Cover Image

SeisGPT: A Physics-Informed Data-Driven Large Model for Real-Time Seismic Response Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meng, Shiqiao, Zhou, Ying, Zheng, Qinghua, Liao, Bingxu, Chang, Mushi, Zhang, Tianshu, Djerrad, Abderrahim
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
by: Liang, Bohan, et al.
Published: (2025)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

LR-Robot: A Unified Supervised Intelligent Framework for Real-Time Systematic Literature Reviews with Large Language Models
by: Wei, Wei, et al.
Published: (2026)

Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
by: Sanger, Morgan D., et al.
Published: (2025)

BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges
by: Simonyan, Aleksandr
Published: (2024)

Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization
by: Lutheran, Aaron, et al.
Published: (2026)

Data Assets in Governance: Evidence From Real Earnings Management
by: Yuetong Li, et al.
Published: (2025)

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)

DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining
by: Yan, Yutong, et al.
Published: (2026)

ChatGPT as a Time Capsule: The Limits of Price Discovery
by: Lehner, Sebastian, et al.
Published: (2026)

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
by: Lopez-Lira, Alejandro, et al.
Published: (2023)

Efficient calibration of the shifted square-root diffusion model to credit default swap spreads using asymptotic approximations
by: Agarwal, Ankush, et al.
Published: (2024)

StockGPT: A GenAI Model for Stock Prediction and Trading
by: Mai, Dat
Published: (2024)

Exploiting Supply Chain Interdependencies for Stock Return Prediction: A Full-State Graph Convolutional LSTM
by: Liu, Chang
Published: (2023)

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

Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity
by: He, Junyan, et al.
Published: (2024)

AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
by: Fan, Tianyu, et al.
Published: (2025)

A Prior-Predictive Monte Carlo Framework for Pricing Complex Data Products in Data-Poor Markets
by: Siemiatkowski, Adam L., et al.
Published: (2026)

The Strategic Gap: How AI-Driven Timing and Complexity Shape Investor Trust in the Age of Digital Agents
by: Neupane, Krishna
Published: (2026)

Data-driven Feynman-Kac Discovery with Applications to Prediction and Data Generation
by: Feng, Qi, et al.
Published: (2025)

BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
by: Yang, Yifei, et al.
Published: (2024)

Conditionally Identifiable Latent Representation for Multivariate Time Series with Structural Dynamics
by: Chang, Minkey, et al.
Published: (2026)

BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)

Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
by: Oddiraju, Manaswin, et al.
Published: (2024)

Data-Driven Risk Measurement by SV-GARCH-EVT Model
by: Xiao, Minheng
Published: (2022)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
by: Du, Jian, et al.
Published: (2024)

Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
by: Liu, Fang, et al.
Published: (2024)

Dynamic Spillover Effects of Climate Policy Uncertainty on Energy and Carbon Markets
by: Ying Fu, et al.
Published: (2025)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
by: Wu, Qilong, et al.
Published: (2024)

ChatGPT and Corporate Policies
by: Jha, Manish, et al.
Published: (2024)

Causal Inference in Financial Event Studies
by: Goldsmith-Pinkham, Paul, et al.
Published: (2025)

High-Precision Real-Time Pores Detection in LPBF using Thermal Energy Density (TED) Signals
by: Meng, Chuxiao, et al.
Published: (2024)

Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
by: Ichimura, Tsuyoshi, et al.
Published: (2024)

Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
by: Dave, Daksh, et al.
Published: (2025)

SABR-Informed Multitask Gaussian Process: A Synthetic-to-Real Framework for Implied Volatility Surface Construction
by: Zhuang, Jirong, et al.
Published: (2025)

Data-Driven Multiscale Topology Optimization of Soft Functionally Graded Materials with Large Deformations
by: Deng, Shiguang, et al.
Published: (2025)

Connectomics Informed by Large Language Models
by: Thompson, Elinor, et al.
Published: (2025)

Vision-Based Robotic Disassembly Combined with Real-Time MFA Data Acquisition
by: Zocco, Federico, et al.
Published: (2026)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning
by: Fan, Yuxin, et al.
Published: (2024)