong, Jian Cheng, et al.
Published: (2023)

Physics-Informed Diffusion Models
by: Bastek, Jan-Hendrik, et al.
Published: (2024)

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
by: Abbasi, Jassem, et al.
Published: (2024)

Multi-level datasets training method in Physics-Informed Neural Networks
by: Tsai, Yao-Hsuan, et al.
Published: (2025)

D-Flow: Multi-modality Flow Matching for D-peptide Design
by: Wu, Fang, et al.
Published: (2024)

Transferable Physics-Informed Representations via Closed-Form Head Adaptation
by: Wong, Jian Cheng, et al.
Published: (2026)

A Dual Physics-Informed Kolmogorov-Arnold Neural Network Framework for Continuum Topology Optimization
by: Zhang, Junyuan, et al.
Published: (2026)

Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
by: Wu, Feng, et al.
Published: (2024)

Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels
by: Zhao, Chenxi, et al.
Published: (2025)

A generalized essentially non-hourglass total Lagrangian SPH solid dynamics
by: Wu, Dong, et al.
Published: (2024)

Heat transfer simulation of window frames with SPHinXsys
by: Ji, Haotian, et al.
Published: (2025)

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach
by: Zhang, Qian, et al.
Published: (2026)

Physics-driven complex relaxation for multi-body systems of SPH method
by: Zhao, Chenxi, et al.
Published: (2024)

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
by: Shenoy, Dhanush Vittal, et al.
Published: (2026)

An efficient truncation scheme for Eulerian and total Lagrangian SPH methods
by: Wang, Zhentong, et al.
Published: (2024)

Essentially non-hourglass and non-tensile-instability SPH elastic dynamics
by: Zhang, Shuaihao, et al.
Published: (2023)

Signal Classification Recovery Across Domains Using Unsupervised Domain Adaptation
by: Ali, Mohammad, et al.
Published: (2025)

zkFinGPT: Zero-Knowledge Proofs for Financial Generative Pre-trained Transformers
by: Liu, Xiao-Yang, et al.
Published: (2026)