Zobrazeno 1 - 10
of 357
pro vyhledávání: '"Nripan, Mathews"'
Autor:
Shuai Chen, Zhongliang Zhou, Kunqi Hou, Xihu Wu, Qiang He, Cindy G. Tang, Ting Li, Xiujuan Zhang, Jiansheng Jie, Zhiyi Gao, Nripan Mathews, Wei Lin Leong
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The emulation of tactile sensory nerves to achieve advanced sensory functions in robotics with artificial intelligence is of great interest. However, such devices remain bulky and lack reliable competence to functionalize further synaptic de
Externí odkaz:
https://doaj.org/article/7dcd88ad50e74983b04938fc4d43c923
Autor:
Kunqi Hou, Shuai Chen, Rohit Abraham John, Qiang He, Zhongliang Zhou, Nripan Mathews, Wen Siang Lew, Wei Lin Leong
Publikováno v:
Advanced Science, Vol 11, Iss 43, Pp n/a-n/a (2024)
Abstract The human nervous system inspires the next generation of sensory and communication systems for robotics, human‐machine interfaces (HMIs), biomedical applications, and artificial intelligence. Neuromorphic approaches address processing chal
Externí odkaz:
https://doaj.org/article/f2650fcc9765433d90412a03fdd20e84
Autor:
Si En Ng, Sujaya Kumar Vishwanath, Jingting Yang, Srilakshmi Subramanian Periyal, Amoolya Nirmal, Nur Fadilah Jamaludin, Rohit Abraham John, Nripan Mathews
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 2, Pp n/a-n/a (2024)
Abstract Inspired by the brain, neuromorphic computing seeks to improve data‐centric applications in terms of power consumption and device footprint. The processing efficiency can be attributed to reconfigurable connections coupled with complex dyn
Externí odkaz:
https://doaj.org/article/69e8da9b3c9244ce89f8b81285b141fc
Autor:
Hang Li, Mingzhen Liu, Meicheng Li, Hyesung Park, Nripan Mathews, Yabing Qi, Xiaodan Zhang, Henk J. Bolink, Karl Leo, Michael Graetzel, Chenyi Yi
Publikováno v:
iEnergy, Vol 1, Iss 4, Pp 434-452 (2022)
Metal halide perovskite solar cells (PSCs) have made substantial progress in power conversion efficiency (PCE) and stability in the past decade thanks to the advancements in perovskite deposition methodology, charge transport layer (CTL) optimization
Externí odkaz:
https://doaj.org/article/6754d47e0c83406eb7643109ddded375
Autor:
Rohit Abraham John, Nimesh Shah, Sujaya Kumar Vishwanath, Si En Ng, Benny Febriansyah, Metikoti Jagadeeswararao, Chip-Hong Chang, Arindam Basu, Nripan Mathews
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Despite the impressive demonstrations with silicon and oxide memristors, realizing efficient roots of trust for resource-constrained hardware remains a challenge. Here, the authors exploit switching behavior in one dimensional perovskite memristors t
Externí odkaz:
https://doaj.org/article/63fb8f2b6fad4b27898030de574bd482
Autor:
Rohit Abraham John, Naveen Tiwari, Muhammad Iszaki Bin Patdillah, Mohit Rameshchandra Kulkarni, Nidhi Tiwari, Joydeep Basu, Sumon Kumar Bose, Ankit, Chan Jun Yu, Amoolya Nirmal, Sujaya Kumar Vishwanath, Chiara Bartolozzi, Arindam Basu, Nripan Mathews
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Sensory information processing in robots relies on a centralized approach with issues of wiring, fault-tolerance and latency. Here, the authors report a decentralized neuromorphic approach with self-healable memristive elements enabling intelligent s
Externí odkaz:
https://doaj.org/article/48dfbd073d654c308d946376094bffd7
Autor:
Rohit Abraham John, Jyotibdha Acharya, Chao Zhu, Abhijith Surendran, Sumon Kumar Bose, Apoorva Chaturvedi, Nidhi Tiwari, Yang Gao, Yongmin He, Keke K. Zhang, Manzhang Xu, Wei Lin Leong, Zheng Liu, Arindam Basu, Nripan Mathews
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Accomplishing complex cognitive tasks such as speech recognition calls for artificial intelligence hardware with high computing precision. John et al. propose deep recurrent neural networks based on optoelectronic transition metal dichalcogenide memr
Externí odkaz:
https://doaj.org/article/6c1806d8270d4d5db127aa7ebd08d4ee
Autor:
Ankit, Terence Yan King Ho, Amoolya Nirmal, Mohit Rameshchandra Kulkarni, Dino Accoto, Nripan Mathews
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 2, Pp n/a-n/a (2022)
Haptics involves human touch sensing and tactile feedback and plays a crucial role in physical interactions of humans with their environment. There is an ever‐increasing interest in development of haptic technologies, due to their role in various a
Externí odkaz:
https://doaj.org/article/7bbb033573d540ae91fc9538c1a4fbb3
Autor:
David Giovanni, Jia Wei Melvin Lim, Zhongcheng Yuan, Swee Sien Lim, Marcello Righetto, Jian Qing, Qiannan Zhang, Herlina Arianita Dewi, Feng Gao, Subodh Gautam Mhaisalkar, Nripan Mathews, Tze Chien Sum
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Spin-information transport or transfer is essential for spintronics applications and often relies on high purity and quality materials. Here, the authors report on the defect-tolerant solution-processed Ruddlesden–Popper halide perovskites, where a
Externí odkaz:
https://doaj.org/article/e5387bba6f53416f8ee20a8a22921aab
Autor:
Zonghan Hong, Davin Tan, Rohit Abraham John, Yong Kang Eugene Tay, Yan King Terence Ho, Xin Zhao, Tze Chien Sum, Nripan Mathews, Felipe García, Han Sen Soo
Publikováno v:
iScience, Vol 16, Iss , Pp 312-325 (2019)
Summary: Mechanochemistry is a green, solid-state, re-emerging synthetic technique that can rapidly form complex molecules and materials without exogenous heat or solvent(s). Herein, we report the application of solvent-free mechanochemical ball mill
Externí odkaz:
https://doaj.org/article/bfd8e819b4c2452dba5f92cae2bc3360