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Taylor D. Sparks

Utah System of Higher Education

35H-index
273Paper Count
5.8KCitation Count
Published Papers 88
Publication Date
Data-Driven Electrochemistry Reveals the Impact of Hydrophobicity on Aptamer Cross-Reactivity
err2026-05-20
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errOAAI
errEmily Carroll; Michael A. Pence; Elizabeth Winterholler; Taylor D. Sparks; Shelley D. Minteer
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2026 roadmap toward sustainable thermoelectrics
err2026-03-31
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PREAI
errBos, Jan-Willem G.; Mohanty, Trupti; Sparks, Taylor D.; Xie, Wenjie; Weidenkaff, Anke; Grasso, Salvatore; Zhang, Ruizhi; Reece, Michael J.; Wang, Teng; Son, Jae Sung; Akbar, Samina; Nandhakumar, Iris; Tuley, Richard; Koz, Cevriye; He, Ran; Ying, Pingjun; Bahrami, Amin; Pacheco, Vicente; Nielsch, Kornelius; Grau-Crespo, Ricardo; Antunes, Luis M.; Butler, Keith T.; Neophytou, Neophytos; Dutt, Rajeev; Sahni, Bhawna; Chauhan, Nagendra Singh; Mori, Takao; Parzer, M.; Garmroudi, F.; Riss, A.; Bauer, E.; Zeng, Chongyang; Bilotti, Emiliano; You, Chang; Fenwick, Oliver; Vaqueiro, Paz; Guilmeau, Emmanuel; Das, Animesh; Biswas, Kanishka; Liu, Yu; Fu, Chenguang; Zhu, Tiejun; Rogl, Gerda; Rogl, Peter; Mangelis, Panagiotis; Kyratsi, Theodora; Funahashi, Ryoji
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CrysText: A Generative AI Approach for Text-Conditioned Crystal Structure Generation Using LLM
err2026-03-01
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PREAI
errMohanty, Trupti; Mehta, Maitrey; Sayeed, Hasan M.; El Oded, Bat; Pitussi, Itay; Borenstein, Arie; Srikumar, Vivek; Sparks, Taylor D.
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Systematically Verified Experimental Thermoelectric Dataset For Data-driven Approaches
err2026-03-01
err1
PREAI
errTang, Leng Ze; Purdy, Layla; Mohanty, Trupti; Ng, Leonard W. T.; Sparks, Taylor D.
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Sample-efficient active learning for materials informatics using integrated posterior variance
err2026-02-09
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errOAAI
errRamsey Issa; Said Hamad; Ricardo Grau-Crespo; Emad Awad; Taylor D. Sparks
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Capturing local compositional fluctuations in NMR modelling of solid solutions
err2025-10-23
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errOAAI
errRicardo Grau-Crespo; Said Hamad; Salvador R. G. Balestra; Ramsey Issa; Taylor D. Sparks; Arantxa Fernandes; Ben L. Griffiths; Robert F. Moran; David McKay; Sharon E. Ashbrook
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Integration of generative machine learning with the heuristic crystal structure prediction code FUSE
err2025-01-01
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errOAAI
errCollins, Christopher M.; Sayeed, Hasan M.; Darling, George R.; Claridge, John B.; Sparks, Taylor D.; Rosseinsky, Matthew J.
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Sampling latent material-property information from LLM-derived embedding representations
err2024-12-01
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errOAAI
errGilligan, Luke P. J.; Cobelli, Matteo; Sayeed, Hasan M.; Sparks, Taylor D.; Sanvito, Stefano
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Insights and Innovations from the SSMCDAT 2023: Bridging Solid-State Materials Chemistry and Data Science
err2024-06-11
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errOAAI
errSparks, Taylor D.; Curtis, Frank E.; Fredrickson, Daniel C.; Benedek, Nicole A.
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NLP meets materials science: Quantifying the presentation of materials data in literature
errMATTER
IF17.5
err2024-03-01
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PREAI
errSayeed, Hasan M.; Smallwood, Wade; Baird, Sterling G.; Sparks, Taylor D.
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Generative adversarial networks and diffusion models in material discovery
err2024-01-01
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errOAAI
errAlverson, Michael; Baird, Sterling G.; Murdock, Ryan; Ho, (Enoch) Sin-Hang; Johnson, Jeremy; Sparks, Taylor D.
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Review of low-cost self-driving laboratories in chemistry and materials science: the frugal twin concept
err2024-01-01
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errOAAI
errLo, Stanley; Baird, Sterling G.; Schrier, Joshua; Blaiszik, Ben; Carson, Nessa; Foster, Ian; Aguilar-Granda, Andres; Kalinin, Sergei V.; Maruyama, Benji; Politi, Maria; Tran, Helen; Sparks, Taylor D.; Aspuru-Guzik, Alan
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Not as simple as we thought: a rigorous examination of data aggregation in materials informatics
err2024-01-01
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errOAAI
errOttomano, Federico; De Felice, Giovanni; Gusev, Vladimir V.; Sparks, Taylor D.
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Tales from Sabbatical III: Coming home
errMATTER
IF17.5
err2023-12-01
err0
PREAI
errSparks, Taylor D.
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Discovering chemically novel, high-temperature superconductors
err2023-09-01
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errOAAI
errSeegmiller, Colton C.; Baird, Sterling G.; Sayeed, Hasan M.; Sparks, Taylor D.
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