Image de couverture de livre

Bayesian Co-Navigation of a Computational Physical Model and AFM Experiment to Autonomously Survey a Combinatorial Materials Library

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Slautin, Boris N., Barakati, Kamyar, Liu, Yu, Emery, Reece, Rack, Philip, Kalinin, Sergei V.
Format:	Preprint
Publié:	2025
Sujets:	Materials Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments
par: Slautin, Boris, et autres
Publié: (2026)

Sequential versus Manifold Bayesian Optimization under Realistic Experimental Time Constraints
par: Slautin, Boris, et autres
Publié: (2026)

Rewards-based image analysis in microscopy
par: Barakati, Kamyar, et autres
Publié: (2025)

PATHFINDER: Multi-objective discovery in structural and spectral spaces
par: Barakati, Kamyar, et autres
Publié: (2026)

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM
par: Barakati, Kamyar, et autres
Publié: (2025)

Materials Discovery in Combinatorial and High-throughput Synthesis and Processing: A New Frontier for SPM
par: Slautin, Boris N., et autres
Publié: (2025)

Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs
par: Barakati, Kamyar, et autres
Publié: (2026)

Physics-based reward driven image analysis in microscopy
par: Barakati, Kamyar, et autres
Publié: (2024)

Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders
par: Slautin, Boris N., et autres
Publié: (2025)

Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy
par: Pratiush, Utkarsh, et autres
Publié: (2026)

Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy
par: Slautin, Boris N., et autres
Publié: (2024)

Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning
par: Slautin, Boris N., et autres
Publié: (2024)

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments
par: Barakati, Kamyar, et autres
Publié: (2024)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
par: Raghavan, Aditya, et autres
Publié: (2024)

Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments
par: Slautin, Boris N., et autres
Publié: (2024)

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries
par: Slautin, Boris N., et autres
Publié: (2024)

SAM$^{*}$: Task-Adaptive SAM with Physics-Guided Rewards
par: Barakati, Kamyar, et autres
Publié: (2025)

From Photons to Electrons: Accelerated Materials Discovery via Random Libraries and Automated Scanning Transmission Electron Microscopy
par: Slautin, Boris, et autres
Publié: (2026)

Causal Discovery from Data Assisted by Large Language Models
par: Barakati, Kamyar, et autres
Publié: (2025)

Random Combinatorial Libraries and Automated Nanoindentation for High-Throughput Structural Materials Discovery
par: Chawla, Vivek, et autres
Publié: (2025)

DIVIDE: A Framework for Learning from Independent Multi-Mechanism Data Using Deep Encoders and Gaussian Processes
par: Chawla, Vivek, et autres
Publié: (2025)

Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants From Atomically Resolved Imaging Data
par: Kamyar Barakati, et autres
Publié: (2025)

Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data
par: Barakati, Kamyar, et autres
Publié: (2024)

Accelerated Materials Discovery through Cost-Aware Bayesian Optimization of Real-World Indentation Workflows
par: Chawla, Vivek, et autres
Publié: (2025)

Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model
par: Slautin, Boris N., et autres
Publié: (2025)

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy
par: Liu, Yu, et autres
Publié: (2025)

Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation
par: Liu, Yu, et autres
Publié: (2024)

Attention-Based Explainability for Structure-Property Relationships
par: Slautin, Boris N., et autres
Publié: (2025)

Dynamic Multiband Microscopy: A Universal Paradigm for Quantitative Nanoscale Metrology
par: Slautin, Boris N., et autres
Publié: (2026)

Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Probe Microscopy
par: Liu, Yongtao, et autres
Publié: (2023)

The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy
par: Liu, Yu, et autres
Publié: (2025)

Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Towards Fully Automated Microscopy
par: Liu, Yu, et autres
Publié: (2024)

Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores
par: Amirian, Benhour, et autres
Publié: (2025)

Computers, Learning Styles, and Instructional Materials--Are They Related?
par: Reece, Harriet Furton
Publié: (1982)

Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries
par: Liu, Yu, et autres
Publié: (2024)

Reward based optimization of resonance-enhanced piezoresponse spectroscopy
par: Liu, Yu, et autres
Publié: (2024)

SEM and AFM Studies on Micro- and Nanoindentation of Materials
par: Nazarov, M. V. - Nazarova, T. A. - Dub, S. N. - Banini, G. K
Publié: (1958)

Towards Self-Optimizing Electron Microscope: Robust Tuning of Aberration Coefficients via Physics-Aware Multi-Objective Bayesian Optimization
par: Pratiush, Utkarsh, et autres
Publié: (2026)

Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning
par: Pratiush, Utkarsh, et autres
Publié: (2024)

Simon's algorithm in the NISQ cloud
par: Robertson, Reece, et autres
Publié: (2024)