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pro vyhledávání: '"Mitra, Partha P"'
Autor:
Aon, Soumik, Bhunia, Harekrishna, Pal, Pratap Kumar, Miah, Abu Bakkar, Mahapatra, Dhananjaya, Barman, Anjan, Mitra, Partha
A single layer ferromagnetic film magnetized in the plane of an ac current flow, exhibits a characteristic Hall voltage with harmonic and second harmonic components, which is attributed to the presence of spin currents with polarization non-collinear
Externí odkaz:
http://arxiv.org/abs/2405.03439
Autor:
Aon, Soumik, Miah, Abu Bakkar, Mandal, Arpita, Bhunia, Harekrishna, Mahapatra, Dhananjaya, Mitra, Partha
The phenomenon of Spin Hall Effect (SHE) generates a pure spin current transverse to an applied current in materials with strong spin-orbit coupling, although not detectable through conventional electrical measurement. An intuitive Hall effect like m
Externí odkaz:
http://arxiv.org/abs/2404.03934
Autor:
Manna, Subhadip, Nath, Sambhu G, Roy, Samrat, Aon, Soumik, Pal, Sayani, Sharma, Kanav, Mahapatra, Dhananjaya, Mitra, Partha, Das, Sourin, Pal, Bipul, Mitra, Chiranjib
We studied longitudinal and Hall photothermal voltages under a planar magnetic field scan in epitaxial thin films of the Topological Insulator (TI) Sb2Te3, grown using pulsed laser deposition (PLD). Unlike prior research that utilised polarised light
Externí odkaz:
http://arxiv.org/abs/2403.10141
Utilizing the spin-induced pumping from a ferromagnet (FM) into a heavy metal (HM) under the ferromagnetic resonance (FMR) condition, we report an enhancement in effective damping in $\beta$- W/Py bilayers by systematically varying resistivity ($\rho
Externí odkaz:
http://arxiv.org/abs/2308.02939
Autor:
Basu, Raktima, Kumawat, Reshma, Sahu, Mrinmay, Miah, Abu Bakkar, Mitra, Partha, Mukherjee, Goutam Dev
Neodymium nickelate, NdNiO3 attracts attraction due to the simultaneous occurrence of several phase transitions around the same temperature. The electronic properties of NdNiO3 are extremely complex as structural distortion, electron correlation, cha
Externí odkaz:
http://arxiv.org/abs/2209.01828
Autor:
Mitra, Partha P, Sire, Clément
Contemporary Artificial Intelligence (AI) stands on two legs: large training data corpora and many-parameter artificial neural networks (ANNs). The data corpora are needed to represent the complexity and heterogeneity of the world. The role of the ne
Externí odkaz:
http://arxiv.org/abs/2106.03354
Autor:
Mitra, Partha P
Textbook wisdom advocates for smooth function fits and implies that interpolation of noisy data should lead to poor generalization. A related heuristic is that fitting parameters should be fewer than measurements (Occam's Razor). Surprisingly, contem
Externí odkaz:
http://arxiv.org/abs/2104.00526
Autor:
Wang, Dingkang, Magee, Lucas, Huo, Bing-Xing, Banerjee, Samik, Li, Xu, Jayakumar, Jaikishan, Lin, Meng Kuan, Ram, Keerthi, Wang, Suyi, Wang, Yusu, Mitra, Partha P.
Neuroscientific data analysis has traditionally relied on linear algebra and stochastic process theory. However, the tree-like shapes of neurons cannot be described easily as points in a vector space (the subtraction of two neuronal shapes is not a m
Externí odkaz:
http://arxiv.org/abs/2004.02755
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Autor:
Mitra, Partha P
Traditionally in regression one minimizes the number of fitting parameters or uses smoothing/regularization to trade training (TE) and generalization error (GE). Driving TE to zero by increasing fitting degrees of freedom (dof) is expected to increas
Externí odkaz:
http://arxiv.org/abs/1906.03667