Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Das, Amitabh"'
Autor:
Chakraborty, Sudip, Gupta, Shuvankar, Pakhira, Santanu, Biswas, Anis, Mudryk, Yaroslav, Choudhary, Renu, Kumar, Amit, Das, Amitabh, Mazumdar, Chandan
The half-Heusler alloy RuMnGa having valence electron count (VEC) 18 has recently been theoretically proposed to exhibit compensated ferrimagnetic (CFiM) character instead of the expected nonmagnetic ground state. On the other hand, a preliminary exp
Externí odkaz:
http://arxiv.org/abs/2306.14836
Autor:
Gupta, Shuvankar, Chakraborty, Sudip, Pakhira, Santanu, Biswas, Anis, Mudryk, Yaroslav, Kumar, Amit, Mukherjee, Bodhoday, Okram, Gunadhor S., Das, Amitabh, Pecharsky, Vitalij K., Mazumdar, Chandan
Publikováno v:
Physical Review B 107, 184408 (2023)
The realization of spin-glass (S-G) state in Heusler alloys is very rare despite the presence of inherent structural and elemental disorder in those compounds. Although a few half and full Heusler alloys are known to exhibit S-G state, there is hardl
Externí odkaz:
http://arxiv.org/abs/2305.03093
Autor:
Gupta, Shuvankar, Chakraborty, Sudip, Bhasin, Vidha, Pakhira, Santanu, Biswas, Anis, Mudryk, Yaroslav, Kumar, Amit, Barreteau, Celine, Crivello, Jean-Claude, Das, Amitabh, Jha, S. N., Bhattacharyya, D., Pecharsky, Vitalij K., Alleno, Eric, Mazumdar, Chandan
Publikováno v:
Physical Review B 108, 054405 (2023)
The pursuit of efficient spin-polarization in quaternary Heusler alloys with the general formula $XX'YZ$ (where X, $X'$, and Y are transition metals and Z is a p-block element), has been a subject of significant scientific interest. While previous st
Externí odkaz:
http://arxiv.org/abs/2305.03087
Publikováno v:
Phys. Rev. B 106,184424 (2022)
Recent findings of large anomalous Hall signal in nonferromagnetic and nonferrimagnetic materials suggest that the magnetization of the system is not a critical component for the realization of the anomalous Hall effect (AHE). Here, we present a comb
Externí odkaz:
http://arxiv.org/abs/2212.00360
Autor:
Aikata, Aikata, Mert, Ahmet Can, Jacquemin, David, Das, Amitabh, Matthews, Donald, Ghosh, Santosh, Roy, Sujoy Sinha
We propose design methodologies for building a compact, unified and programmable cryptoprocessor architecture that computes post-quantum key agreement and digital signature. Synergies in the two types of cryptographic primitives are used to make the
Externí odkaz:
http://arxiv.org/abs/2210.07412
Deep learning has become the most popular direction in machine learning and artificial intelligence. However, the preparation of training data, as well as model training, are often time-consuming and become the bottleneck of the end-to-end machine le
Externí odkaz:
http://arxiv.org/abs/2206.00188
Publikováno v:
Proceedings of the VLDB Endowment Volume 15 Issue 10 June 2022 pp 2230-2243
There are significant benefits to serve deep learning models from relational databases. First, features extracted from databases do not need to be transferred to any decoupled deep learning systems for inferences, and thus the system management overh
Externí odkaz:
http://arxiv.org/abs/2201.10442
Autor:
Das, Souvick, Mitra, Ayan, Sadhukhan, Sukhendu, Kumar, Amit, Das, Amitabh, Jana, Ishita, Mandal, Kalyan, Chakrabarti, Pabitra Kumar
Publikováno v:
In Journal of Alloys and Compounds 15 October 2024 1002
Data is the king in the age of AI. However data integration is often a laborious task that is hard to automate. Schema change is one significant obstacle to the automation of the end-to-end data integration process. Although there exist mechanisms su
Externí odkaz:
http://arxiv.org/abs/2010.07586
In recent, deep learning has become the most popular direction in machine learning and artificial intelligence. However, preparation of training data is often a bottleneck in the lifecycle of deploying a deep learning model for production or research
Externí odkaz:
http://arxiv.org/abs/2010.09474