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Title: A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering

Journal Article · · Scientific Reports

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)
Grant/Contract Number:
SC0012704; AC02-05CH11231
OSTI ID:
1619572
Alternate ID(s):
OSTI ID: 1558244; OSTI ID: 1580907; OSTI ID: 1661648
Report Number(s):
BNL-211994-2019-JAAM; BNL-219838-2020-JAAM; 11809; PII: 48114
Journal Information:
Scientific Reports, Journal Name: Scientific Reports Vol. 9 Journal Issue: 1; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 45 works
Citation information provided by
Web of Science

References (20)

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Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments journal April 2018
Gaussian Processes for Machine Learning journal April 2004
Accelerating materials property predictions using machine learning journal September 2013
Thickness-Dependent Ordering Kinetics in Cylindrical Block Copolymer/Homopolymer Ternary Blends journal December 2018
Beyond native block copolymer morphologies journal January 2017
Rapid Ordering in “Wet Brush” Block Copolymer/Homopolymer Ternary Blends journal October 2016
Optimization of a Carbon Dioxide-Assisted Nanoparticle Deposition Process Using Sequential Experimental Design with Adaptive Design Space journal March 2012
Accelerated search for materials with targeted properties by adaptive design journal April 2016
X-Ray Photon Correlation Spectroscopy Study of Brownian Motion of Gold Colloids in Glycerol journal July 1995
Dynamic X-ray diffraction sampling for protein crystal positioning journal January 2017
Adaptive Strategies for Materials Design using Uncertainties journal January 2016
Autonomy in materials research: a case study in carbon nanotube growth journal October 2016
How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics journal July 2018
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets journal September 2014
A Supervised Learning Approach for Dynamic Sampling journal February 2016
Statistical inference and adaptive design for materials discovery journal June 2017
Perspective: Codesign for materials science: An optimal learning approach journal April 2016
XPCS: Nanoscale motion and rheology journal February 2012
Formula for the Viscosity of a Glycerol−Water Mixture journal May 2008

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