Non-stoichiometry in SnS: How it affects thin-film morphology and electrical properties

Autor: Nogami, Taichi, Suzuki, Issei, Motai, Daiki, Tanimura, Hiroshi, Ichitsubo, Tetsu, Omata, Takahisa

Tin sulfide (SnS) has garnered much attention as a promising material for various applications, including solar cells and thermoelectric devices, owing to its favorable optical and electronic properties and the abundant and nontoxic nature of its con

Externí odkaz: http://arxiv.org/abs/2411.07530

Thermodynamic quantum Fokker-Planck equations and their application to thermostatic Stirling engine

Autor: Koyanagi, Shoki, Tanimura, Yoshitaka

Publikováno v: J. Chem. Phys. 161, 112501 (2024)

We developed a computer code for the thermodynamic quantum Fokker-Planck equations (T-QFPE), derived from a thermodynamic system-bath model. This model consists of an anharmonic subsystem coupled to multiple Ohmic baths at different temperatures, whi

Externí odkaz: http://arxiv.org/abs/2408.01083

Classical and quantum thermodynamics in a non-equilibrium regime: Application to Stirling engine

Autor: Koyanagi, Shoki, Tanimura, Yoshitaka

Publikováno v: J. Chem. Phys. 161, 114113 (2024)

We have developed a thermodynamic theory in the non-equilibrium regime, which we describe as a thermodynamic system-bath model [S. Koyanagi and Y. Tanimura, J. Chem. Phys. \textbf{160}, 234112 (2024)]. Based on the dimensionless (DL) minimum work pri

Externí odkaz: http://arxiv.org/abs/2405.17791

Velocity recostruction with graph neural networks

Autor: Tanimura, Hideki, Bonnefous, Albert, Liu, Jia, Ganguly, Sanmay

In this work, we seek to improve the velocity reconstruction of clusters by using Graph Neural Networks -- a type of deep neural network designed to analyze sparse, unstructured data. In comparison to the Convolutional Neural Network (CNN) which is b

Externí odkaz: http://arxiv.org/abs/2402.14239

LiteBIRD Science Goals and Forecasts: Improving Sensitivity to Inflationary Gravitational Waves with Multitracer Delensing

Autor: Namikawa, T., Lonappan, A. I., Baccigalupi, C., Bartolo, N., Beck, D., Benabed, K., Challinor, A., Diego-Palazuelos, P., Errard, J., Farrens, S., Gruppuso, A., Krachmalnicoff, N., Migliaccio, M., Martínez-González, E., Pettorino, V., Piccirilli, G., Ruiz-Granda, M., Sherwin, B., Starck, J., Vielva, P., Akizawa, R., Anand, A., Aumont, J., Aurlien, R., Azzoni, S., Ballardini, M., Banday, A. J., Barreiro, R. B., Bersanelli, M., Blinov, D., Bortolami, M., Brinckmann, T., Calabrese, E., Campeti, P., Carones, A., Carralot, F., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Conenna, G., Coppolecchia, A., Cuttaia, F., D'Alessandro, G., de Bernardis, P., de Haan, T., De Petris, M., Della Torre, S., Di Giorgi, E., Eriksen, H. K., Finelli, F., Franceschet, C., Fuskeland, U., Galloni, G., Galloway, M., Georges, M., Gerbino, M., Gervasi, M., Ghigna, T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Hivon, E., Kohri, K., Komatsu, E., Lamagna, L., Lattanzi, M., Leloup, C., Lembo, M., López-Caniego, M., Luzzi, G., Maffei, B., Masi, S., Massa, M., Matarrese, S., Matsumura, T., Micheli, S., Moggi, A., Monelli, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagata, R., Natoli, P., Novelli, A., Obata, I., Occhiuzzi, A., Pagano, L., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Pavlidou, V., Piacentini, F., Pinchera, M., Pisano, G., Polenta, G., Puglisi, G., Remazeilles, M., Ritacco, A., Rizzieri, A., Rubino-Martin, J., Sakurai, Y., Scott, D., Shiraishi, M., Signorelli, G., Stever, S. L., Takase, Y., Tanimura, H., Tartari, A., Tassis, K., Terenzi, L., Tristram, M., Vacher, L., van Tent, B., Wehus, I. K., Weymann-Despres, G., Zannoni, M., Zhou, Y.

We estimate the efficiency of mitigating the lensing $B$-mode polarization, the so-called delensing, for the $LiteBIRD$ experiment with multiple external data sets of lensing-mass tracers. The current best bound on the tensor-to-scalar ratio, $r$, is

Externí odkaz: http://arxiv.org/abs/2312.05194