Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Thomas F Schranghamer"'
Autor:
Yikai Zheng, Harikrishnan Ravichandran, Thomas F. Schranghamer, Nicholas Trainor, Joan M. Redwing, Saptarshi Das
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Bayesian networks are applied to resolve several types of probabilistic problems. Here, Das et al. develop a stochastic computing hardware platform using two-dimensional memtransistors for the implementation of Bayesian network with high accuracy.
Externí odkaz:
https://doaj.org/article/525b6376437e49baa91a176e4099bade
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Designing efficient and low power memristors-based neuromorphic systems remains a challenge. Here, the authors present graphene-based multi-level (>16) and non-volatile memristive synapses with arbitrarily programmable conductance states capable of w
Externí odkaz:
https://doaj.org/article/a130631a23e64efc851890dbc7347d88
Autor:
Thomas F. Schranghamer, Najam U. Sakib, Muhtasim Ul Karim Sadaf, Shiva Subbulakshmi Radhakrishnan, Rahul Pendurthi, Ama Duffie Agyapong, Sergei P. Stepanoff, Riccardo Torsi, Chen Chen, Joan M. Redwing, Joshua A. Robinson, Douglas E. Wolfe, Suzanne E. Mohney, Saptarshi Das
Publikováno v:
Nano Letters. 23:3426-3434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::260aa25005b54b7bb8eb0efe002a2491
https://doi.org/10.1021/acs.nanolett.3c00466
https://doi.org/10.1021/acs.nanolett.3c00466
Autor:
Shakya Chakrabarti, Akshay Wali, Harikrishnan Ravichandran, Shamik Kundu, Thomas F. Schranghamer, Kanad Basu, Saptarshi Das
Publikováno v:
ACS Applied Nano Materials. 5:14447-14455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb8955872868d59230a893db8145c0b8
https://doi.org/10.1021/acsanm.2c02807
https://doi.org/10.1021/acsanm.2c02807
Autor:
Thomas F. Schranghamer, Andrew Pannone, Harikrishnan Ravichandran, Sergei P. Stepanoff, Nicholas Trainor, Joan M. Redwing, Douglas E. Wolfe, Saptarshi Das
Publikováno v:
ACS Applied Materials & Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::606313715eda8c5d060ab3740cec38ec
https://doi.org/10.1021/acsami.3c02406
https://doi.org/10.1021/acsami.3c02406
Autor:
Subir Ghosh, Yikai Zheng, Shiva Subbulakshmi Radhakrishnan, Thomas F Schranghamer, Saptarshi Das
Publikováno v:
Nano Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4b6b8514ec32e07d2d9b5f1e64cd0e0
https://doi.org/10.1021/acs.nanolett.3c01145
https://doi.org/10.1021/acs.nanolett.3c01145
Autor:
Darsith Jayachandran, Andrew Pannone, Mayukh Das, Thomas F. Schranghamer, Dipanjan Sen, Saptarshi Das
Publikováno v:
ACS nano.
Detecting a potential collision at night is a challenging task owing to the lack of discernible features that can be extracted from the available visual stimuli. To alert the driver or, alternatively, the maneuvering system of an autonomous vehicle,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2293c909983d8280b73794195f0f9c5
https://pubmed.ncbi.nlm.nih.gov/36584350
https://pubmed.ncbi.nlm.nih.gov/36584350
Autor:
Harikrishnan Ravichandran, Yikai Zheng, Thomas F Schranghamer, Nicholas Trainor, Joan M. Redwing, Saptarshi Das
Publikováno v:
Advanced materials (Deerfield Beach, Fla.).
As the energy and hardware investments necessary for conventional high-precision digital computing continues to explode in the emerging era of artificial intelligence, deep learning, and big data, a change in paradigm that can trade precision for ene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30fda4b10fc6f1dd4f81215c87ce3aa
https://pubmed.ncbi.nlm.nih.gov/36308032
https://pubmed.ncbi.nlm.nih.gov/36308032
Autor:
Parijat Sengupta, Saptarshi Das, Shiva Subbulakshmi Radhakrishnan, Thomas F. Schranghamer, Drew Buzzell, Akhil Dodda
Publikováno v:
Nature Electronics. 4:364-374
Graphene has a range of properties that makes it suitable for building devices for the Internet of Things. However, the deployment of such devices will also likely require the development of suitable graphene-based hardware security primitives. Here
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b9210090bc106e101eb94998ea1beab
https://doi.org/10.1038/s41928-021-00569-x
https://doi.org/10.1038/s41928-021-00569-x
Autor:
Shiva Subbulakshmi Radhakrishnan, Shakya Chakrabarti, Dipanjan Sen, Mayukh Das, Thomas F. Schranghamer, Amritanand Sebastian, Saptarshi Das
Publikováno v:
Advanced materials (Deerfield Beach, Fla.). 34(48)
The representation of external stimuli in the form of action potentials or spikes constitutes the basis of energy efficient neural computation that emerging spiking neural networks (SNNs) aspire to imitate. With recent evidence suggesting that inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c375c6506713b58150c1d2df4a3dbe
https://pubmed.ncbi.nlm.nih.gov/35674268
https://pubmed.ncbi.nlm.nih.gov/35674268