Zobrazeno 1 - 10
of 373 127
pro vyhledávání: '"Lo If"'
Autor:
Pöhls, Jan-Hendrik, Lo, Chun-Wan Timothy, MacIver, Marissa, Tseng, Yu-Chih, Mozharivskyj, Yurij
Systemic optimization of thermoelectric materials is arduous due to their conflicting electrical and thermal properties. A strategy based on Design of Experiments and machine learning is developed to optimize the thermoelectric efficiency of AgSb1+xT
Externí odkaz:
http://arxiv.org/abs/2412.04699
This article considers the joint modeling of longitudinal covariates and partly-interval censored time-to-event data. Longitudinal time-varying covariates play a crucial role in obtaining accurate clinically relevant predictions using a survival regr
Externí odkaz:
http://arxiv.org/abs/2412.03042
Using the Cornwall-Jackiw-Tomboulis effective action framework in conjunction with variational perturbation theory, this study investigates the relative shift in the transition temperature of a homogeneous repulsive weakly interacting Bose gas compar
Externí odkaz:
http://arxiv.org/abs/2412.02269
Autor:
Lerendegui-Marco, J., Guerrero, C., Mendoza, E., Quesada, J. M., Eberhardt, K., Junghans, A. R., Alcayne, V., Babiano, V., Aberle, O., Andrzejewski, J., Audouin, L., Becares, V., Bacak, M., Balibrea-Correa, J., Barbagallo, M., Barros, S., Becvar, F., Beinrucker, C., Berthoumieux, E., Billowes, J., Bosnar, D., Brugger, M., Caamaño, M., Calviño, F., Calviani, M., Cano-Ott, D., Cardella, R., Casanovas, A., Castelluccio, D. M., Cerutti, F., Chen, Y. H., Chiaveri, E., Colonna, N., Cortés, G., Cortés-Giraldo, M. A., Cosentino, L., Damone, L. A., Diakaki, M., Dietz, M., Domingo-Pardo, C., Dressler, R., Dupont, E., Durán, I., Fernández-Domínguez, B., Ferrari, A., Ferreira, P., Finocchiaro, P., Furman, V., Göbel, K., García, A. R., Gawlik, A., Glodariu, T., Goncalves, I. F., González-Romero, E., Goverdovski, A., Griesmayer, E., Gunsing, F., Harada, H., Heftrich, T., Heinitz, S., Heyse, J., Jenkins, D. G., Jericha, E., Käppeler, F., Kadi, Y., Katabuchi, T., Kavrigin, P., Ketlerov, V., Khryachkov, V., Kimura, A., Kivel, N., Kokkoris, M., Krticka, M., Leal-Cidoncha, E., Lederer-Woods, C., Leeb, H., Meo, S. Lo, Lonsdale, S. J., Losito, R., Macina, D., Marganiec, J., Martínez, T., Massimi, C., Mastinu, P., Mastromarco, M., Matteucci, F., Maugeri, E. A., Mengoni, A., Milazzo, P. M., Mingrone, F., Mirea, M., Montesano, S., Musumarra, A., Nolte, R., Oprea, A., Patronis, N., Pavlik, A., Perkowski, J., Porras, J. I., Praena, J., Rajeev, K., Rauscher, T., Reifarth, R., Riego-Perez, A., Rout, P. C., Rubbia, C., Ryan, J. A., Sabaté-Gilarte, M., Saxena, A., Schillebeeckx, P., Schmidt, S., Schumann, D., Sedyshev, P., Smith, A. G., Stamatopoulos, A., Tagliente, G., Tain, J. L., Tarifeño-Saldivia, A., Tassan-Got, L., Tsinganis, A., Valenta, S., Vannini, G., Variale, V., Vaz, P., Ventura, A., Vlachoudis, V., Vlastou, R., Wallner, A., Warren, S., Weigand, M., Weiss, C., Wolf, C., Woods, P. J., Wright, T., Zugec, P., Collaboration, the n_TOF
The design of fast reactors burning MOX fuels requires accurate capture and fission cross sections. For the particular case of neutron capture on 242Pu, the NEA recommends that an accuracy of 8-12% should be achieved in the fast energy region (2 keV-
Externí odkaz:
http://arxiv.org/abs/2412.01332
In 1975 Bollob\'{a}s, Erd\H{o}s, and Szemer\'{e}di asked what minimum degree guarantees an octahedral subgraph $K_3(2)$ in any tripartite graph $G$ with $n$ vertices in each vertex class. We show that $\delta(G)\geq n+2n^{\frac{5}{6}}$ suffices thus
Externí odkaz:
http://arxiv.org/abs/2411.19773
In this paper, we study the action of an autoequivalence, the spherical twist associated to a torsion sheaf, on the standard Bridgeland stability conditions and a generalized weak stability condition on the derived category of a K3 surface. As a spec
Externí odkaz:
http://arxiv.org/abs/2411.18554
Autor:
Li, Yikun, Zhang, Ting, Widyasari, Ratnadira, Tun, Yan Naing, Nguyen, Huu Hung, Bui, Tan, Irsan, Ivana Clairine, Cheng, Yiran, Lan, Xiang, Ang, Han Wei, Liauw, Frank, Weyssow, Martin, Kang, Hong Jin, Ouh, Eng Lieh, Shar, Lwin Khin, Lo, David
Accurate identification of software vulnerabilities is crucial for system integrity. Vulnerability datasets, often derived from the National Vulnerability Database (NVD) or directly from GitHub, are essential for training machine learning models to d
Externí odkaz:
http://arxiv.org/abs/2411.17274
Continuous-variable (CV) codes and their application in quantum communication have attracted increasing attention. In particular, one typical CV codes, cat-codes, has already been experimentally created using trapped atoms in cavities with relatively
Externí odkaz:
http://arxiv.org/abs/2411.14757
Interacting or nonlinear lattices can host emergent particle-like modes, such as Bogoliubov quasiparticles, whose band topology and other properties are potentially highly tunable. Despite originating in the study of superconducting materials, Bogoli
Externí odkaz:
http://arxiv.org/abs/2411.13841
Autor:
Asai, Akari, He, Jacqueline, Shao, Rulin, Shi, Weijia, Singh, Amanpreet, Chang, Joseph Chee, Lo, Kyle, Soldaini, Luca, Feldman, Sergey, D'arcy, Mike, Wadden, David, Latzke, Matt, Tian, Minyang, Ji, Pan, Liu, Shengyan, Tong, Hao, Wu, Bohao, Xiong, Yanyu, Zettlemoyer, Luke, Neubig, Graham, Weld, Dan, Downey, Doug, Yih, Wen-tau, Koh, Pang Wei, Hajishirzi, Hannaneh
Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenScholar, a specialized retrieval-augmented LM that answers scientific q
Externí odkaz:
http://arxiv.org/abs/2411.14199