Cover Image

Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Slautin, Boris N., Liu, Yu, Dec, Jan, Shvartsman, Vladimir V., Lupascu, Doru C., Ziatdinov, Maxim, Kalinin, Sergei V.
Format:	Preprint
Published:	2024
Subjects:	Materials Science Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders
by: Slautin, Boris N., et al.
Published: (2025)

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

Attention-Based Explainability for Structure-Property Relationships
by: Slautin, Boris N., et al.
Published: (2025)

Sequential versus Manifold Bayesian Optimization under Realistic Experimental Time Constraints
by: Slautin, Boris, et al.
Published: (2026)

Dynamic Multiband Microscopy: A Universal Paradigm for Quantitative Nanoscale Metrology
by: Slautin, Boris N., et al.
Published: (2026)

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

Active Deep Kernel Learning of Molecular Properties: Realizing Dynamic Structural Embeddings
by: Ghosh, Ayana, et al.
Published: (2024)

Bayesian Co-Navigation of a Computational Physical Model and AFM Experiment to Autonomously Survey a Combinatorial Materials Library
by: Slautin, Boris N., et al.
Published: (2025)

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

Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Probe Microscopy
by: Liu, Yongtao, et al.
Published: (2023)

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

Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
by: Pratiush, Utkarsh, et al.
Published: (2024)

Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities
by: Biswas, Arpan, et al.
Published: (2024)

LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments
by: Slautin, Boris, et al.
Published: (2026)

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

Weakly‐coupled barium titanate stannate‐based relaxors as energy storage materials
by: Eva Kröll, et al.
Published: (2025)

Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy
by: Pratiush, Utkarsh, et al.
Published: (2026)

Rewards-based image analysis in microscopy
by: Barakati, Kamyar, et al.
Published: (2025)

Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors
by: Kenney, Michael J., et al.
Published: (2024)

Physical discovery in representation learning via conditioning on prior knowledge: applications for ferroelectric domain dynamics
by: Liu, Yongtao, et al.
Published: (2022)

PATHFINDER: Multi-objective discovery in structural and spectral spaces
by: Barakati, Kamyar, et al.
Published: (2026)

Comparing Machine Learning and Physics-Based Nanoparticle Geometry Determinations Using Far-Field Spectral Properties
by: Sun, Mengqi, et al.
Published: (2025)

Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
by: Ziatdinov, Maxim
Published: (2024)

DIVIDE: A Framework for Learning from Independent Multi-Mechanism Data Using Deep Encoders and Gaussian Processes
by: Chawla, Vivek, et al.
Published: (2025)

The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy
by: Liu, Yu, et al.
Published: (2025)

Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants From Atomically Resolved Imaging Data
by: Kamyar Barakati, et al.
Published: (2025)

Reward based optimization of resonance-enhanced piezoresponse spectroscopy
by: Liu, Yu, et al.
Published: (2024)

Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data
by: Barakati, Kamyar, et al.
Published: (2024)

Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments
by: Bulanadi, Ralph, et al.
Published: (2025)

Random Combinatorial Libraries and Automated Nanoindentation for High-Throughput Structural Materials Discovery
by: Chawla, Vivek, et al.
Published: (2025)

Active and transfer learning with partially Bayesian neural networks for materials and chemicals
by: Allec, Sarah I., et al.
Published: (2025)

Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials
by: Liu, Yongtao, et al.
Published: (2022)

Automating Nanoindentation: Optimizing Workflows for Precision and Accuracy
by: Chawla, Vivek, et al.
Published: (2025)

Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries
by: Liu, Yu, et al.
Published: (2024)

Exploring the microstructural origins of conductivity and hysteresis in metal halide perovskites via active learning driven automated scanning probe microscopy
by: Liu, Yongtao, et al.
Published: (2022)

Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms
by: Valleti, Mani, et al.
Published: (2024)

Autonomous convergence of STM control parameters using Bayesian Optimization
by: Narasimha, Ganesh, et al.
Published: (2023)

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM
by: Barakati, Kamyar, et al.
Published: (2025)

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments
by: Barakati, Kamyar, et al.
Published: (2024)

From Photons to Electrons: Accelerated Materials Discovery via Random Libraries and Automated Scanning Transmission Electron Microscopy
by: Slautin, Boris, et al.
Published: (2026)