Image de couverture de livre

Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Slautin, Boris N., Barakati, Kamyar, Funakubo, Hiroshi, Ziatdinov, Maxim A., Shvartsman, Vladimir V., Lupascu, Doru C., Kalinin, Sergei V.
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Materials Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

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

Attention-Based Explainability for Structure-Property Relationships
par: Slautin, Boris N., 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)

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

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

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

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

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)

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

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

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

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

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

Physical discovery in representation learning via conditioning on prior knowledge: applications for ferroelectric domain dynamics
par: Liu, Yongtao, et autres
Publié: (2022)

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

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

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

Active Deep Kernel Learning of Molecular Properties: Realizing Dynamic Structural Embeddings
par: Ghosh, Ayana, et autres
Publié: (2024)

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

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

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

Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities
par: Biswas, Arpan, et autres
Publié: (2024)

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

Weakly‐coupled barium titanate stannate‐based relaxors as energy storage materials
par: Eva Kröll, et autres
Publié: (2025)

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

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

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

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

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

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

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)

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

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

Comparing Machine Learning and Physics-Based Nanoparticle Geometry Determinations Using Far-Field Spectral Properties
par: Sun, Mengqi, et autres
Publié: (2025)

Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
par: Pratiush, Utkarsh, et autres
Publié: (2024)

Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments
par: Bulanadi, Ralph, et autres
Publié: (2025)

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

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

Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials
par: Liu, Yongtao, et autres
Publié: (2022)