Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Vinod K, Sangwan"'
Autor:
Dmitry Lebedev, J. Tyler Gish, Ethan S. Garvey, Thomas W. Song, Qunfei Zhou, Luqing Wang, Kenji Watanabe, Takashi Taniguchi, Maria K. Chan, Pierre Darancet, Nathaniel P. Stern, Vinod K. Sangwan, Mark C. Hersam
Publikováno v:
Advanced Science, Vol 11, Iss 38, Pp n/a-n/a (2024)
Abstract Two‐dimensional (2D) antiferromagnetic (AFM) semiconductors are promising components of opto‐spintronic devices due to terahertz operation frequencies and minimal interactions with stray fields. However, the lack of net magnetization sig
Externí odkaz:
https://doaj.org/article/0d74455172a0498097b2cc787475edb8
Autor:
Sevdenur Arpaci, Victor Lopez-Dominguez, Jiacheng Shi, Luis Sánchez-Tejerina, Francesca Garesci, Chulin Wang, Xueting Yan, Vinod K. Sangwan, Matthew A. Grayson, Mark C. Hersam, Giovanni Finocchio, Pedram Khalili Amiri
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Anti-ferromagnetic based memories have a wide range of advantages over their ferromagnetic counterparts, however, their electrical signatures of switching are complicated by spurious signals. Here, Arpaci et al demonstrate an experimental method to d
Externí odkaz:
https://doaj.org/article/7962adb64f1b4c0aacee238c2f42e02a
Autor:
Megan E. Beck, Ahish Shylendra, Vinod K. Sangwan, Silu Guo, William A. Gaviria Rojas, Hocheon Yoo, Hadallia Bergeron, Katherine Su, Amit R. Trivedi, Mark C. Hersam
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2
Externí odkaz:
https://doaj.org/article/4bbd6d5c2b1f4d8f83394ac1c32b1319
Publikováno v:
Matter. 5:4133-4152
Autor:
Christopher M. Smyth, John M. Cain, Eric J. Lang, Ping Lu, Xiaodong Yan, Stephanie E. Liu, Jiangtan Yuan, Matthew P. Bland, Nathan J. Madden, Taisuke Ohta, Vinod K. Sangwan, Mark C. Hersam, Khalid Hattar, Stanley S. Chou, Tzu-Ming Lu
Publikováno v:
Journal of Materials Research. 37:2723-2737
Autor:
David W. Burke, Raghunath R. Dasari, Vinod K. Sangwan, Alexander K. Oanta, Zoheb Hirani, Chloe E. Pelkowski, Yongjian Tang, Ruofan Li, Daniel C. Ralph, Mark C. Hersam, Stephen Barlow, Seth R. Marder, William R. Dichtel
Publikováno v:
Journal of the American Chemical Society.
Autor:
Su-Min Kim, Sungkyu Kim, Leo Ling, Stephanie E. Liu, Sila Jin, Young Mee Jung, Minjae Kim, Hyung-Ho Park, Vinod K. Sangwan, Mark C. Hersam, Hong-Sub Lee
Publikováno v:
ACS Applied Materials & Interfaces. 14:5673-5681
Emerging energy-efficient neuromorphic circuits are based on hardware implementation of artificial neural networks (ANNs) that employ the biomimetic functions of memristors. Specifically, crossbar array memristive architectures are able to perform AN
Autor:
Elisa Trippodo, Vincenzo Campisciano, Liang-Wen Feng, Yao Chen, Wei Huang, Joaquin M. Alzola, Ding Zheng, Vinod K. Sangwan, Mark C. Hersam, Michael R. Wasielewski, Bruno Pignataro, Francesco Giacalone, Tobin J. Marks, Antonio Facchetti
Publikováno v:
Journal of Materials Chemistry C.
Addition of a fullerene derivative to a PBTATBT-4F:Y6 blend significantly enhances cell stability, which retained 90% of the initial PCEs (13–14%) even after storage in air for 6 months, compared to only 20% retention for the binary device.
Autor:
Madison C, Schwinn, Shahnawaz, Rafiq, Changmin, Lee, Matthew P, Bland, Thomas W, Song, Vinod K, Sangwan, Mark C, Hersam, Lin X, Chen
Publikováno v:
The Journal of chemical physics. 157(18)
Mixed-dimensional van der Waals heterojunctions involve interfacing materials with different dimensionalities, such as a 2D transition metal dichalcogenide and a 0D organic semiconductor. These heterojunctions have shown unique interfacial properties
Autor:
Silu Guo, William A. Gaviria Rojas, Mark C. Hersam, Hadallia Bergeron, Stephanie E. Liu, Shamma Nasrin, Ahish Shylendra, Hong Sub Lee, Amit Ranjan Trivedi, Shaowei Li, Jiangtan Yuan, Vinod K. Sangwan
Publikováno v:
Nano Letters. 21:6432-6440
Artificial intelligence and machine learning are growing computing paradigms, but current algorithms incur undesirable energy costs on conventional hardware platforms, thus motivating the exploration of more efficient neuromorphic architectures. Towa