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20052024
most citedSurface Engineering for Phase Change Heat Transfer: A Review

375 citations

Showing 2023Show all

17 papers · 1 filter

gr-qc20238 cited

Reconstruction of Lagrangian for various cosmological scenarios

Tuhina Ghorui, Prabir Rudra, Farook Rahaman

In this paper, we explore a reconstruction scheme in the background of the gravity theory for different cosmological scenarios, where is the scalar torsion a…

cond-mat.mtrl-sci2023

Charge-transfer-driven enhanced room-temperature ferromagnetism in BiFeO/Ag nanocomposite

Tania Chatterjee, Shubhankar Mishra, Arnab Mukherjee +3

We report observation of more than an order of magnitude jump in saturation magnetization in BiFeO/Ag nanocomposite at room temperature compared to what is observed in bare BiF…

cond-mat.mes-hall20235 cited

Resonant transport in a highly conducting single molecular junction via metal-metal covalent bond

Biswajit Pabi, Štepán Marek, Adwitiya Pal +5

Achieving highly transmitting molecular junctions through resonant transport at low bias is key to the next-generation low-power molecular devices. Although, resonant transport in…

astro-ph.CO202311 cited

Towards -cm intensity mapping at with uGMRT using the tapered gridded estimator III: Foreground removal

Khandakar Md Asif Elahi, Somnath Bharadwaj, Srijita Pal +8

Neutral hydrogen (HI) -cm intensity mapping (IM) is a promising probe of the large-scale structures in the Universe. However, a few orders of magnitude brighter foregrounds obs…

cs.CV202358 cited

Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis

Asish Bera, Mita Nasipuri, Ondrej Krejcar +1

Human body-pose estimation is a complex problem in computer vision. Recent research interests have been widened specifically on the Sports, Yoga, and Dance (SYD) postures for maint…

cs.LG2023

A Survey on Multi-Objective based Parameter Optimization for Deep Learning

Mrittika Chakraborty, Wreetbhas Pal, Sanghamitra Bandyopadhyay +1

Deep learning models form one of the most powerful machine learning models for the extraction of important features. Most of the designs of deep neural models, i.e., the initializa…