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Materials Science

Working Paper

Materials Science Optimization Benchmark Dataset for High-dimensional, Multi-objective, Multi-fidelity Optimization of CrabNet Hyperparameters

Sterling G. Baird, Jeet N. Parikh, Taylor D. Sparks

Version 1 posted 07 March 2023

172

Downloads

Chemical Education

Working Paper

Build instructions for Closed-loop Spectroscopy Lab: Light-mixing Demo

Sterling G. Baird, Taylor D. Sparks

Version 1 posted 09 January 2023

195

Downloads

Materials Science

Working Paper

Discovering Chemically Novel, High-Temperature Superconductors

Colton C. Seegmiller, Sterling G. Baird, Hasan M. Sayeed, Taylor D. Sparks

Version 4 posted 28 June 2023

775

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Energy

Review

Review of Technical Criteria for High-Impact Battery Applications with Examples of Industry Performance

Sterling Baird

Version 1 posted 09 May 2022

264

Downloads

Materials Science

Working Paper

NLP meets Materials Science: Quantifying the presentation of materials data in scientific literature

Hasan M. Sayeed, Wade Smallwood, Sterling G. Baird, Taylor D. Sparks

Version 3 posted 29 December 2023

404

Downloads

Materials Science

Working Paper

Materials Science Optimization Benchmark Dataset for Multi-Objective, Multi-Fidelity Optimization of Hard-Sphere Packing Simulations

Sterling G. Baird, Ramsey Issa, Taylor D. Sparks

Version 2 posted 08 March 2023

293

Downloads

Chemical Education

Review

Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept

Stanley Lo, Sterling Baird, Joshua Schrier, Ben Blaiszik, Nessa Carson, Ian Foster, Andrés Aguilar-Granda, Sergei Kalinin, Benji Maruyama, Maria Politi, Helen Tran, Taylor Sparks, Alán Aspuru-Guzik

Version 2 posted 16 November 2023

1,115

Downloads

1

Citations

Materials Science

Working Paper

Structure feature vectors derived from Robocrystallographer text descriptions of crystal structures using word embeddings

Hasan M. Sayeed, Sterling G. Baird, Taylor D. Sparks

Version 1 posted 10 March 2023

301

Downloads

2

Citations

Materials Science

Review

Self-Driving Laboratories for Chemistry and Materials Science

Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo-García, Ella M. Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth-Kalthoff, Martin Seifrid, Alán Aspuru-Guzik

Version 1 posted 18 January 2024

1,369

Downloads

Theoretical and Computational Chemistry

Review

Generative adversarial networks and diffusion models in material discovery

Michael Alverson, Sterling Baird, Ryan Murdock, (Enoch) Sin-Hang Ho, Jeremy Johnson, Taylor Sparks

Version 2 posted 03 May 2023

2,711

Downloads

1

Citations

Refine Search

15 results in Sterling Baird in Authors: Sterling Baird

Materials Science Optimization Benchmark Dataset for High-dimensional, Multi-objective, Multi-fidelity Optimization of CrabNet Hyperparameters

Build instructions for Closed-loop Spectroscopy Lab: Light-mixing Demo

Discovering Chemically Novel, High-Temperature Superconductors

Review of Technical Criteria for High-Impact Battery Applications with Examples of Industry Performance

NLP meets Materials Science: Quantifying the presentation of materials data in scientific literature

Materials Science Optimization Benchmark Dataset for Multi-Objective, Multi-Fidelity Optimization of Hard-Sphere Packing Simulations

Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept

Structure feature vectors derived from Robocrystallographer text descriptions of crystal structures using word embeddings

Self-Driving Laboratories for Chemistry and Materials Science

Generative adversarial networks and diffusion models in material discovery

15 results in Authors: Sterling Baird