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Sterling G. Baird
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The sustainable materials roadmap
M Titirici, SG Baird, TD Sparks, SM Yang, A Brandt-Talbot, O Hosseinaei, ...
Journal of physics: Materials 5 (3), 032001, 2022
572022
Self-driving laboratories for chemistry and materials science
G Tom, SP Schmid, SG Baird, Y Cao, K Darvish, H Hao, S Lo, ...
Chemical Reviews 124 (16), 9633-9732, 2024
552024
Generative adversarial networks and diffusion models in material discovery
M Alverson, SG Baird, R Murdock, J Johnson, TD Sparks
Digital Discovery 3 (1), 62-80, 2024
302024
High-dimensional Bayesian optimization of 23 hyperparameters over 100 iterations for an attention-based network to predict materials property: A case study on CrabNet using Ax …
SG Baird, M Liu, TD Sparks
Computational Materials Science 211, 111505, 2022
30*2022
What is a minimal working example for a self-driving laboratory?
SG Baird, TD Sparks
Matter 5 (12), 4170-4178, 2022
252022
Five degree-of-freedom property interpolation of arbitrary grain boundaries via Voronoi fundamental zone framework
SG Baird, ER Homer, DT Fullwood, OK Johnson
Computational Materials Science 200, 110756, 2021
252021
What is missing in autonomous discovery: open challenges for the community
PM Maffettone, P Friederich, SG Baird, B Blaiszik, KA Brown, SI Campbell, ...
Digital Discovery 2 (6), 1644-1659, 2023
222023
DiSCoVeR: a materials discovery screening tool for high performance, unique chemical compositions
SG Baird, TQ Diep, TD Sparks
Digital Discovery 1 (3), 226-240, 2022
212022
Compactness matters: Improving Bayesian optimization efficiency of materials formulations through invariant search spaces
SG Baird, JR Hall, TD Sparks
Computational Materials Science 224, 112134, 2023
18*2023
Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
S Lo, SG Baird, J Schrier, B Blaiszik, N Carson, I Foster, A Aguilar-Granda, ...
Digital Discovery 3 (5), 842-868, 2024
16*2024
Discovering chemically novel, high-temperature superconductors
CC Seegmiller, SG Baird, HM Sayeed, TD Sparks
Computational Materials Science 228, 112358, 2023
92023
Data-driven materials discovery and synthesis using machine learning methods
SG Baird, M Liu, HM Sayeed, TD Sparks
Comprehensive Inorganic Chemistry III (Third Edition) 5, 3-23, 2023
92023
xtal2png: A Python package for representing crystal structure as PNG files
SG Baird, KM Jablonka, MD Alverson, HM Sayeed, MF Khan, ...
Journal of Open Source Software 7 (76), 4528, 2022
92022
Grain boundary structure-property model inference using polycrystals: The underdetermined case
BD Snow, SG Baird, C Kurniawan, DT Fullwood, ER Homer, OK Johnson
Acta Materialia 209, 116769, 2021
92021
NLP meets materials science: Quantifying the presentation of materials data in literature
HM Sayeed, W Smallwood, SG Baird, TD Sparks
Matter 7 (3), 723-727, 2024
72024
Determining grain boundary position and geometry from EBSD data: Limits of accuracy
DT Fullwood, S Sanderson, S Baird, J Christensen, ER Homer, ...
Microscopy and Microanalysis 28 (1), 96-108, 2022
72022
Inference and uncertainty propagation of GB structure-property models: H diffusivity in [100] tilt GBs in Ni
OK Johnson, ER Homer, DT Fullwood, DE Page, KF Varela, SG Baird
Acta Materialia 215, 116967, 2021
72021
Grain boundary structure–property model inference using polycrystals: the overdetermined case
C Kurniawan, S Baird, DT Fullwood, ER Homer, OK Johnson
Journal of materials science 55 (4), 1562-1576, 2020
72020
Building a “Hello World” for self-driving labs: The Closed-loop Spectroscopy Lab Light-mixing demo
SG Baird, TD Sparks
STAR protocols 4 (2), 102329, 2023
62023
Structure feature vectors derived from Robocrystallographer text descriptions of crystal structures using word embeddings
HM Sayeed, SG Baird, TD Sparks
62023
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Artikelen 1–20