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Autonomous synthesis of metastable materials
v1v2 (latest)

Autonomous synthesis of metastable materials

Science Advances (Sci Adv), 2021
19 January 2021
Sebastian Ament
M. Amsler
Duncan R. Sutherland
Ming-Chiang Chang
D. Guevarra
Aine B. Connolly
J. Gregoire
Michael O Thompson
Daniel Schwalbe-Koda
R. B. Dover
ArXiv (abs)PDFHTML

Papers citing "Autonomous synthesis of metastable materials"

15 / 15 papers shown
Title
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Latent Bayesian Optimization via Autoregressive Normalizing FlowsInternational Conference on Learning Representations (ICLR), 2025
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
H. Kim
BDL
269
10
0
21 Apr 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Unexpected Improvements to Expected Improvement for Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2023
Sebastian Ament
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
304
142
0
08 Jan 2025
Robust Gaussian Processes via Relevance Pursuit
Robust Gaussian Processes via Relevance PursuitNeural Information Processing Systems (NeurIPS), 2024
Sebastian Ament
Elizabeth Santorella
David Eriksson
Ben Letham
Maximilian Balandat
E. Bakshy
GP
256
6
0
08 Jan 2025
A Machine Learning Approach Capturing Hidden Parameters in Autonomous
  Thin-Film Deposition
A Machine Learning Approach Capturing Hidden Parameters in Autonomous Thin-Film Deposition
Yuanlong Zheng
Connor Blake
Layla Mravac
Fengxue Zhang
Yuxin Chen
Shuolong Yang
190
0
0
27 Nov 2024
Inversion-based Latent Bayesian Optimization
Inversion-based Latent Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2024
Jaewon Chu
Jinyoung Park
Seunghun Lee
H. Kim
BDL
185
11
0
08 Nov 2024
Real-time experiment-theory closed-loop interaction for autonomous
  materials science
Real-time experiment-theory closed-loop interaction for autonomous materials scienceScience Advances (Sci Adv), 2024
Haotong Liang
Chuangye Wang
Heshan Yu
Dylan Kirsch
Rohit K. Pant
A. McDannald
A. Kusne
Ji-Cheng Zhao
Ichiro Takeuchi
193
5
0
22 Oct 2024
Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint
Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint
Yongchao Chen
168
0
0
17 Nov 2023
Learning material synthesis-process-structure-property relationship by
  data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function
  Learning
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning
A. Kusne
A. McDannald
Brian L. DeCost
191
2
0
10 Nov 2023
Sustainable Concrete via Bayesian Optimization
Sustainable Concrete via Bayesian Optimization
Sebastian Ament
Andrew Witte
Nishant Garg
Julius Kusuma
111
5
0
27 Oct 2023
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
Felix Adams
A. McDannald
Ichiro Takeuchi
Gilad Kusne
156
10
0
17 Jun 2023
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials
  Discovery
M2^22Hub: Unlocking the Potential of Machine Learning for Materials DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Yuanqi Du
Yingheng Wang
Yin-Hua Huang
Jianan Canal Li
Yanqiao Zhu
T. Xie
Chenru Duan
J. Gregoire
Daniel Schwalbe-Koda
159
11
0
14 Jun 2023
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials
  Data
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials DataApplied Physics Reviews (APR), 2022
Hengrui Zhang
Wei Chen
J. Rondinelli
Wei Chen
AI4CE
197
20
0
15 Nov 2022
Active learning-assisted neutron spectroscopy with log-Gaussian
  processes
Active learning-assisted neutron spectroscopy with log-Gaussian processesNature Communications (Nat Commun), 2022
Mario Teixeira Parente
G. Brandl
C. Franz
U. Stuhr
M. Ganeva
A. Schneidewind
146
12
0
02 Sep 2022
Scalable Multi-Agent Lab Framework for Lab Optimization
Scalable Multi-Agent Lab Framework for Lab Optimization
A. Kusne
A. McDannald
147
24
0
19 Aug 2022
Tackling Data Scarcity with Transfer Learning: A Case Study of Thickness
  Characterization from Optical Spectra of Perovskite Thin Films
Tackling Data Scarcity with Transfer Learning: A Case Study of Thickness Characterization from Optical Spectra of Perovskite Thin FilmsDigital Discovery (DD), 2022
S. Tian
Zekun Ren
S. Venkataraj
Y. Cheng
Daniil Bash
...
F. G. L. Parlane
C. Berlinguette
Qianxiao Li
Tonio Buonassisi
Zhe Liu
166
3
0
14 Jun 2022
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