Zobrazeno 1 - 10
of 503
pro vyhledávání: '"Sharma Vidushi"'
Autor:
Sharma, Vidushi, Tek, Andy, Nguyen, Khanh, Giammona, Max, Zohair, Murtaza, Sundberg, Linda, La, Young-Hye
Higher loading of active electrode materials is desired in batteries, especially those based on conversion reactions, for enhanced energy density and cost efficiency. However, increasing active material loading in electrodes can cause significant per
Externí odkaz:
http://arxiv.org/abs/2409.01989
Autor:
Sharma, Vidushi, White, Alexander J.
The average ionization state is a critical parameter in plasma models for charged particle transport, equation of state, and optical response. The dynamical or nonadiabatic Born effective charge (NBEC), calculated via first principles time-dependent
Externí odkaz:
http://arxiv.org/abs/2408.16230
Autor:
Priyadarsini, Indra, Sharma, Vidushi, Takeda, Seiji, Kishimoto, Akihiro, Hamada, Lisa, Shinohara, Hajime
Development of efficient and high-performing electrolytes is crucial for advancing energy storage technologies, particularly in batteries. Predicting the performance of battery electrolytes rely on complex interactions between the individual constitu
Externí odkaz:
http://arxiv.org/abs/2406.19792
Publikováno v:
Phys. Plasmas 31, 042706 (2024)
Predicting the charged particle transport properties of warm dense matter / hot dense plasma mixtures is a challenge for analytical models. High accuracy ab initio methods are more computationally expensive, but can provide critical insight by explic
Externí odkaz:
http://arxiv.org/abs/2404.07800
Autor:
Fryer, Christopher L., Keiter, Paul A., Sharma, Vidushi, Leveillee, Joshua, Meyerhofer, D. D., Barnak, D. H., Byvank, Tom, Elshafiey, A. T., Fontes, Christopher J., Johns, Heather M., Kozlowski, P. M., Urbatsch, Todd
Radiation flow through an inhomogeneous medium is critical in a wide range of physics and astronomy applications from transport across cloud layers on the earth to the propagation of supernova blast-waves producing UV and X-ray emission in supernovae
Externí odkaz:
http://arxiv.org/abs/2312.16677
Autor:
Alexeev, Yuri, Amsler, Maximilian, Baity, Paul, Barroca, Marco Antonio, Bassini, Sanzio, Battelle, Torey, Camps, Daan, Casanova, David, Choi, Young Jai, Chong, Frederic T., Chung, Charles, Codella, Chris, Corcoles, Antonio D., Cruise, James, Di Meglio, Alberto, Dubois, Jonathan, Duran, Ivan, Eckl, Thomas, Economou, Sophia, Eidenbenz, Stephan, Elmegreen, Bruce, Fare, Clyde, Faro, Ismael, Fernández, Cristina Sanz, Ferreira, Rodrigo Neumann Barros, Fuji, Keisuke, Fuller, Bryce, Gagliardi, Laura, Galli, Giulia, Glick, Jennifer R., Gobbi, Isacco, Gokhale, Pranav, Gonzalez, Salvador de la Puente, Greiner, Johannes, Gropp, Bill, Grossi, Michele, Gull, Emanuel, Healy, Burns, Huang, Benchen, Humble, Travis S., Ito, Nobuyasu, Izmaylov, Artur F., Javadi-Abhari, Ali, Jennewein, Douglas, Jha, Shantenu, Jiang, Liang, Jones, Barbara, de Jong, Wibe Albert, Jurcevic, Petar, Kirby, William, Kister, Stefan, Kitagawa, Masahiro, Klassen, Joel, Klymko, Katherine, Koh, Kwangwon, Kondo, Masaaki, Kurkcuoglu, Doga Murat, Kurowski, Krzysztof, Laino, Teodoro, Landfield, Ryan, Leininger, Matt, Leyton-Ortega, Vicente, Li, Ang, Lin, Meifeng, Liu, Junyu, Lorente, Nicolas, Luckow, Andre, Martiel, Simon, Martin-Fernandez, Francisco, Martonosi, Margaret, Marvinney, Claire, Medina, Arcesio Castaneda, Merten, Dirk, Mezzacapo, Antonio, Michielsen, Kristel, Mitra, Abhishek, Mittal, Tushar, Moon, Kyungsun, Moore, Joel, Motta, Mario, Na, Young-Hye, Nam, Yunseong, Narang, Prineha, Ohnishi, Yu-ya, Ottaviani, Daniele, Otten, Matthew, Pakin, Scott, Pascuzzi, Vincent R., Penault, Ed, Piontek, Tomasz, Pitera, Jed, Rall, Patrick, Ravi, Gokul Subramanian, Robertson, Niall, Rossi, Matteo, Rydlichowski, Piotr, Ryu, Hoon, Samsonidze, Georgy, Sato, Mitsuhisa, Saurabh, Nishant, Sharma, Vidushi, Sharma, Kunal, Shin, Soyoung, Slessman, George, Steiner, Mathias, Sitdikov, Iskandar, Suh, In-Saeng, Switzer, Eric, Tang, Wei, Thompson, Joel, Todo, Synge, Tran, Minh, Trenev, Dimitar, Trott, Christian, Tseng, Huan-Hsin, Tureci, Esin, Valinas, David García, Vallecorsa, Sofia, Wever, Christopher, Wojciechowski, Konrad, Wu, Xiaodi, Yoo, Shinjae, Yoshioka, Nobuyuki, Yu, Victor Wen-zhe, Yunoki, Seiji, Zhuk, Sergiy, Zubarev, Dmitry
Publikováno v:
Future Generation Computer Systems, Volume 160, November 2024, Pages 666-710
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of the
Externí odkaz:
http://arxiv.org/abs/2312.09733
Autor:
Smith, David A., Bruel, Philippe, Clark, Colin J., Guillemot, Lucas, Kerr, Matthew T., Ray, Paul, Abdollahi, Soheila, Ajello, Marco, Baldini, Luca, Ballet, Jean, Baring, Matthew, Bassa, Cees, Gonzalez, Josefa Becerra, Bellazzini, Ronaldo, Berretta, Alessandra, Bhattacharyya, Bhaswati, Bissaldi, Elisabetta, Bonino, Raffaella, Bottacini, Eugenio, Bregeon, Johan, Burgay, Marta, Burnett, Toby, Cameron, Rob, Camilo, Fernando, Caputo, Regina, Caraveo, Patrizia, Cavazzuti, Elisabetta, Chiaro, Graziano, Ciprini, Stefano, Cognard, Ismael, Orestano, Paolo Cristarella, Crnogorcevic, Milena, Cuoco, Alessandro, Cutini, Sara, D'Ammando, Filippo, de Angelis, Alessandro, De Gaetano, Salvatore, de Menezes, Raniere, de Palma, Francesco, DeCesar, Megan, Deneva, Julia, Di Lalla, Niccola, Di Venere, Leonardo, Dirirsa, Feraol Fana, Dominguez, Alberto, Dumora, Denis, Fegan, Stephen, Ferrara, Elizabeth, Fiori, Alessio, Fleischhack, Henrike, Flynn, Chris, Franckowiak, Anna, Freire, Paulo, Fukazawa, Yasushi, Fusco, Piergiorgio, Galanti, Giorgio, Gammaldi, Viviana, Gargano, Fabio, Gasparrini, Dario, Giacchino, Federica, Giglietto, Nico, Giordano, Francesco, Giroletti, Marcello, Green, David, Grenier, Isabelle, Guiriec, Sylvain, Gustafsson, Michael, Harding, Alice, Hays, Liz, Hewitt, John, Horan, Deirdre, Hou, Xian, Jankowski, Fabian, Johnson, Tyrel, Johnson, Robert, Johnston, Simon, Kataoka, Jun, Keith, Michael J., Kramer, Michael, Kuss, Michael, Latronico, Luca, Lee, Shiu-Hang, Li, Di, Li, Jian, Limyansky, Brent, Longo, Francesco, Loparco, Francesco, Lorusso, Leonarda, Lovellette, Michael, Lower, Marcus, Lubrano, Pasquale, Lyne, Andrew, Maldera, Simone, Manchester, Richard, Manfreda, Alberto, Marelli, Martino, Marta-Devesa, Guillem, Mazziotta, Mario Nicola, McEnery, Julie, Mereu, Isabella, Michelson, Peter, Mitthumsiri, Warit, Mizuno, Tsunefumi, Moiseev, Alex, Monzani, Maria Elena, Morselli, Aldo, Negro, Michela, Nemmen, Rodrigo, Nieder, Lars, Nuss, Eric, Omodei, Nicola, Orienti, Monica, Orlando, Elena, Ormes, Jonathan F., Palatiello, Michele, Paneque, David, Panzarini, Giuliana, Persic, Massimo, Pesce-Rollins, Melissa, Pillera, Roberta, Poon, Helen, Porter, Troy, Principe, Giacomo, Raino, Silvia, Rando, Riccardo, Ransom, Scott, Razzano, Massimiliano, Razzaque, Soebur, Reimer, Anita, Reimer, Olaf, Renault-Tinacci, Nicolas, Romani, Roger, Sanchez-Conde, Miguel A., Parkinson, Pablo Saz, Scotton, Lorenzo, Serini, Davide, Sgro, Carmelo, Shannon, Ryan, Sharma, Vidushi, Siskind, Eric J., Spandre, Gloria, Spinelli, Paolo, Stappers, Ben, Stephens, Tom, Suson, Dan, Tajima, Hiro, Tak, Dongguen, Theureau, Gilles, Thompson, David, Tibolla, Omar, Torres, Diego F., Valverde, Janeth, Venter, Christo, Wadiasingh, Zorawar, Wang, Nina, Wang, Pei, Weltevrede, Patrick, Wood, Kent, Zaharijas, Gabrijela
We present 294 pulsars found in GeV data from the Large Area Telescope (LAT) on the Fermi Gamma-ray Space Telescope. Another 33 millisecond pulsars (MSPs) discovered in deep radio searches of LAT sources will likely reveal pulsations once phase-conne
Externí odkaz:
http://arxiv.org/abs/2307.11132
Autor:
Sharma, Vidushi, Giammona, Maxwell, Zubarev, Dmitry, Tek, Andy, Nugyuen, Khanh, Sundberg, Linda, Congiu, Daniele, La, Young-Hye
Advanced computational methods are being actively sought for addressing the challenges associated with discovery and development of new combinatorial material such as formulations. A widely adopted approach involves domain informed high-throughput sc
Externí odkaz:
http://arxiv.org/abs/2307.03811
Publikováno v:
J Mater Sci 58, 11085-11099 (2023)
Data-driven methodology has become a key tool in computationally predicting material properties. Currently, these techniques are priced high due to computational requirements for generating sufficient training data for high-precision machine learning
Externí odkaz:
http://arxiv.org/abs/2306.14285