Tae-Joon Park
Korea University · 工学
研究室紹介
Professor Tae-Joon Park's research lab specializes in brain-inspired electronics and neuromorphic computing, focusing on the development of reconfigurable oxide-based devices that emulate neural and synaptic functions. The lab explores strongly correlated oxides—particularly perovskite nickelates and vanadium dioxide—to create artificial neurons, synapses, and memory elements with tunable conductance states through electric-field-induced ion migration. By leveraging the unique sensitivity of these materials to proton or carrier doping, the lab achieves dynamic, on-demand reconfiguration of electronic functions for applications in reservoir computing, pattern recognition, and adaptive learning systems. The integration of homotypic materials into single-chip neuromorphic architectures enables scalable, low-power hardware for next-generation AI and robotics.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Reconfigurable devices offer the ability to program electronic circuits on demand. In this work, we demonstrated on-demand creation of artificial neurons, synapses, and memory capacitors in post-fabricated perovskite NdNiO 3 devices that can be simply reconfigured for a specific purpose by single-shot electric pulses. The sensitivity of electronic properties of perovskite nickelates to the local distribution of hydrogen ions enabled these results. With experimental data from our memory capacitor
Aligned 1D ZnO/g-C<sub>3</sub>N<sub>4</sub> films were fabricated by simple refluxing with thermal vapor condensation for rapid charge separation and recyclable test.
One-dimensional photonic crystals based on the periodic stacking of two different dielectric layers have been widely studied, but the fabrication of mechanically flexible polymer structural color (SC) films, with electro-active color switching, remains challenging. Here, we demonstrate free-standing electric field tunable ionic liquid (IL) swollen block copolymer (BCP) films. Placement of a polymer/ionic liquid film-reservoir adjacent to a self-assembled poly(styrene-block-quaternized 2-vinylpyr
Trees are used by animals, humans and machines to classify information and make decisions. Natural tree structures displayed by synapses of the brain involves potentiation and depression capable of branching and is essential for survival and learning. Demonstration of such features in synthetic matter is challenging due to the need to host a complex energy landscape capable of learning, memory and electrical interrogation. We report experimental realization of tree-like conductance states at roo
The fields of brain-inspired computing, robotics, and, more broadly, artificial intelligence (AI) seek to implement knowledge gleaned from the natural world into human-designed electronics and machines. In this review, the opportunities presented by complex oxides, a class of electronic ceramic materials whose properties can be elegantly tuned by doping, electron interactions, and a variety of external stimuli near room temperature, are discussed. The review begins with a discussion of natural i
The cointegration of artificial neuronal and synaptic devices with homotypic materials and structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate experimental realization of vanadium dioxide (VO 2 ) artificial neurons and synapses on the same substrate through selective area carrier doping. By locally configuring pairs of catalytic and inert electrodes that enable nanoscale control over carrier density, volatility or nonvolatility can be appropriately assigned t
As one of the most emerging next-generation nonvolatile memories, one-transistor (1T)-type nonvolatile memories are of great attention due to their excellent memory performance and simple device architecture suitable for high density memory arrays. In particular, organic 1T-type memories containing both organic semiconductors and insulators are further beneficial because of their mechanical flexibility with low cost fabrication. Here, we demonstrate a new flexible organic 1T-type memory operatin
We have experimentally demonstrated robust beta-gallium oxide ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula> -Ga <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ) ferroelectric (FE) field-effect transistors (FeFET
Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in electronic hardware. Here, we demonstrate intrinsic stochastic resistance switching controlled via electric fields in perovskite nickelates doped with hydrogen. The ability of hydrogen ions to reside in various metastable configurations in the lattice leads to a distribution of transport gaps. With experimentally characteri
Abstract Materials with field-tunable polarization are of broad interest to condensed matter sciences and solid-state device technologies. Here, using hydrogen (H) donor doping, we modify the room temperature metallic phase of a perovskite nickelate NdNiO 3 into an insulating phase with both metastable dipolar polarization and space-charge polarization. We then demonstrate transient negative differential capacitance in thin film capacitors. The space-charge polarization caused by long-range move
This paper proposes an online load estimation algorithm of LCL-resonant type induction heater and effective temperature control method to increase uniformity and efficiency. Adaptive parameter estimation method was used to find out an equivalent resistance and inductance of a work piece with only two voltage sensing(inverter voltage and capacitor voltage) and additional ferrite core was arranged for effective heating. Simulation and experimental results are presented to verify proposed methods.
Neuromorphic computing has emerged as a promising strategy for overcoming the von Neumann bottleneck by enabling energy-efficient parallel information processing. To realize such systems, it is crucial to develop artificial synaptic devices that are both energy-efficient and highly scalable. In this study, we present a single-layer MoS 2 -based synaptic field-effect transistor (FET) with a high-κ top-gate dielectric stack for low-power, nonvolatile synaptic operations. The absence of a blocking
Basal cell carcinoma is a common cancer and has been reported to account for approximately 80% of non-melanoma skin cancers. Superficial basal cell carcinoma occurs mainly in the trunk or limbs and is characterized by clinical features of scaly erythema with or without epidermal atrophy. These clinical features require differentiation from those of other benign and malignant skin diseases. Recently, specific dermoscopic findings of basal cell carcinoma have been helpful for diagnosis. Common der