Cover Image

AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Qile, Karniadakis, George
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
by: Ma, Pingchuan, et al.
Published: (2024)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)

XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
by: Wei, Jiawen, et al.
Published: (2025)

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

SciNav: A General Agent Framework for Scientific Coding Tasks
by: Zhang, Tianshu, et al.
Published: (2026)

AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
by: Elrefaie, Mohamed, et al.
Published: (2025)

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
by: Yang, Zonglin, et al.
Published: (2025)

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)

Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
by: Nourollah, Amir Masoud, et al.
Published: (2026)

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)

LLM-guided Chemical Process Optimization with a Multi-Agent Approach
by: Zeng, Tong, et al.
Published: (2025)

Robust Time Series Causal Discovery for Agent-Based Model Validation
by: Yu, Gene, et al.
Published: (2024)

Instructor-inspired Machine Learning for Robust Molecular Property Prediction
by: Wu, Fang, et al.
Published: (2023)

Knowledge-guided Machine Learning: Current Trends and Future Prospects
by: Karpatne, Anuj, et al.
Published: (2024)

Case-Guided Sequential Assay Planning in Drug Discovery
by: Chen, Tianchi, et al.
Published: (2026)

Topic Modeling and Link-Prediction for Material Property Discovery
by: Barron, Ryan C., et al.
Published: (2025)

Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery
by: Barua, Biman, et al.
Published: (2024)

A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
by: Zola, Francesco, et al.
Published: (2025)

CoFEE: Reasoning Control for LLM-Based Feature Discovery
by: Westermann, Maximilian, et al.
Published: (2026)

Orchestration Framework for Financial Agents: From Algorithmic Trading to Agentic Trading
by: Li, Jifeng, et al.
Published: (2025)

DeepFEA: Deep Learning for Prediction of Transient Finite Element Analysis Solutions
by: Triantafyllou, Georgios, et al.
Published: (2024)

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis
by: Qiu, Zhisong, et al.
Published: (2026)

VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery
by: Yu, Gene, et al.
Published: (2026)

FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting
by: Obermeier, Marco, et al.
Published: (2026)

Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning
by: Jimenez-Roa, Lisandro A., et al.
Published: (2024)

Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems
by: Shi, Jiasheng, et al.
Published: (2024)

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
by: Li, Ruikun, et al.
Published: (2025)

Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model
by: Alruqimi, Mohammed, et al.
Published: (2024)

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments
by: Edward, et al.
Published: (2024)

DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
by: Jiang, Qile, et al.
Published: (2025)

RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
by: Dai, Weichen, et al.
Published: (2025)

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
by: Zhang, Qian, et al.
Published: (2025)

Sparse Computations in Deep Learning Inference
by: Tasou, Ioanna, et al.
Published: (2025)

Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation
by: Ajayakumar, Abhishek, et al.
Published: (2023)

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
by: Grbcic, Luka, et al.
Published: (2025)

ABM-UDE: Developing Surrogates for Epidemic Agent-Based Models via Scientific Machine Learning
by: Murgai, Sharv, et al.
Published: (2026)

Neuro-Symbolic ODE Discovery with Latent Grammar Flow
by: Yu, Karin, et al.
Published: (2026)

Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)

Surface-based Molecular Design with Multi-modal Flow Matching
by: Wu, Fang, et al.
Published: (2026)

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)