Zobrazeno 1 - 10
of 16 073
pro vyhledávání: '"Taylor, A. S."'
Autor:
Taylor, Samuel S., Scherrer, Robert J.
We examine several dark energy models with a time-varying equation of state parameter, $w(z)$, to determine what information can be derived by fitting the distance modulus in such models to a constant equation of state parameter, $w_*$. We derive $w_
Externí odkaz:
http://arxiv.org/abs/2412.08766
This study investigates the influence of quantum effects on Coulomb explosion dynamics using time-dependent density functional theory (TDDFT) simulations, comparing classical, semi-classical, and quantum approaches. The goal is to elucidate how elect
Externí odkaz:
http://arxiv.org/abs/2412.06680
Time-dependent density-functional theory simulations are performed to examine the effects of varying incident points and kinetic energies of hydrogen atom projectiles on a graphene-like structure. The simulations reveal that the incident point signif
Externí odkaz:
http://arxiv.org/abs/2412.06939
Autor:
Mogyorosi, Karoly, Toth, Balint, Sarosi, Krisztina, Gilicze, Barnabas, Csontos, Janos, Somoskoi, Tamas, Toth, Szabolcs, Geetha, Prabhash Prasannan, Toth, Laszlo, Taylor, Samuel S., Skoufis, Nicholas, Barron, Liam, Varga, Kalman, Covington, Cody, Chikan, Viktor
We experimentally studied the formation of CH(A) radicals in butane seeded plasma generated with chirp-controlled ultrashort laser pulses (\(\sim 760 \, \mu \text{J}/\text{pulse}\), 890 nm, 1 kHz, 8 fs). The focused beam with high peak intensity (\(\
Externí odkaz:
http://arxiv.org/abs/2410.18121
Fragmentation dynamics in the Coulomb explosion of hydrocarbons, specifically methane, ethane, propane, and butane, are investigated using time dependent density functional theory (TDDFT) simulations. The goal of this work is to elucidate the distrib
Externí odkaz:
http://arxiv.org/abs/2410.07256
Autor:
Homan, Christopher M., Serapio-Garcia, Greg, Aroyo, Lora, Diaz, Mark, Parrish, Alicia, Prabhakaran, Vinodkumar, Taylor, Alex S., Wang, Ding
Conversational AI systems exhibit a level of human-like behavior that promises to have profound impacts on many aspects of daily life -- how people access information, create content, and seek social support. Yet these models have also shown a propen
Externí odkaz:
http://arxiv.org/abs/2306.11530
Autor:
Aroyo, Lora, Taylor, Alex S., Diaz, Mark, Homan, Christopher M., Parrish, Alicia, Serapio-Garcia, Greg, Prabhakaran, Vinodkumar, Wang, Ding
Machine learning approaches often require training and evaluation datasets with a clear separation between positive and negative examples. This risks simplifying and even obscuring the inherent subjectivity present in many tasks. Preserving such vari
Externí odkaz:
http://arxiv.org/abs/2306.11247
Autor:
Bresnahan, Rebecca, Copley, Sue, Eldabe, Sam, Thomson, Simon, North, Richard B., Baranidharan, Ganesan, Levy, Robert M., Collins, Gary S., Taylor, Rod S., Duarte, Rui V.
Publikováno v:
In eClinicalMedicine December 2024 78
Autor:
Duarte, Rui V., Bresnahan, Rebecca, Copley, Sue, Eldabe, Sam, Thomson, Simon, North, Richard B., Baranidharan, Ganesan, Levy, Robert M., Collins, Gary S., Taylor, Rod S.
Publikováno v:
In eClinicalMedicine December 2024 78
Autor:
Watkins, Edward R *, Warren, Fiona C, Newbold, Alexandra, Hulme, Claire, Cranston, Timothy, Aas, Benjamin, Bear, Holly, Botella, Cristina, Burkhardt, Felix, Ehring, Thomas, Fazel, Mina, Fontaine, Johnny R J, Frost, Mads, Garcia-Palacios, Azucena, Greimel, Ellen, Hößle, Christiane, Hovasapian, Arpine, Huyghe, Veerle E I, Karpouzis, Kostas, Löchner, Johanna, Molinari, Guadalupe, Pekrun, Reinhard, Platt, Belinda, Rosenkranz, Tabea, Scherer, Klaus R, Schlegel, Katja, Schuller, Bjorn W, Schulte-Korne, Gerd, Suso-Ribera, Carlos, Voigt, Varinka, Voß, Maria, Taylor, Rod S
Publikováno v:
In The Lancet Digital Health December 2024 6(12):e904-e913