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Sterling G. Baird
Sterling G. Baird
Acceleration Consortium, University of Toronto
在 utoronto.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
352022
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
25*2022
What is a minimal working example for a self-driving laboratory?
SG Baird, TD Sparks
Matter 5 (12), 4170-4178, 2022
192022
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
182021
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
172022
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
12*2023
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
122023
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
92024
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
Discovering chemically novel, high-temperature superconductors
CC Seegmiller, SG Baird, HM Sayeed, TD Sparks
Computational Materials Science 228, 112358, 2023
72023
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
62022
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
62021
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
52021
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
42020
Self-Driving Laboratories for Chemistry and Materials Science
G Tom, SP Schmid, SG Baird, Y Cao, K Darvish, H Hao, S Lo, ...
32024
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
32023
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
2*2024
Materials science optimization benchmark dataset for multi-objective, multi-fidelity optimization of hard-sphere packing simulations
SG Baird, R Issa, TD Sparks
Data in Brief 50, 109487, 2023
2*2023
Structure feature vectors derived from Robocrystallographer text descriptions of crystal structures using word embeddings
HM Sayeed, SG Baird, TD Sparks
22023
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