Zobrazeno 1 - 10
of 11 449
pro vyhledávání: '"A. Surendran"'
Autor:
Waheed, Yunus, Shit, Sumitra, Surendran, Jithin T, Prasad, Indrajeet D, Watanabe, Kenji, Taniguchi, Takashi, Kumar, Santosh
Transition metal dichalcogenides and related layered materials in their monolayer and a few layers thicknesses regime provide a promising optoelectronic platform for exploring the excitonic- and many-body physics. Strain engineering has emerged as a
Externí odkaz:
http://arxiv.org/abs/2412.10114
Autor:
Prasad, Indrajeet Dhananjay, Shit, Sumitra, Waheed, Yunus, Surendran, Jithin Thoppil, Watanabe, Kenji, Taniguchi, Takashi, Kumar, Santosh
Bilayers of transition-metal dichalcogenides show many exciting features, including long-lived interlayer excitons and wide bandgap tunability using strain. Not many investigations on experimental determinations of deformation potentials relating cha
Externí odkaz:
http://arxiv.org/abs/2412.00453
Spot patterns, in which vegetation patches form a hexagonal lattice, are frequent in nature and could serve as an early-warning indicator of abrupt vegetation collapses. Consequently, they have been intensively studied using both individual-based mod
Externí odkaz:
http://arxiv.org/abs/2410.23125
Autor:
Surendran, Vidullan, Wagner, Alan R.
Publikováno v:
Auton Robot 47, 249-265 (2023)
Recognising intent in collaborative human robot tasks can improve team performance and human perception of robots. Intent can differ from the observed outcome in the presence of mistakes which are likely in physically dynamic tasks. We created a data
Externí odkaz:
http://arxiv.org/abs/2410.20256
Variational Autoencoders (VAE) are popular generative models used to sample from complex data distributions. Despite their empirical success in various machine learning tasks, significant gaps remain in understanding their theoretical properties, par
Externí odkaz:
http://arxiv.org/abs/2410.16750
Autor:
Wood, David, Lublinsky, Boris, Roytman, Alexy, Singh, Shivdeep, Adam, Constantin, Adebayo, Abdulhamid, An, Sungeun, Chang, Yuan Chi, Dang, Xuan-Hong, Desai, Nirmit, Dolfi, Michele, Emami-Gohari, Hajar, Eres, Revital, Goto, Takuya, Joshi, Dhiraj, Koyfman, Yan, Nassar, Mohammad, Patel, Hima, Selvam, Paramesvaran, Shah, Yousaf, Surendran, Saptha, Tsuzuku, Daiki, Zerfos, Petros, Daijavad, Shahrokh
Data preparation is the first and a very important step towards any Large Language Model (LLM) development. This paper introduces an easy-to-use, extensible, and scale-flexible open-source data preparation toolkit called Data Prep Kit (DPK). DPK is a
Externí odkaz:
http://arxiv.org/abs/2409.18164
Autor:
Chen, Huandong, Singh, Shantanu, Surendran, Mythili, Zhao, Boyang, Wang, Yan-Ting, Ravichandran, Jayakanth
Chalcogenide perovskites such as BaZrS3 are promising candidates for next generation optoelectronics such as photodetectors and solar cells. Compared to widely studied polycrystalline thin films, single crystals of BaZrS3 with minimal extended and po
Externí odkaz:
http://arxiv.org/abs/2409.00595
Autor:
Chen, Huandong, Liu, Yang, Kumarasubramanian, Harish, Surendran, Mythili, Ravichandran, Jayakanth
We present a general fabrication strategy for freestanding single-crystalline complex oxide device arrays via wet chemical etching-based microfabrication processes and epitaxial lift-off. Here, we used 0.5Ba(Zr$_{0.2}$Ti$_{0.8}$)O$_3$-0.5Ba(Zr$_{0.7}
Externí odkaz:
http://arxiv.org/abs/2408.10071
Autor:
Kumarasubramanian, Harish, Ravindran, Prasanna Venkat, Liu, Ting-Ran, Song, Taeyoung, Surendran, Mythili, Chen, Huandong, Buragohain, Pratyush, Tung, I-Cheng, Gupta, Arnab Sen, Steinhardt, Rachel, Young, Ian A., Shao, Yu-Tsun, Khan, Asif Islam, Ravichandran, Jayakanth
Ferroelectricity is characterized by the presence of spontaneous and switchable macroscopic polarization. Scaling limits of ferroelectricity have been of both fundamental and technological importance, but the probes of ferroelectricity have often bee
Externí odkaz:
http://arxiv.org/abs/2407.13953
Autor:
Stallone, Matt, Saxena, Vaibhav, Karlinsky, Leonid, McGinn, Bridget, Bula, Tim, Mishra, Mayank, Soria, Adriana Meza, Zhang, Gaoyuan, Prasad, Aditya, Shen, Yikang, Surendran, Saptha, Guttula, Shanmukha, Patel, Hima, Selvam, Parameswaran, Dang, Xuan-Hong, Koyfman, Yan, Sood, Atin, Feris, Rogerio, Desai, Nirmit, Cox, David D., Puri, Ruchir, Panda, Rameswar
This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code models from 2K/4K to 128K consists of a light-weight continual pretraini
Externí odkaz:
http://arxiv.org/abs/2407.13739