Copertina

Autonomous Materials Exploration by Integrating Automated Phase Identification and AI-Assisted Human Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chang, Ming-Chiang, Amsler, Maximilian, Sutherland, Duncan R., Ament, Sebastian, Gann, Katie R., Zhou, Lan, Smieska, Louisa M., Woll, Arthur R., Gregoire, John M., Gomes, Carla P., van Dover, R. Bruce, Thompson, Michael O.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Materials Science Artificial Intelligence Machine Learning Multiagent Systems Computational Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
di: Chang, Ming-Chiang, et al.
Pubblicazione: (2023)

Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
di: Concha, David Molina, et al.
Pubblicazione: (2024)

A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization
di: Paine, Tyler M., et al.
Pubblicazione: (2023)

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2025)

Agent-Based Exploration of Recommendation Systems in Misinformation Propagation
di: Jakobsen, Lise, et al.
Pubblicazione: (2025)

A CRISP-DM-based Methodology for Assessing Agent-based Simulation Models using Process Mining
di: Bemthuis, Rob H., et al.
Pubblicazione: (2024)

R3R: Decentralized Multi-Agent Collision Avoidance with Infinite-Horizon Safety
di: Vielmetti, Thomas Marshall, et al.
Pubblicazione: (2025)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2025)

A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
di: Pessoa, R. W. S., et al.
Pubblicazione: (2025)

LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
di: Aratchige, R. M., et al.
Pubblicazione: (2025)

Multi-Agent Cooperative Transportation: Optimal and Efficient Task Allocation and Path Finding
di: Zhou, Ning, et al.
Pubblicazione: (2026)

Compositionally Safe Construction of Autonomous Driving Systems
di: Bozga, Marius, et al.
Pubblicazione: (2024)

Autonomous Decision Making for Air Taxi Networks
di: Vesel, Alex
Pubblicazione: (2024)

CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration
di: Fu, Yuqian, et al.
Pubblicazione: (2024)

Steady-State Strategy Synthesis for Swarms of Autonomous Agents
di: Jonáš, Martin, et al.
Pubblicazione: (2025)

Autonomous Synchronization of Discrete-Time Heterogeneous Multiagent Systems
di: Hu, Wei, et al.
Pubblicazione: (2026)

Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
di: Hoppe, Heiko, et al.
Pubblicazione: (2023)

Counterfactual Conditional Likelihood Rewards for Multiagent Exploration
di: Aydeniz, Ayhan Alp, et al.
Pubblicazione: (2026)

Census-Based Population Autonomy For Distributed Robotic Teaming
di: Paine, Tyler M., et al.
Pubblicazione: (2025)

Adaptive bias for dissensus in nonlinear opinion dynamics with application to evolutionary division of labor games
di: Paine, Tyler M., et al.
Pubblicazione: (2024)

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
di: Liu, Zeyang, et al.
Pubblicazione: (2024)

DataStorm-EM: Exploration of Alternative Timelines within Continuous-Coupled Simulation Ensembles
di: Azad, Fahim Tasneema, et al.
Pubblicazione: (2024)

To Stand on the Shoulders of Giants: Should We Protect Initial Discoveries in Multi-Agent Exploration?
di: Lampert, Hodaya, et al.
Pubblicazione: (2025)

Asymmetric Information Enhanced Mapping Framework for Multirobot Exploration based on Deep Reinforcement Learning
di: Cheng, Jiyu, et al.
Pubblicazione: (2024)

Human-Inspired Pavlovian and Instrumental Learning for Autonomous Agent Navigation
di: Shan, Jingfeng, et al.
Pubblicazione: (2026)

Distributed Time Synchronization in NOMA-Assisted Ultra-Dense Networks
di: Goswami, Debjani, et al.
Pubblicazione: (2025)

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
di: Krupp, Lukas, et al.
Pubblicazione: (2025)

Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous
di: da Silva, Alysson Ribeiro, et al.
Pubblicazione: (2023)

Latent Space Reinforcement Learning for Multi-Robot Exploration
di: Rajasekar, Sriram, et al.
Pubblicazione: (2026)

Towards resilient cities: A hybrid simulation framework for risk mitigation through data driven decision making
di: Carraminana, David, et al.
Pubblicazione: (2025)

Enhancing healthcare infrastructure resilience through agent-based simulation methods
di: Carramiñana, David, et al.
Pubblicazione: (2025)

Sci-Mind: Cognitively-Inspired Adversarial Debate for Autonomous Mathematical Modeling
di: Jia, Junhao, et al.
Pubblicazione: (2026)

On Implementing Autonomous Supply Chains: a Multi-Agent System Approach
di: Xu, Liming, et al.
Pubblicazione: (2023)

Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets
di: Khan, Hamzah I., et al.
Pubblicazione: (2024)

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware
di: Smith, Keshawn, et al.
Pubblicazione: (2025)

Impact of Traffic-Following on Order of Autonomous Airspace Operations
di: Jain, Anahita, et al.
Pubblicazione: (2024)

Energy-Aware Collaborative Exploration for a UAV-UGV Team
di: Er, Cahit Ikbal, et al.
Pubblicazione: (2026)

LLM-Guided Decentralized Exploration with Self-Organizing Robot Teams
di: Kawashima, Hiroaki, et al.
Pubblicazione: (2026)

Agent Contracts: A Formal Framework for Resource-Bounded Autonomous AI Systems
di: Ye, Qing, et al.
Pubblicazione: (2026)

Deception and Communication in Autonomous Multi-Agent Systems: An Experimental Study with Among Us
di: Milkowski, Maria, et al.
Pubblicazione: (2026)