Cover Image

Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Slautin, Boris N., Pratiush, Utkarsh, Lupascu, Doru C., Ziatdinov, Maxim A., Kalinin, Sergei V.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Materials Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

Rewards-based image analysis in microscopy
by: Barakati, Kamyar, 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)

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

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

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

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

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

Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope
by: Pratiush, Utkarsh, et al.
Published: (2024)

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

Towards Self-Optimizing Electron Microscope: Robust Tuning of Aberration Coefficients via Physics-Aware Multi-Objective Bayesian Optimization
by: Pratiush, Utkarsh, et al.
Published: (2026)

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

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)

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

Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning
by: Pratiush, Utkarsh, et al.
Published: (2024)

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments
by: Barakati, Kamyar, 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)

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

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

Comparing Machine Learning and Physics-Based Nanoparticle Geometry Determinations Using Far-Field Spectral Properties
by: Sun, Mengqi, 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)

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

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)

AI-assisted Human-in-the-Loop Web Platform for Structural Characterization in Hard drive design
by: Pratiush, Utkarsh, et al.
Published: (2026)

Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization behaviors in multiferroic Sm-doped BiFeO3
by: Ziatdinov, Maxim, et al.
Published: (2020)

Evolution of ferroelectric properties in SmxBi1-xFeO3 via automated Piezoresponse Force Microscopy across combinatorial spread libraries
by: Raghavan, Aditya, et al.
Published: (2024)

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

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

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy
by: Liu, Yu, et al.
Published: (2025)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
by: Raghavan, Aditya, et al.
Published: (2024)

SAM$^{*}$: Task-Adaptive SAM with Physics-Guided Rewards
by: Barakati, Kamyar, et al.
Published: (2025)

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

Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation
by: Liu, Yu, et al.
Published: (2024)

Unsupervised learning of ferroic variants from atomically resolved STEM images
by: Valleti, Mani, et al.
Published: (2021)

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