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Baird, Sterling
128
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Online (128)
Mediatypes
E-Books (1)
Articles (Online) (23)
OpenAccess-fulltext (104)
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1
Determining Grain Boundary Position and Geometry from EBSD ..:
Fullwood, David T.
;
Sanderson, Sarah
;
Baird, Sterling
...
Microscopy and Microanalysis. 28 (2021) 1 - p. 96-108 , 2021
Link:
https://doi.org/10.1017/..
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2
Grain boundary structure–property model inference using pol..:
Kurniawan, Christian
;
Baird, Sterling
;
Fullwood, David T.
..
Journal of Materials Science. 55 (2019) 4 - p. 1562-1576 , 2019
Link:
https://doi.org/10.1007/..
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3
matbench-genmetrics: A Python library for benchmarkingcryst..:
Baird, Sterling G.
;
Sayeed, Hasan M.
;
Montoya, Joseph
.
Journal of Open Source Software. 9 (2024) 97 - p. 5618 , 2024
Link:
https://doi.org/10.21105..
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4
Generative adversarial networks and diffusion models in mat..:
Alverson, Michael
;
Baird, Sterling G.
;
Murdock, Ryan
...
Digital Discovery. 3 (2024) 1 - p. 62-80 , 2024
Link:
https://doi.org/10.1039/..
?
5
NLP meets materials science: Quantifying the presentation o..:
Sayeed, Hasan M.
;
Smallwood, Wade
;
Baird, Sterling G.
.
Matter. 7 (2024) 3 - p. 723-727 , 2024
Link:
https://doi.org/10.1016/..
?
6
Review of low-cost self-driving laboratories in chemistry a..:
Lo, Stanley
;
Baird, Sterling G.
;
Schrier, Joshua
...
Digital Discovery. 3 (2024) 5 - p. 842-868 , 2024
Link:
https://doi.org/10.1039/..
?
7
Building a "Hello World" for self-driving labs: The Closed-..:
Baird, Sterling G.
;
Sparks, Taylor D.
STAR Protocols. 4 (2023) 2 - p. 102329 , 2023
Link:
https://doi.org/10.1016/..
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8
Compactness matters: Improving Bayesian optimization effici..:
Baird, Sterling G.
;
Hall, Jason R.
;
Sparks, Taylor D.
Computational Materials Science. 224 (2023) - p. 112134 , 2023
Link:
https://doi.org/10.1016/..
?
9
What is missing in autonomous discovery: open challenges fo..:
Maffettone, Phillip M.
;
Friederich, Pascal
;
Baird, Sterling G.
...
Digital Discovery. 2 (2023) 6 - p. 1644-1659 , 2023
Link:
https://doi.org/10.1039/..
?
10
Materials science optimization benchmark dataset for multi-..:
Baird, Sterling G.
;
Issa, Ramsey
;
Sparks, Taylor D.
Data in Brief. 50 (2023) - p. 109487 , 2023
Link:
https://doi.org/10.1016/..
?
11
Discovering chemically novel, high-temperature superconduct..:
Seegmiller, Colton C.
;
Baird, Sterling G.
;
Sayeed, Hasan M.
.
Computational Materials Science. 228 (2023) - p. 112358 , 2023
Link:
https://doi.org/10.1016/..
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12
Computationally efficient barycentric interpolation of larg..:
Baird, Sterling G.
;
Homer, Eric R.
;
Fullwood, David T.
.
MethodsX. 9 (2022) - p. 101731 , 2022
Link:
https://doi.org/10.1016/..
?
13
DiSCoVeR: a materials discovery screening tool for high per..:
Baird, Sterling G.
;
Diep, Tran Q.
;
Sparks, Taylor D.
Digital Discovery. 1 (2022) 3 - p. 226-240 , 2022
Link:
https://doi.org/10.1039/..
?
14
What is a minimal working example for a self-driving labora..:
Baird, Sterling G.
;
Sparks, Taylor D.
Matter. 5 (2022) 12 - p. 4170-4178 , 2022
Link:
https://doi.org/10.1016/..
?
15
The sustainable materials roadmap:
Titirici, Magda
;
Baird, Sterling G
;
Sparks, Taylor D
...
Journal of Physics: Materials. 5 (2022) 3 - p. 032001 , 2022
Link:
https://doi.org/10.1088/..
1-15