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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

338

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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

558

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Materials Science

Working Paper

Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization

Ramsey Issa, Robert Sorenson, Taylor D. Sparks

Version 1 posted 17 May 2024

165

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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

1,026

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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

441

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2

Citations

Materials Chemistry

Working Paper

Integration of generative machine learning with the heuristic crystal structure prediction code FUSE

Christopher M. Collins, Hasan M. Sayeed, George R. Darling, John B. Claridge, Taylor D. Sparks, Matthew J. Rosseinsky

Version 1 posted 20 December 2023

366

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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

222

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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

244

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Materials Science

Working Paper

Compactness Matters: Improving Bayesian Optimization Efficiency of Materials Formulations through Invariant Search Spaces

Sterling Baird, Jason R. Hall, Taylor D. Sparks

Version 3 posted 03 February 2023

1,154

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Materials Science

Working Paper

Comparing Transfer Learning to Feature Optimization in Microstructure Classification

Debanshu Banerjee, Taylor D. Sparks

Version 2 posted 23 August 2021

623

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13 results in Taylor D. Sparks in Authors: Taylor D. Sparks

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

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

Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization

Discovering Chemically Novel, High-Temperature Superconductors

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

Integration of generative machine learning with the heuristic crystal structure prediction code FUSE

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

Compactness Matters: Improving Bayesian Optimization Efficiency of Materials Formulations through Invariant Search Spaces

Comparing Transfer Learning to Feature Optimization in Microstructure Classification

13 results in Authors: Taylor D. Sparks