Results 191 to 200 of about 59,964 (255)

Comparing data driven and physics inspired models for hopping transport in organic field effect transistors. [PDF]

open access: yesSci Rep, 2021
Lakshminarayanan M   +5 more
europepmc   +1 more source

Ambipolar Organic–Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing

open access: yesAdvanced Science, EarlyView.
We present an organic–inorganic heterostructure transistor array for neuromorphic computing, achieving 95.6% MNIST accuracy and 1.2 fJ per operation, with dynamic spatiotemporal encoding and precise vehicle direction detection under combined optical and electrical stimulation.
Wen‐Min Zhong   +13 more
wiley   +1 more source

Optimization of SWCNT‐FET Biosensors by Aptamer Engineering and Toehold‐Mediated Strand Displacement

open access: yesAdvanced Science, EarlyView.
Aptamer‐based single‐walled carbon nanotube (SWCNT) field‐effect transistor (FET) biosensors are developed for label‐free, real‐time biomarker detection. Truncated DNA aptamers enhance sensitivity through improved conformational switching. A toehold‐mediated strand displacement (TMSD) strategy optimizes functionalization and simplifies fabrication. The
Haosen Miao   +8 more
wiley   +1 more source

Natural, small molecule aliphatics (cholesterol and hexadecyl palmitate) as dielectrics for low-voltage organic field effect transistors.

open access: yesMater Adv
Irimia CV   +17 more
europepmc   +1 more source

Thermoelectric Gating Organic Electrochemical Transistors Enabled by Printable Ionogels With n‐p Convertible Thermopower

open access: yesAdvanced Science, EarlyView.
A type of thermoelectric ionogels with convertible n‐p thermopowers are demonstrated with Seebeck coefficients ranging from ‐3.61 to +9.74 mV K−1. Thus, thermoelectric gating organic electrochemical transistor is achieved by employing ionogel as thermoelectric modules and ionic dielectrics simultaneously, paving the road to self‐powered, highly ...
Xingyu Hu   +8 more
wiley   +1 more source

Memristive Physical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao   +9 more
wiley   +1 more source

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