Zobrazeno 1 - 10
of 854
pro vyhledávání: '"Ramanathan, Shriram"'
Recent reports reveal that isothermal chemical doping of hydrogen in correlated complex oxides such as perovskite nickelates (e.g. NdNiO3) can induce a metal-to-insulator transition (MIT) without the need for temperature modulation. In this work, we
Externí odkaz:
http://arxiv.org/abs/2405.08968
Autor:
Naik, B. Raju, Chandran, Yadu, Rohini, Kakunuri, Verma, Divya, Ramanathan, Shriram, Balakrishnan, Viswanath
Electrically driven insulator-metal transitions in prototypical quantum materials such as VO2 offer a foundational platform for designing novel solid-state devices. Tuning the V: O stoichiometry offers a vast electronic phase space with non-trivial c
Externí odkaz:
http://arxiv.org/abs/2401.05222
Autor:
Patel, Ranjan Kumar, Yuan, Yifan, Bisht, Ravindra Singh, Seskar, Ivan, Mandayam, Narayan, Ramanathan, Shriram
RF radiation spectrum is central to wireless and radar systems among numerous high-frequency device technologies. Here, we demonstrate sensing of RF signals in the technologically relevant 2.4 GHz range utilizing vanadium dioxide (VO2), a quantum mat
Externí odkaz:
http://arxiv.org/abs/2312.06459
Autor:
Yuan, Yifan, Kotiuga, Michele, Park, Tae Joon, Ni, Yuanyuan, Saha, Arnob, Zhou, Hua, Sadowski, Jerzy T., Al-Mahboob, Abdullah, Yu, Haoming, Du, Kai, Zhu, Minning, Deng, Sunbin, Bisht, Ravindra S., Lyu, Xiao, Wu, Chung-Tse Michael, Ye, Peide D., Sengupta, Abhronil, Cheong, Sang-Wook, Xu, Xiaoshan, Rabe, Karin M., Ramanathan, Shriram
Materials with field-tunable polarization are of broad interest to condensed matter sciences and solid-state device technologies. Here, using hydrogen (H) donor doping, we modify the room temperature metallic phase of a perovskite nickelate NdNiO3 in
Externí odkaz:
http://arxiv.org/abs/2311.12200
Autor:
Galloni, Alessandro R., Yuan, Yifan, Zhu, Minning, Yu, Haoming, Bisht, Ravindra S., Wu, Chung-Tse Michael, Grienberger, Christine, Ramanathan, Shriram, Milstein, Aaron D.
Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient artificial intelligence and learning machines. An important factor in selection of t
Externí odkaz:
http://arxiv.org/abs/2310.00066
Autor:
Gamage, Sampath, Manna, Sukriti, Zajac, Marc, Hancock, Steven, Wang, Qi, Singh, Sarabpreet, Ghafariasl, Mahdi, Yao, Kun, Tiwald, Tom, Park, Tae Joon, Landau, David P., Wen, Haidan, Sankaranarayanan, Subramanian, Darancet, Pierre, Ramanathan, Shriram, Abate, Yohannes
Solid-state devices made from correlated oxides such as perovskite nickelates are promising for neuromorphic computing by mimicking biological synaptic function. However, comprehending dopant action at the nanoscale poses a formidable challenge to un
Externí odkaz:
http://arxiv.org/abs/2309.04486
Autor:
King, Jonathan, Wan, Chenghao, Park, Tae Joon, Despande, Sanket, Zhang, Zhen, Ramanathan, Shriram, Kats, Mikhail A.
We demonstrate an electrically controlled metal-VO2 metasurface for the mid-wave infrared that simultaneously functions as a tunable optical switch, an optical limiter with a tunable limiting threshold, and a nonlinear optical isolator with a tunable
Externí odkaz:
http://arxiv.org/abs/2303.09060
Autor:
Park, Tae Joon, Selcuk, Kemal, Zhang, Hai-Tian, Manna, Sukriti, Batra, Rohit, Wang, Qi, Yu, Haoming, Sankaranarayanan, Subramanian K. R. S., Zhou, Hua, Camsari, Kerem Y., Ramanathan, Shriram
Publikováno v:
Nano Letters (2022)
Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in electronic hardware. Here, we demonstrate intrinsic stochastic resistance s
Externí odkaz:
http://arxiv.org/abs/2208.14408
Autor:
Hoffmann, Axel, Ramanathan, Shriram, Grollier, Julie, Kent, Andrew D., Rozenberg, Marcelo, Schuller, Ivan K., Shpyrko, Oleg, Dynes, Robert, Fainman, Yeshaiahu, Frano, Alex, Fullerton, Eric E., Galli, Giulia, Lomakin, Vitaliy, Ong, Shyue Ping, Petford-Long, Amanda K., Schuller, Jonathan A., Stiles, Mark D., Takamura, Yayoi, Zhu, Yimei
Publikováno v:
APL Materials 10, 070904 (2022)
Neuromorphic computing approaches become increasingly important as we address future needs for efficiently processing massive amounts of data. The unique attributes of quantum materials can help address these needs by enabling new energy-efficient de
Externí odkaz:
http://arxiv.org/abs/2204.01832