On‐Chip Annealing Using Embedded Micro‐Heater for Highly Sensitive and Selective Gas Detection.
- Published in:
- Advanced Science, 2024, v. 11, n. 28, p. 1, doi. 10.1002/advs.202401821
- By:
- Publication type:
- Article
Works by Bae, Jong‐Ho
Results: 17
1
2
P‐30: Thermally Activated and Field‐Enhanced Diffusion of Dopants in a‐InGaZnO TFTs Under Circuit Operations and Correlation to Device Stabilities.
- Published in:
- SID Symposium Digest of Technical Papers, 2022, v. 53, n. 1, p. 1149, doi. 10.1002/sdtp.15705
- By:
- Publication type:
- Article
3
On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm.
- Published in:
- Neural Computing & Applications, 2021, v. 33, n. 15, p. 9391, doi. 10.1007/s00521-021-05699-z
- By:
- Publication type:
- Article
4
Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices.
- Published in:
- Neural Computing & Applications, 2019, v. 31, n. 11, p. 8101, doi. 10.1007/s00521-018-3659-y
- By:
- Publication type:
- Article
5
Effect of Post-Annealing on Barrier Modulations in Pd/IGZO/SiO 2 /p + -Si Memristors.
- Published in:
- Nanomaterials (2079-4991), 2022, v. 12, n. 20, p. 3582, doi. 10.3390/nano12203582
- By:
- Publication type:
- Article
6
Si‐Based Dual‐Gate Field‐Effect Transistor Array for Low‐Power On‐Chip Trainable Hardware Neural Networks.
- Published in:
- Advanced Intelligent Systems (2640-4567), 2024, v. 6, n. 1, p. 1, doi. 10.1002/aisy.202300490
- By:
- Publication type:
- Article
7
Analog Synaptic Devices Based on IGZO Thin‐Film Transistors with a Metal–Ferroelectric–Metal–Insulator–Semiconductor Structure for High‐Performance Neuromorphic Systems.
- Published in:
- Advanced Intelligent Systems (2640-4567), 2023, v. 5, n. 12, p. 1, doi. 10.1002/aisy.202300125
- By:
- Publication type:
- Article
8
1/f Noise in Synaptic Ferroelectric Tunnel Junction: Impact on Convolutional Neural Network.
- Published in:
- Advanced Intelligent Systems (2640-4567), 2023, v. 5, n. 6, p. 1, doi. 10.1002/aisy.202200377
- By:
- Publication type:
- Article
9
Development of an In-Pipe Inspection Robot for Large-Diameter Water Pipes.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 11, p. 3470, doi. 10.3390/s24113470
- By:
- Publication type:
- Article
10
Charge-trap synaptic device with polycrystalline silicon channel for low power in-memory computing.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-80272-x
- By:
- Publication type:
- Article
11
Investigation of Deep Spiking Neural Networks Utilizing Gated Schottky Diode as Synaptic Devices.
- Published in:
- Micromachines, 2022, v. 13, n. 11, p. 1800, doi. 10.3390/mi13111800
- By:
- Publication type:
- Article
12
Compact SPICE Model of Memristor with Barrier Modulated Considering Short- and Long-Term Memory Characteristics by IGZO Oxygen Content.
- Published in:
- Micromachines, 2022, v. 13, n. 10, p. 1630, doi. 10.3390/mi13101630
- By:
- Publication type:
- Article
13
Analysis of Threshold Voltage Shift for Full V GS /V DS /Oxygen-Content Span under Positive Bias Stress in Bottom-Gate Amorphous InGaZnO Thin-Film Transistors.
- Published in:
- Micromachines, 2021, v. 12, n. 3, p. 327, doi. 10.3390/mi12030327
- By:
- Publication type:
- Article
14
Short-Term Memory Characteristics of IGZO-Based Three-Terminal Devices.
- Published in:
- Materials (1996-1944), 2023, v. 16, n. 3, p. 1249, doi. 10.3390/ma16031249
- By:
- Publication type:
- Article
15
A Split-Gate Positive Feedback Device With an Integrate-and-Fire Capability for a High-Density Low-Power Neuron Circuit.
- Published in:
- Frontiers in Neuroscience, 2018, p. N.PAG, doi. 10.3389/fnins.2018.00704
- By:
- Publication type:
- Article
16
On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices.
- Published in:
- Frontiers in Neuroscience, 2020, v. 14, p. 1, doi. 10.3389/fnins.2020.00423
- By:
- Publication type:
- Article
17
Lateral Migration‐based Flash‐like Synaptic Device for Hybrid Off‐chip/On‐chip Training.
- Published in:
- Advanced Electronic Materials, 2024, v. 10, n. 4, p. 1, doi. 10.1002/aelm.202300866
- By:
- Publication type:
- Article