Zobrazeno 1 - 10
of 20 840
pro vyhledávání: '"Pickard, A. (A)"'
Autor:
Pickard, Joshua, Choi, Marc Andrew, Oliven, Natalie, Stansbury, Cooper, Cwycyshyn, Jillian, Galioto, Nicholas, Gorodetsky, Alex, Velasquez, Alvaro, Rajapakse, Indika
Recent advancements in Large Language Models (LLMs) are transforming biology, computer science, and many other research fields, as well as impacting everyday life. While transformer-based technologies are currently being deployed in biology, no avail
Externí odkaz:
http://arxiv.org/abs/2409.02864
Autor:
Zhang, Zihan, Cui, Tian, Yao, Yansun, Ma, Tianchen, Jiang, Qiwen, Jia, Haojun, Monserrat, Bartomeu, Pickard, Chris J., Duan, Defang
Behaviours of hydrogen, such as fluidity and metallicity, are crucial for our understanding of planetary interiors and the emerging field of high-temperature superconducting hydrides. These behaviours were discovered in complex phase diagrams of hydr
Externí odkaz:
http://arxiv.org/abs/2408.12297
Autor:
Collaboration, SNO, Allega, A., Anderson, M. R., Andringa, S., Askins, M., Auty, D. J., Bacon, A., Baker, J., Barão, F., Barros, N., Bayes, R., Beier, E. W., Bialek, A., Biller, S. D., Blucher, E., Caden, E., Callaghan, E. J., Chen, M., Cheng, S., Cleveland, B., Cookman, D., Corning, J., Cox, M. A., Dehghani, R., Deloye, J., Depatie, M. M., Di Lodovico, F., Dima, C., Dittmer, J., Dixon, K. H., Esmaeilian, M. S., Falk, E., Fatemighomi, N., Ford, R., Gaur, A., González-Reina, O. I., Gooding, D., Grant, C., Grove, J., Hall, S., Hallin, A. L., Hallman, D., Heintzelman, W. J., Helmer, R. L., Hewitt, C., Howard, V., Hreljac, B., Hu, J., Huang, P., Hunt-Stokes, R., Hussain, S. M. A., Inácio, A. S., Jillings, C. J., Kaluzienski, S., Kaptanoglu, T., Khan, H., Kladnik, J., Klein, J. R., Kormos, L. L., Krar, B., Kraus, C., Krauss, C. B., Kroupová, T., Lake, C., Lebanowski, L., Lefebvre, C., Lozza, V., Luo, M., Maio, A., Manecki, S., Maneira, J., Martin, R. D., McCauley, N., McDonald, A. B., Milton, G., Colina, A. Molina, Morris, D., Mubasher, M., Naugle, S., Nolan, L. J., O'Keeffe, H. M., Gann, G. D. Orebi, Page, J., Paleshi, K., Parker, W., Paton, J., Peeters, S. J. M., Pickard, L., Quenallata, B., Ravi, P., Reichold, A., Riccetto, S., Rose, J., Rosero, R., Semenec, I., Simms, J., Skensved, P., Smiley, M., Smith, J., Svoboda, R., Tam, B., Tseng, J., Vázquez-Jáuregui, E., Veinot, J. G. C., Virtue, C. J., Ward, M., Weigand, J. J., Wilson, J. R., Wilson, J. D., Wright, A., Yang, S., Yeh, M., Ye, Z., Yu, S., Zhang, Y., Zuber, K., Zummo, A.
The SNO+ detector operated initially as a water Cherenkov detector. The implementation of a sealed covergas system midway through water data taking resulted in a significant reduction in the activity of $^{222}$Rn daughters in the detector and allowe
Externí odkaz:
http://arxiv.org/abs/2407.17595
Autor:
Pickard, Chris J.
Data driven methods have transformed the prospects of the computational chemical sciences, with machine learned interatomic potentials (MLIPs) speeding up calculations by several orders of magnitude. I reflect on theory driven, as opposed to data dri
Externí odkaz:
http://arxiv.org/abs/2407.06294
Autor:
Hansen, Mads F., Conway, Lewis J., Dolui, Kapildeb, Heil, Christoph, Pickard, Chris J., Pakhomova, Anna, Mezouar, Mohammed, Kunz, Martin, Prasankumar, Rohit P., Strobel, Timothy A.
Following long-standing predictions associated with hydrogen, high-temperature superconductivity has recently been observed in several hydride-based materials. Nevertheless, these high-$T_c$ phases only exist at extremely high pressures, and achievin
Externí odkaz:
http://arxiv.org/abs/2406.09538
Fundamental physical constants govern key effects in high-energy particle physics and astrophysics, including the stability of particles, nuclear reactions, formation and evolution of stars, synthesis of heavy nuclei and emergence of stable molecular
Externí odkaz:
http://arxiv.org/abs/2406.08129
Autor:
Collaboration, SNO, Allega, A., Anderson, M. R., Andringa, S., Askins, M., Auty, D. J., Bacon, A., Baker, J., Barão, F., Barros, N., Bayes, R., Beier, E. W., Bezerra, T. S., Bialek, A., Biller, S. D., Blucher, E., Caden, E., Callaghan, E. J., Chen, M., Cheng, S., Cleveland, B., Cookman, D., Corning, J., Cox, M. A., Dehghani, R., Deloye, J., Depatie, M. M., Di Lodovico, F., Dima, C., Dittmer, J., Dixon, K. H., Esmaeilian, M. S., Falk, E., Fatemighomi, N., Ford, R., Gaur, A., González-Reina, O. I., Gooding, D., Grant, C., Grove, J., Hall, S., Hallin, A. L., Hallman, D., Heintzelman, W. J., Helmer, R. L., Hewitt, C., Howard, V., Hreljac, B., Hu, J., Huang, P., Hunt-Stokes, R., Hussain, S. M. A., Inácio, A. S., Jillings, C. J., Kaluzienski, S., Kaptanoglu, T., Khan, H., Kladnik, J., Klein, J. R., Kormos, L. L., Krar, B., Kraus, C., Krauss, C. B., Kroupová, T., Lake, C., Lebanowski, L., Lefebvre, C., Lozza, V., Luo, M., Maio, A., Manecki, S., Maneira, J., Martin, R. D., McCauley, N., McDonald, A. B., Mills, C., Milton, G., Colina, A. Molina, Morris, D., Morton-Blake, I., Mubasher, M., Naugle, S., Nolan, L. J., O'Keeffe, H. M., Gann, G. D. Orebi, Page, J., Paleshi, K., Parker, W., Paton, J., Peeters, S. J. M., Pickard, L., Quenallata, B., Ravi, P., Reichold, A., Riccetto, S., Rose, J., Rosero, R., Semenec, I., Simms, J., Skensved, P., Smiley, M., Smith, J., Svoboda, R., Tam, B., Tseng, J., Vázquez-Jáuregui, E., Veinot, J. G. C., Virtue, C. J., Ward, M., Weigand, J. J., Wilson, J. R., Wilson, J. D., Wright, A., Yang, S., Yeh, M., Ye, Z., Yu, S., Zhang, Y., Zuber, K., Zummo, A.
The SNO+ collaboration reports its first spectral analysis of long-baseline reactor antineutrino oscillation using 114 tonne-years of data. Fitting the neutrino oscillation probability to the observed energy spectrum yields constraints on the neutrin
Externí odkaz:
http://arxiv.org/abs/2405.19700
Autor:
Pickard, Joshua, Stansbury, Cooper, Surana, Amit, Muir, Lindsey, Bloch, Anthony, Rajapakse, Indika
Biomarkers enable objective monitoring of a given cell or state in a biological system and are widely used in research, biomanufacturing, and clinical practice. However, identifying appropriate biomarkers that are both robustly measurable and capture
Externí odkaz:
http://arxiv.org/abs/2405.09809
Despite the recent ubiquity of large language models and their high zero-shot prompted performance across a wide range of tasks, it is still not known how well they perform on tasks which require processing of potentially idiomatic language. In parti
Externí odkaz:
http://arxiv.org/abs/2405.09279
This paper contributes to the existing literature on hedging American options with Deep Reinforcement Learning (DRL). The study first investigates hyperparameter impact on hedging performance, considering learning rates, training episodes, neural net
Externí odkaz:
http://arxiv.org/abs/2405.08602