Multimodal Co-orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization-Reference-Cited by-同舟云学术

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Multimodal Co-orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization

Published:2024-07 Issue:Supplement_1 Volume:30 Page:
ISSN:1431-9276
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Kalinin Sergei V¹²,Slautin Boris N³,Pratiush Utkarsh²,Ivanov Ilia N⁴,Liu Yongtao⁴,Pant Rohit⁵,Zhang Xiaohang⁵,Takeuchi Ichiro⁵,Ziatdinov Maxim A²

Affiliation:

1. Department of Materials Science and Engineering, University of Tennessee , Knoxville, TN , United States

2. Pacific Northwest National Laboratory , Richland, WA , United States

3. Independent researcher , Belgrade , Serbia

4. Center for Nanophase Materials Sciences, Oak Ridge National Laboratory , Oak Ridge, TN , United States

5. Department of Materials Science and Engineering, University of Maryland , College Park, MD , United States

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/mam/article-pdf/30/Supplement_1/ozae044.157/58671829/ozae044.157.pdf

Reference5 articles.

1. Recent advances in autonomous synthesis of materials

2. Combinatorial synthesis for AI-driven materials discovery

3. Bayesian Active Learning for Scanning Probe Microscopy: From Gaussian Processes to Hypothesis Learning

4. Dual strain mechanisms in a lead-free morphotropic phase boundary ferroelectric

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evolution of Ferroelectric Properties in Sm_xBi_1–xFeO₃ via Automated Piezoresponse Force Microscopy across combinatorial spread libraries;ACS Nano;2024-09-06

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