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• 2022

  Crustal thickness (H) and Vp/Vs ratio (κ) images beneath the central Tien Shan revealed by the H-κ-c method

  Cui, Q., Zhou, Y., Li, J., Song, X., Gao, Y. & Cui, R., Jan 5 2022, In: Tectonophysics. 822, 229157.

  Research output: Contribution to journal › Article › peer-review

• Cryptosporidium parvum Pyruvate Kinase Inhibitors With in vivo Anti-cryptosporidial Efficacy

  Khan, S. M., Zhang, X. & Witola, W. H., Jan 3 2022, In: Frontiers in Microbiology. 12, 800293.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Current Understanding of the Earliest Human Occupations in the Americas: Evaluation of Becerra-Valdivia and Higham (2020)

  Potter, B. A., Chatters, J. C., Prentiss, A. M., Fiedel, S. J., Haynes, G., Kelly, R. L., Kilby, J. D., Lanoë, F., Holland-Lulewicz, J., Miller, D. S., Morrow, J. E., Perri, A. R., Rademaker, K. M., Reuther, J. D., Ritchison, B. T., Sanchez, G., Sánchez-Morales, I., Spivey-Faulkner, S. M., Tune, J. W. & Haynes, C. V., 2022, In: PaleoAmerica. 8, 1, p. 62-76 15 p.

  Research output: Contribution to journal › Article › peer-review

• Curvelet Transform-based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy

  You, Q., Trzasko, J. D., Lowerison, M. R., Chen, X., Dong, Z., Sekaran, N. V. C., Llano, D. A., Chen, S. & Song, P., 2022, (Accepted/In press) In: IEEE transactions on medical imaging.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Cycler Orbits and Solar System Pony Express

  Net, M. S., Pellegrini, E., Parker, W., Hook, J. V. & Woollands, R., 2022, In: Journal of Spacecraft and Rockets. 59, 3, p. 861-870 10 p.

  Research output: Contribution to journal › Article › peer-review

• Cytochrome P450 reaction phenotyping of itraconazole hydroxylation in the dog

  Tonero, M. E., Li, Z. & Reinhart, J. M., May 2022, In: Journal of Veterinary Pharmacology and Therapeutics. 45, 3, p. 255-264 10 p.

  Research output: Contribution to journal › Article › peer-review

• Daily longitudinal sampling of SARS-CoV-2 infection reveals substantial heterogeneity in infectiousness

  Ke, R., Martinez, P. P., Smith, R. L., Gibson, L. L., Mirza, A., Conte, M., Gallagher, N., Luo, C. H., Jarrett, J., Zhou, R., Conte, A., Liu, T., Farjo, M., Walden, K. K. O., Rendon, G., Fields, C. J., Wang, L., Fredrickson, R., Edmonson, D. C., Baughman, M. E. & 19 others, Chiu, K. K., Choi, H., Scardina, K. R., Bradley, S., Gloss, S. L., Reinhart, C., Yedetore, J., Quicksall, J., Owens, A. N., Broach, J., Barton, B., Lazar, P., Heetderks, W. J., Robinson, M. L., Mostafa, H. H., Manabe, Y. C., Pekosz, A., McManus, D. D. & Brooke, C. B., May 2022, In: Nature Microbiology. 7, 5, p. 640-652 13 p.

  Research output: Contribution to journal › Article › peer-review

• Daily Microbreaks in a Self-Regulatory Resources Lens: Perceived Health Climate as a Contextual Moderator via Microbreak Autonomy

  Kim, S., Cho, S. & Park, Y. A., 2022, In: Journal of Applied Psychology. 107, 1, p. 60-77 18 p.

  Research output: Contribution to journal › Article › peer-review

• Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network

  Guo, X., Liu, X., Królczyk, G., Sulowicz, M., Glowacz, A., Gardoni, P. & Li, Z., May 3 2022, In: Sensors. 22, 9

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Dark Energy Survey Y3 results: Blending shear and redshift biases in image simulations

  MacCrann, N., Becker, M. R., McCullough, J., Amon, A., Gruen, D., Jarvis, M., Choi, A., Troxel, M. A., Sheldon, E., Yanny, B., Herner, K., Dodelson, S., Zuntz, J., Eckert, K., Rollins, R. P., Varga, T. N., Bernstein, G. M., Gruendl, R. A., Harrison, I., Hartley, W. G. & 76 others, Sevilla-Noarbe, I., Pieres, A., Bridle, S. L., Myles, J., Alarcon, A., Everett, S., Sánchez, C., Huff, E. M., Tarsitano, F., Gatti, M., Secco, L. F., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., Crocce, M., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C. & Wilkinson, R. D., Jan 1 2022, In: Monthly Notices of the Royal Astronomical Society. 509, 3, p. 3371-3394 24 p.

  Research output: Contribution to journal › Article › peer-review

• Dark energy survey year 3 results: Cosmology with peaks using an emulator approach

  Zürcher, D., Fluri, J., Sgier, R., Kacprzak, T., Gatti, M., Doux, C., Whiteway, L., Réfrégier, A., Chang, C., Jeffrey, N., Jain, B., Lemos, P., Bacon, D., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chen, R. & 102 others, Choi, A., Davis, C., Derose, J., Dodelson, S., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Harrison, I., Huterer, D., Jarvis, M., Leget, P. F., MacCrann, N., McCullough, J., Muir, J., Myles, J., Navarro Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bertin, E., Brooks, D., Burke, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F., Cawthon, R., Conselice, C., Costanzi, M., Da Costa, L., Da Silva Pereira, M. E., Davis, T., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J., Doel, P., Eckert, K., Evrard, A., Ferrero, I., Flaugher, B., Fosalba, P., Friedel, D., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D., Giannantonio, T., Gruendl, R., Gschwend, J., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M., Marshall, J., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchon, F., Pieres, A., Plazas Malagón, A., Reil, K., Rodriguez Monroy, M., Romer, K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla, I., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J. & Wilkinson, R., Apr 1 2022, In: Monthly Notices of the Royal Astronomical Society. 511, 2, p. 2075-2104 30 p.

  Research output: Contribution to journal › Article › peer-review

• Dark energy survey year 3 results: Galaxy sample for BAO measurement

  DES Collaboration, Jan 1 2022, In: Monthly Notices of the Royal Astronomical Society. 509, 1, p. 778-799 22 p.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: A 2.7% measurement of baryon acoustic oscillation distance scale at redshift 0.835

  Abbott, T. M. C., Aguena, M., Allam, S., Amon, A., Andrade-Oliveira, F., Asorey, J., Avila, S., Bernstein, G. M., Bertin, E., Brandao-Souza, A., Brooks, D., Burke, D. L., Calcino, J., Camacho, H., Carnero Rosell, A., Carollo, D., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R. & 92 others, Chan, K. C., Choi, A., Conselice, C., Costanzi, M., Crocce, M., Da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Elvin-Poole, J., Everett, S., Evrard, A. E., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Glazebrook, K., Gomes, D., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeltema, T., Kokron, N., Krause, E., Kuehn, K., Lahav, O., Lewis, G. F., Lidman, C., Lima, M., Lin, H., Maia, M. A. G., Malik, U., Martini, P., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Muir, J., Myles, J., Möller, A., Palmese, A., Paz-Chinchón, F., Percival, W. J., Pieres, A., Plazas Malagón, A. A., Porredon, A., Prat, J., Reil, K., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Sanchez, E., Sanchez Cid, D., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tucker, B. E., Tucker, D. L., Tutusaus, I., Uddin, S. A., Varga, T. N., Weller, J. & Wilkinson, R. D., Feb 15 2022, In: Physical Review D. 105, 4, 043512.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing

  DES Collaboration, Jan 1 2022, In: Monthly Notices of the Royal Astronomical Society. 509, 3, p. 3119-3147 29 p.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

  (DES Collaboration), Jan 15 2022, In: Physical Review D. 105, 2, 023514.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: Galaxy clustering and systematics treatment for lens galaxy samples

  Rodríguez-Monroy, M., Weaverdyck, N., Elvin-Poole, J., Crocce, M., Carnero Rosell, A., Andrade-Oliveira, F., Avila, S., Bechtol, K., Bernstein, G. M., Blazek, J., Camacho, H., Cawthon, R., De Vicente, J., Derose, J., Dodelson, S., Everett, S., Fang, X., Ferrero, I., Ferté, A., Friedrich, O. & 85 others, Gaztanaga, E., Giannini, G., Gruendl, R. A., Hartley, W. G., Herner, K., Huff, E. M., Jarvis, M., Krause, E., MacCrann, N., Mena-Fernández, J., Muir, J., Pandey, S., Park, Y., Porredon, A., Prat, J., Rosenfeld, R., Ross, A. J., Rozo, E., Rykoff, E. S., Sanchez, E., Sanchez Cid, D., Sevilla-Noarbe, I., Tabbutt, M., To, C., Wagoner, E. L., Wechsler, R. H., Aguena, M., Allam, S., Amon, A., Annis, J., Bacon, D., Baxter, E., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., Conselice, C., Costanzi, M., Da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Giannantonio, T., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miller, C. J., Miquel, R., Mohr, J. J., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Plazas Malagón, A. A., Roodman, A., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D. & Varga, T. N., Apr 1 2022, In: Monthly Notices of the Royal Astronomical Society. 511, 2, p. 2665-2687 23 p.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: Marginalization over redshift distribution uncertainties using ranking of discrete realizations

  Cordero, J. P., Harrison, I., Rollins, R. P., Bernstein, G. M., Bridle, S. L., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Camacho, H., Campos, A., Choi, A., Derose, J., Dodelson, S., Eckert, K., Eifler, T. F., Everett, S., Fang, X., Friedrich, O., Gruen, D. & 75 others, Gruendl, R. A., Hartley, W. G., Huff, E. M., Krause, E., Kuropatkin, N., MacCrann, N., McCullough, J., Myles, J., Pandey, S., Raveri, M., Rosenfeld, R., Rykoff, E. S., Sánchez, C., Sánchez, J., Sevilla-Noarbe, I., Sheldon, E., Troxel, M., Wechsler, R., Yanny, B., Yin, B., Zhang, Y., Aguena, M., Allam, S., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Costanzi, M., Da Costa, L., Da Silva Pereira, M. E., De Vicente, J., Diehl, H. T., Dietrich, J., Doel, P., Elvin-Poole, J., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gerdes, D., Gschwend, J., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D., Kuehn, K., Lahav, O., Maia, M. A. G., March, M., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Palmese, A., Paz-Chinchon, F., Pieres, A., Plazas Malagón, A., Sánchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M., Tarle, G., Thomas, D., To, C. & Varga, T. N., Apr 1 2022, In: Monthly Notices of the Royal Astronomical Society. 511, 2, p. 2170-2185 16 p.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing

  (DES Collaboration), Jan 15 2022, In: Physical Review D. 105, 2, 023520.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

  (DES Collaboration), Jan 15 2022, In: Physical Review D. 105, 2, 023515.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog

  Everett, S., Yanny, B., Kuropatkin, N., Huff, E. M., Zhang, Y., Myles, J., Masegian, A., Elvin-Poole, J., Allam, S., Bernstein, G. M., Sevilla-Noarbe, I., Splettstoesser, M., Sheldon, E., Jarvis, M., Amon, A., Harrison, I., Choi, A., Hartley, W. G., Alarcon, A., Sánchez, C. & 80 others, Gruen, D., Eckert, K., Prat, J., Tabbutt, M., Busti, V., Becker, M. R., Maccrann, N., Diehl, H. T., Tucker, D. L., Bertin, E., Jeltema, T., Drlica-Wagner, A., Gruendl, R. A., Bechtol, K., Rosell, A. C., Abbott, T. M. C., Aguena, M., Annis, J., Bacon, D., Bhargava, S., Brooks, D., Burke, D. L., Kind, M. C., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Da Costa, L. N., Pereira, M. E. S., De Vicente, J., Derose, J., Desai, S., Eifler, T. F., Evrard, A. E., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Krause, E., Kuehn, K., Lahav, O., Lima, M., Lin, H., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Varga, T. N., Weller, J. & Wilkinson, R. D., Jan 2022, In: Astrophysical Journal, Supplement Series. 258, 1, 15.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Dark Energy Survey Year 3 Results: Clustering redshifts - Calibration of the weak lensing source redshift distributions with redMaGiC and BOSS/eBOSS

  Gatti, M., Giannini, G., Bernstein, G. M., Alarcon, A., Myles, J., Amon, A., Cawthon, R., Troxel, M., Derose, J., Everett, S., Ross, A. J., Rykoff, E. S., Elvin-Poole, J., Cordero, J., Harrison, I., Sanchez, C., Prat, J., Gruen, D., Lin, H., Crocce, M. & 78 others, Rozo, E., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. C., Kind, M. C., Carretero, J., Castander, F. J., Choi, A., Conselice, C., Costanzi, M., Crocce, M., Da Costa, L. N., Pereira, M. E. S., Dawson, K., Desai, S., DIehl, H. T., Eckert, K., Eifler, T. F., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruendl, R. A., Gschwend, J., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., MacCrann, N., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Percival, W. J., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Rossi, G., Samuroff, S., Sanchez, E., Scarpine, V., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J. & Wilkinson, R. D., Feb 1 2022, In: Monthly Notices of the Royal Astronomical Society. 510, 1, p. 1223-1247 25 p.

  Research output: Contribution to journal › Article › peer-review

• Dark Energy Survey Year 3 Results: Deep Field optical + near-infrared images and catalogue

  Hartley, W. G., Choi, A., Amon, A., Gruendl, R. A., Sheldon, E., Harrison, I., Bernstein, G. M., Sevilla-Noarbe, I., Yanny, B., Eckert, K., Diehl, H. T., Alarcon, A., Banerji, M., Bechtol, K., Buchs, R., Cantu, S., Conselice, C., Cordero, J., Davis, C., Davis, T. M. & 98 others, Dodelson, S., Drlica-Wagner, A., Everett, S., Ferté, A., Gruen, D., Honscheid, K., Jarvis, M., Johnson, M. D., Kokron, N., MacCrann, N., Myles, J., Pace, A. B., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Plazas, A. A., Prat, J., Rodriguez-Monroy, M., Rykoff, E. S., Samuroff, S., Sánchez, C., Secco, L. F., Tarsitano, F., Tong, A., Troxel, M. A., Vasquez, Z., Wang, K., Zhou, C., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Costanzi, M., Crocce, M., Da Costa, L. N., De Vicente, J., Derose, J., Desai, S., Dietrich, J. P., Eifler, T. F., Elvin-Poole, J., Ferrero, I., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Kent, S., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lin, H., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Neilsen, E., Ogando, R. L. C., Pandey, S., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., Wester, W., Wilkinson, R. D. & Zuntz, J., Jan 1 2022, In: Monthly Notices of the Royal Astronomical Society. 509, 3, p. 3547-3579 33 p.

  Research output: Contribution to journal › Article › peer-review

• Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System

  Jafary, B., Jha, S., Fiondella, L. & K. Iyer, R., Jun 1 2022, In: IEEE Transactions on Reliability. 71, 2, p. 603-615 13 p.

  Research output: Contribution to journal › Article › peer-review

• Data-Driven approaches to optimize chemical kinetic models

  Kim, K., Wiersema, P., Ryu, J. I., Mayhew, E., Temme, J., Kweon, C. B. M. & Lee, T., 2022, AIAA SciTech Forum 2022. American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA 2022-0225. (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data

  Sagan, V., Maimaitijiang, M., Paheding, S., Bhadra, S., Gosselin, N., Burnette, M., Demieville, J., Hartling, S., Lebauer, D., Newcomb, M., Pauli, D., Peterson, K. T., Shakoor, N., Stylianou, A., Zender, C. S. & Mockler, T. C., 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys

  Pinz, M., Weber, G., Stinville, J. C., Pollock, T. & Ghosh, S., Dec 2022, In: npj Computational Materials. 8, 1, 39.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Data-Driven Modelling and Control for Robot Needle Insertion in Deep Anterior Lamellar Keratoplasty

  Edwards, W., Tang, G., Tian, Y., Draelos, M., Izatt, J., Kuo, A. & Hauser, K., Apr 2022, In: IEEE Robotics and Automation Letters. 7, 2, p. 1526-1533 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Data-Driven Railway Crosstie Support Condition Prediction Using Deep Residual Neural Network: Algorithm and Application

  Feng, B., Liu, Z., Tutumluer, E. & Huang, H., Mar 2022, Transportation Research Record. 3 ed. SAGE Publishing, p. 160-171 12 p. (Transportation Research Record; vol. 2676, no. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Decay of electrostatic charge on surfaces due solely to gas phase interactions

  Heinert, C., Sankaran, R. M. & Lacks, D. J., Jan 2022, In: Journal of Electrostatics. 115, 103663.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decentering social innovation: the value of dispersed institutes in higher education

  Lough, B. J., Jan 28 2022, In: Social Enterprise Journal. 18, 1, p. 12-27 16 p.

  Research output: Contribution to journal › Article › peer-review

• Decentralized Control of Switched Systems With Receding Horizon Modal Information and Path-Dependent Performance Specifications: Theory and an Application

  Jansch-Porto, J. P. & Dullerud, G. E., Mar 1 2022, In: IEEE Transactions on Control Systems Technology. 30, 2, p. 535-546 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decentralized Heterogeneous Multi-Player Multi-Armed Bandits with Non-Zero Rewards on Collisions

  Magesh, A. & Veeravalli, V. V., Apr 1 2022, In: IEEE Transactions on Information Theory. 68, 4, p. 2622-2634 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decentralized LQG Control with d-Step Delayed Information Sharing Pattern

  Xu, J., Zhang, H. & Basar, T., 2022, (Accepted/In press) In: IEEE Transactions on Automatic Control.

  Research output: Contribution to journal › Article › peer-review

• Decentralized Online Convex Optimization with Feedback Delays

  Cao, X. & Basar, T., Jun 1 2022, In: IEEE Transactions on Automatic Control. 67, 6, p. 2889-2904 16 p.

  Research output: Contribution to journal › Article › peer-review

• Deception in Supervisory Control

  Karabag, M. O., Ornik, M. & Topcu, U., Feb 2022, In: IEEE Transactions on Automatic Control. 67, 2, p. 738 - 753 16 p.

  Research output: Contribution to journal › Article › peer-review

• Decidability for Sturmian Words

  Hieronymi, P., Ma, D., Oei, R., Schaeffer, L., Schulz, C. & Shallit, J., Feb 1 2022, 30th EACSL Annual Conference on Computer Science Logic, CSL 2022. Manea, F. & Simpson, A. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 24. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 216).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deciphering the mechanism of the Ni-photocatalyzed C‒O cross-coupling reaction using a tridentate pyridinophane ligand

  Na, H. & Mirica, L. M., Dec 2022, In: Nature communications. 13, 1, 1313.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decision tree Thompson sampling for mining hidden populations through attributed search

  Kumar, S., Gao, H., Wang, C., Chang, K. C. C. & Sundaram, H., Dec 2022, In: Social Network Analysis and Mining. 12, 1, 6.

  Research output: Contribution to journal › Article › peer-review

• Decline machines and economic development: rust belt cities and Flint, Michigan

  Wilson, D. & Heil, M., 2022, In: Urban Geography. 43, 2, p. 163-183 21 p.

  Research output: Contribution to journal › Article › peer-review

• Decontamination of SARS-CoV-2 from cold-chain food packaging provides no marginal benefit in risk reduction to food workers

  Sobolik, J. S., Sajewski, E. T., Jaykus, L. A., Cooper, D. K., Lopman, B. A., Kraay, A. N. M., Ryan, P. B., Guest, J. L., Webb-Girard, A. & Leon, J. S., Jun 2022, In: Food Control. 136, 108845.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep learning algorithms for assessing sustainable jet fuels from two-dimensional gas chromatography

  Oh, J., Oldani, A., Lee, T. & Shafer, L., 2022, AIAA SciTech Forum 2022. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning–Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study

  Pyrros, A., Chen, A., Rodríguez-Fernández, J. M., Borstelmann, S. M., Cole, P. A., Horowitz, J., Chung, J., Nikolaidis, P., Boddipalli, V., Siddiqui, N., Willis, M., Flanders, A. E. & Koyejo, S., 2022, (Accepted/In press) In: Academic Radiology.

  Research output: Contribution to journal › Article › peer-review

• Deep Learning-Based Microbubble Localization for Ultrasound Localization Microscopy

  Chen, X., Lowerison, M. R., Dong, Z., Han, A. & Song, P., Apr 1 2022, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 69, 4, p. 1312-1325 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep Learning-Based Relation Extraction from Construction Safety Regulations for Automated Field Compliance Checking

  Wang, X. & El-Gohary, N., 2022, Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022. Jazizadeh, F., Shealy, T. & Garvin, M. J. (eds.). American Society of Civil Engineers, p. 290-297 8 p. (Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022; vol. 2-B).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning Closure of the Navier–Stokes Equations for Transitional Flows

  Macart, J. F., Sirignano, J. & Panesi, M., 2022, AIAA SciTech Forum 2022. American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA 2022-1703. (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization

  Shan, S., Luo, S., Yang, Z., Hong, J., Su, Y., Ding, F., Fu, L., Li, C., Chen, P., Ma, J., Shi, X., Zhang, Q., Berger, B., Zhang, L. & Peng, J., Mar 15 2022, In: Proceedings of the National Academy of Sciences of the United States of America. 119, 11, e2122954119.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging

  Saboo, K. V., Hu, C., Varatharajah, Y., Przybelski, S. A., Reid, R. I., Schwarz, C. G., Graff-Radford, J., Knopman, D. S., Machulda, M. M., Mielke, M. M., Petersen, R. C., Arnold, P. M., Worrell, G. A., Jones, D. T., Jack, C. R., Iyer, R. K. & Vemuri, P., May 1 2022, In: NeuroImage. 251, 119020.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep Reinforcement Learning for Autonomous Aerobraking Maneuver Planning

  Falcone, G. & Putnam, Z. R., 2022, AIAA SciTech Forum 2022. American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA 2022-2497. (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning

  Peng, X., Sutton, B. P., Lam, F. & Liang, Z. P., Apr 2022, In: Magnetic Resonance in Medicine. 87, 4, p. 1894-1902 9 p.

  Research output: Contribution to journal › Article › peer-review

• DeepUrbanDownscale: A physics informed deep learning framework for high-resolution urban surface temperature estimation via 3D point clouds

  Chen, L., Fang, B., Zhao, L., Zang, Y., Liu, W., Chen, Y., Wang, C. & Li, J., Feb 2022, In: International Journal of Applied Earth Observation and Geoinformation. 106, 102650.

  Research output: Contribution to journal › Article › peer-review

  Open Access