Zobrazeno 1 - 10
of 19 601
pro vyhledávání: '"Gupta, P. K."'
Autor:
Singh, Pawan, Gupta, Y. K., Prajapati, G. K., Joshi, B. N., Prajapati, V. G., Sirswal, N., Ramachandran, K., Pradeep, A. S., Dagre, V. S., Kumar, M., Jhingan, A., Deshmukh, N., John, B. V., Nayak, B. K., Biswas, D. C., Choudhury, R. K.
Proton and $\alpha$-particle energy spectra were measured in coincidence with fission fragments in $^{16}$O (96 MeV) + $^{232}$Th reaction. The multiplicity spectra were analyzed within the framework of a Moving Source Disentangling Analysis (MSDA) t
Externí odkaz:
http://arxiv.org/abs/2407.04487
Autor:
Modak, M., Kaiwart, Rahul, Gupta, Santosh K., Dwivedi, A., Pandey, K. K., Poswal, A. K., Poswal, H. K.
In this article we report the structural stability of Er$_2$Ti$_2$O$_7$ cubic pyrochlore with pressure using x-ray diffraction, Raman spectroscopy, photoluminescence, x-ray absorption and ab-initio calculations. Our studies establish a phase transfor
Externí odkaz:
http://arxiv.org/abs/2406.04128
Autor:
Bodnar, Cristian, Bruinsma, Wessel P., Lucic, Ana, Stanley, Megan, Brandstetter, Johannes, Garvan, Patrick, Riechert, Maik, Weyn, Jonathan, Dong, Haiyu, Vaughan, Anna, Gupta, Jayesh K., Tambiratnam, Kit, Archibald, Alex, Heider, Elizabeth, Welling, Max, Turner, Richard E., Perdikaris, Paris
Deep learning foundation models are revolutionizing many facets of science by leveraging vast amounts of data to learn general-purpose representations that can be adapted to tackle diverse downstream tasks. Foundation models hold the promise to also
Externí odkaz:
http://arxiv.org/abs/2405.13063
We explore the usage of large language models (LLM) in human-in-the-loop human-in-the-plant cyber-physical systems (CPS) to translate a high-level prompt into a personalized plan of actions, and subsequently convert that plan into a grounded inferenc
Externí odkaz:
http://arxiv.org/abs/2405.11458
Autor:
Ghorbani, M., Li, Z., Qiu, Y., Marcus, P., Scully, J. R., Gharbi, O., Luo, H., Gupta, R. K., Zeng, Z. R., Fraser, H. L., Taheri, M. L., Birbilis, N.
Whilst multi-principal element alloys (MPEAs) remain a promising class of materials owing to several attractive mechanical properties, their corrosion performance is also unique. In this concise review, we present an emerging overview of some of the
Externí odkaz:
http://arxiv.org/abs/2405.05623
Autor:
Keeley, Ryan E., Nierenberg, Anna M., Gilman, Daniel, Gannon, Charles, Birrer, Simon, Treu, Tommaso, Benson, Andrew J., Du, Xiaolong, Abazajian, K. N., Anguita, T., Bennert, V. N., Djorgovski, S. G., Gupta, K. K., Hoenig, S. F., Kusenko, A., Lemon, C., Malkan, M., Motta, V., Moustakas, L. A., Oh, M. S. H., Sluse, D., Stern, D., Wechsler, R. H.
This is the second in a series of papers in which we use JWST MIRI multiband imaging to measure the warm dust emission in a sample of 31 multiply imaged quasars, to be used as a probe of the particle nature of dark matter. We present measurements of
Externí odkaz:
http://arxiv.org/abs/2405.01620
In Part-I, we presented an optimal day-ahead scheduling scheme for dispatching active distribution networks accounting for the flexibility provided by electric vehicle charging stations (EVCSs) and other controllable resources such as battery energy
Externí odkaz:
http://arxiv.org/abs/2404.12870
Autor:
Gupta, Rahul K., Fahmy, Sherif, Chevron, Max, Vasapollo, Riccardo, Figini, Enea, Paolone, Mario
This paper proposes a grid-aware scheduling and control framework for Electric Vehicle Charging Stations (EVCSs) for dispatching the operation of an active power distribution network. The framework consists of two stages. In the first stage, we deter
Externí odkaz:
http://arxiv.org/abs/2404.12863
The VT and Helberg codes, both in binary and non-binary forms, stand as elegant solutions for rectifying insertion and deletion errors. In this paper we consider the quaternary versions of these codes. It is well known that many optimal binary non-li
Externí odkaz:
http://arxiv.org/abs/2404.07670
The DistFlow model accurately represents power flows in distribution systems, but the model's nonlinearities result in computational challenges for many optimization applications. Accordingly, a linear approximation known as LinDistFlow is commonly e
Externí odkaz:
http://arxiv.org/abs/2404.05125