Deep Learning-Based ESG Research
Economics RYU, DOO JIN Prof.
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Deep Learning-Based ESG Research
Professor Doojin Ryu co-authored this paper with Jeongseok Bang (Korea Institute of Finance) and Jinyoung Yu (Xi’an Jiaotong-Liverpool University). The research bridges social science (ESG and financial markets) and engineering methods (machine learning, deep learning) to analyze how ESG controversies influence investor behavior using big data. The study employed deep learning-based natural language processing to systematically analyze news articles, classifying them by specific ESG controversy types. ESG controversies generally increase trading activity, though responses vary by ESG factor. Domestic institutional investors, unlike foreign or individual investors, showed a distinct tendency to sell stocks tied to controversies. Highlighting the Korean market, it was published in Finance Research Letters, a high-ranking SSCI journal in the Business/Finance category. Publication Details: Bang, J., Ryu, D., & Yu, J. (2023). ESG controversies and investor trading behavior in the Korean market. Finance Research Letters, 54 (Jun.), 103750.
- No. 278
- 2024-12-09
- 27
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How to Distribute benefits Fairly Even When External Factors Interfere?
If LG's battery competitor, Northvolt, collaborates with BMW's competitor, Mercedes-Benz, how should LG and BMW share their profits? Professor Frank Huettner of Sungkyunkwan University’s SKK GSB has published a paper in the prestigious journal Games and Economic Behavior on a method for plausibly distributing benefits, even when outsiders can exert externalities. Professor Huettner, along with Professor André Casajus of HHL Leipzig Graduate School of Management and Professor Yukihiko Funaki of Waseda University, conducted research on the Shapley value and its extensions. The Shapley value is a concept that provides a fair method for distributing the benefits gained by multiple participants working together. It calculates the contribution of each participant to the overall value of the project and proposes a fair distribution of rewards. The traditional Shapley value is difficult to apply in situations where external factors can exert externalities. In this paper, Professor Huettner and his co-authors address how to plausibly distribute benefits even when external factors interfere. To illustrate the impact of externalities, consider a scenario where LG and BMW are negotiating a deal to divide the benefits of 100 billion KRW from using LG's batteries in BMW vehicles. The traditional Shapley value might suggest dividing these benefits 50-50. However, the benefit might depend on whether LG's Swedish competitor Northvolt reaches an agreement with BMW's competitor Mercedes-Benz. If Northvolt and Mercedes-Benz collaborate, the estimated benefit between LG and BMW could drop to 80 billion KRW. In this case, Northvolt and Mercedes-Benz exert external effects on BMW and LG, making the traditional Shapley value inapplicable. The scenario might be even more complex, involving potential collaborations between BMW and Northvolt, Mercedes-Benz and LG, or even technological partnerships between Northvolt and LG, further complicating the value distribution problem. The authors refine and extend a previous approach to better account for these complex scenarios, offering a more comprehensive and conclusive way to distribute value. Their generalization of the Shapley value can be employed in situations like the above example, providing a fair allocation method that takes into account the potential actions of external entities. Journal: http://doi.org/10.1016/j.geb.2024.06.004
- No. 277
- 2024-12-04
- 149
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Development of High-Performance Tungsten Disulfide-Graphene Electrode Material Using Polarization-Field-Embedded 2D mat.
A collaborative research team led by Professor Taesung Kim (Departments of Mechanical Engineering, Nanoscience and Technology, and Semiconductor Convergence Engineering) and Professor Pil J. Yoo (Departments of Chemical Engineering, Nanoscience and Technology, and SKKU Institute of Energy Science and Technology) at Sungkyunkwan University, together with Dr. Hyeong-U Kim from the Korea Institute of Machinery and Materials, has successfully developed a high-efficiency, stable hydrogen production electrode material utilizing a low-temperature plasma polarization-field-embedded two-dimensional (2D) heterojunction structure. In recent years, transition metal dichalcogenide (TMD) thin films have gained attention for their tunable hydrogen ion adsorption energies, which vary with crystal structure, providing a basis for designing hydrogen evolution reaction (HER) electrodes with controllable morphologies. The 2H phase, characterized by semiconducting properties, exhibits lower charge transfer capacity compared to the metallic 1T phase. Although efforts to produce 1T-phase TMDs have been ongoing, the strong adsorption in the 1T phase has resulted in desorption-related challenges. Thus, research focused on tuning material properties to address these limitations has become essential. To overcome these obstacles, the research team devised a novel approach that leverages a heterojunction interface with embedded polarization fields, introducing interfacial vacancies that liberate electrons previously constrained by sulfur. This structural innovation facilitates enhanced charge transfer to the electrode surface, ultimately enabling a system capable of rapidly reducing adsorbed hydrogen ions to molecular hydrogen. The team demonstrated that a polarization field formed at the tungsten-graphene interface due to differences in work functions, acting as an internal barrier that prevents the penetration of ionized hydrogen sulfide ions, achieved under low-temperature plasma conditions. This configuration induces sulfur vacancies at the bottom layer, thereby generating free electrons that enhance charge transfer to the surface, surpassing the performance of conventional 2D thin-film-based hydrogen production electrodes. The team demonstrated that a polarization field formed at the tungsten-graphene interface due to differences in work functions, acting as an internal barrier that prevents the penetration of ionized hydrogen sulfide ions, achieved under low-temperature plasma conditions. This configuration induces sulfur vacancies at the bottom layer, thereby generating free electrons that enhance charge transfer to the surface, surpassing the performance of conventional 2D thin-film-based hydrogen production electrodes. Experimental validation, conducted via spherical aberration-corrected transmission electron microscopy, revealed the formation of nanocrystalline atomic layers under hydrogen sulfide ion penetration resulting from ion collision reactions in low-temperature plasma. Additionally, X-ray photoelectron spectroscopy and X-ray diffraction analyses elucidated the mechanism by which hydrogen sulfide ions infiltrate the lattice structure to facilitate the crystallization of amorphous WS₂, enabling in-situ synthesis of 1T-phase lattice through excessive ion injection at the lattice interface. The significance of this work is underscored by its publication in Advanced Materials, a leading journal in multidisciplinary materials science, on September 9, 2024. Publication Details Journal: Advanced Materials Article Title: Electron Release via Internal Polarization Fields for Optimal S-H Bonding States DOI: 10.1002/adma.202411211 ※Authors Corresponding Authors: Professor Taesung Kim (Sungkyunkwan University, Departments of Mechanical Engineering, Nanoscience and Technology, and Semiconductor Convergence Engineering), Professor Pil J. Yoo (Sungkyunkwan University, Departments of Chemical Engineering, Nanoscience and Technology, and SKKU Institute of Energy Science and Technology), Dr. Hyeong-U Kim (Korea Institute of Machinery and Materials) First Authors: Hyunho Seok (Integrated Master-PhD Program, Department of Nanoscience and Technology, Sungkyunkwan University), Minjun Kim (Integrated Master-PhD Program, Department of Nanoscience and Technology, Sungkyunkwan University), Jinil Cho (Department of Mechanical Engineering, Sungkyunkwan University)
- No. 276
- 2024-11-29
- 120
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SKKU-involved Genomic Study Unveils Evolutionary History of Brown Algal Adaptation to Past Environmental Changes
A research team led by Professor Hwan Su Yoon from the Department of Biological Sciences at Sungkyunkwan University has published their findings on the brown algae genome in the journal Cell. This study sheds light on the adaptive and evolutionary mechanisms of brown algae in response to past climate change. The international research consortium, titled “Phaeoexplorer,” consists of over 36 research institutions across 13 countries. Professor Yoon’s research team is the sole contributor from Korea. Key analyses for the project were performed by Ph.D. candidate Seok-Wan Choi, Dr. Jihoon Jo (now in National Marine Biodiversity Institute of Korea), and Dr. Louis Graf (now in Ecole Normale Supérieure de Paris, France). Brown algae, which includes commercially important species such as kelps (Miyeok and Dasima), is recognized for its economic value as a food source and for its role as "blue carbon" in reducing carbon dioxide. Despite its ecological and commercial importance, genome research on brown algae has been scarce. This study delves into the evolutionary history of 44 brown algae and related species, revealing how they have adapted to oceanic environments over time. Professor Yoon’s research team found that approximately 450 million years ago, during the Ordovician period, brown algae took a critical evolutionary leap, shifting from unicellular to multicellular organisms. During this time, brown algae have acquired cell wall components such as alginate through horizontal gene transfer (HGT) from bacteria, which enabled cellular signaling among cells and protection against marine invertebrate predators. Around 200 million years ago, during the Triassic period, the breakup of Pangaea led to extensive species diversification, resulting in a variety of life cycles and metabolic processes in brown algae. Professor Yoon stated, “Because climate change rapidly alters marine ecosystems, which is quite unprecedented, studying how brown algae have adapted in past environmental changes is essential for understanding future changes in marine environments and how marine life may respond.” This research was supported by the Ministry of Oceans and Fisheries and the National Research Foundation of Korea. This research will be published in Cell on November 27. ※ Paper: Evolutionary genomics of the emergence of brown algae as key components of coastal ecosystems ※ Journal: Cell Analysis Results of Brown Algae Species Divergence Time
- No. 275
- 2024-11-25
- 240
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Development of a groundbreaking strategy to significantly enhance oxygen evolution reaction (OER) catalyst performance
The research team led by Prof. Sang Uck Lee from the School of Chemical Engineering, Sungkyunkwan University, in collaboration with Prof. Hyung-Sang Kim and Prof. Hyun-Sik Im from Dongguk University, has developed a groundbreaking strategy to significantly enhance oxygen evolution reaction (OER) catalyst performance. OER is a critical step in the water-splitting process to produce hydrogen and requires the highest energy input, particularly due to its high overpotentials. State-of-the-art commercial catalysts, such as IrO₂ and RuO₂, are noble-metal-based and exhibit excellent performance but are economically impractical for large-scale hydrogen production due to their scarcity. Hence, there is an urgent need to develop alternative catalysts using abundant metal-based materials for large-scale green hydrogen production. Metal-organic frameworks (MOFs) have gained attention as effective and low-cost catalysts for OER, particularly due to their structural versatility and potential to expose active metal nodes. To maximize the catalytic performance of MOF-based catalysts, it is necessary to increase the exposure of active metal node sites and optimize the structural disorder within the framework. In this regard, the research team introduced a novel strategy by doping cerium (Ce) into MOFs, selectively inducing structural disorder and enhancing the exposure of catalytic sites, thus greatly improving OER electrochemical performance. The research successfully demonstrated the synthesis of a crystalline/amorphous heterostructure in nickel-based MOFs via Ce doping. X-ray diffraction (XRD) and electron microscopy revealed that while flat sheets retained a crystalline structure, Ce-rich regions formed amorphous spherical domains. The optimized NiCe-0.2 MOF/NF catalyst exhibited significantly lower overpotentials (η) of 205, 290, 410 and 450 mV to drive the OER under current densities of 10, 100, 1000 and 2000 mAcm−2, respectively with a superior kinetic of 46.09 mVdec− 1 and a larger turnover frequency (TOF@η = 330 mV) of 0.36 s−1, outperforming both Ni-MOF/NF and commercial IrO₂/NF catalysts in high-current-density applications. Additionally, it demonstrated outstanding stability, maintaining performance for over 146 hours at a current density of 1000 mA/cm². Prof. Sang Uck Lee and Ph.D Course Jun Ho Seok used density functional theory (DFT) calculations to elucidate the mechanism by which Ce3+ doping enhances OER catalytic performance. The DFT analysis revealed that Ce³⁺ ions reduce defect formation energy, facilitating the transformation of the MOF structure from crystalline to amorphous, exposing more active metal nodes. Ce³⁺ ions also promote electron transfer and enhance reactivity with OH⁻ ions, accelerating the OER process. The study provided valuable insights into the geometric and electronic structure synergies that contribute to improved catalytic performance, offering a guideline for future MOF-based catalyst designs. Title: Cerium guided site-selective crystal disorder engineering of MIL-88B(Ni) frameworks for electrocatalysis offering high-performance water oxidation Author Information: Nabeen K. Shrestha (First author, Dongguk University), Supriya A. Patil (Sejong University), Jun Ho Seok (Sungkyunkwan University), Amol S. Salunke (Dongguk University), Sangeun Cho (Dongguk University), Akbar I. Inamdar (Dongguk University), Youngsin Park (Dongguk University), The corresponding authors are Prof. Sang Uck Lee (Sungkyunkwan University), Prof. Hyungsang Kim (Dongguk University), and Prof. Hyunsik Im (Dongguk University). (A total of 10 authors participated.) Journal: Materials Today Physics(IF: 10.0) Paper Link: DOI: 10.1016/j.mtphys.2023.101252 Figure 1. Comparative electrocatalytic OER performances of various anodes. (A) Linear sweep polarization curves measured at 1 mVs− 1 in 1.0 M aqueous KOH solution and corresponding (B) OER overpotential vs. current density profiles, (C) Tafel slopes and (D) Nyquist plots exhibited by the anodes. The inset image in (d) is the equivalent circuit used to fit the impedance data. Figure 2. Theoretical evaluation on the oxygen evolution reaction (OER) catalytic activities of Ni-MOF and NiCe-0.2 MOF. (A) Differences in crystal structure metal-oxygen bond length and distortion index between Ni-MOF and NiCe-0.2 MOF, (B) Ce3+ ion induced charge transfer in NiCe-0.2 MOF, and (C) Proposed adsorbate evolution mechanism (AEM) pathway for the NiCe-0.2 MOF catalysts. Free energy diagrams (FEDs) of OER according to the active sites of (D) Ni-MOF and (E) NiCe-0.2 MOF at U = 0 V, U = 0.402 V, and U = 0.402 V+ ηOER in alkaline media. The pink shading indicates the potential determining step (PDS).
- No. 274
- 2024-11-20
- 273
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Development of Self-Evolving Virtual Sensing Technology in Digital Twin Environments
Dr. Sungmin Yoon’s research team from the School of Civil Architectural Engineering and Landscape Architecture has developed a virtual sensing technology for building operational phases that autonomously evolves and self-calibrates within a digital twin environment. Conventional virtual sensor technology has primarily focused on products in the manufacturing industry, utilizing controlled laboratory settings for research and development. However, in the building sector, where “every building is different,” the architectural uniqueness and complex systems make it challenging to establish laboratory environments and develop high-performance virtual sensors. Particularly, there is a technical contradiction when physical sensors are required to develop virtual sensors for specific variables. This study overcomes these limitations by creating an innovative modeling technique and algorithm that enables virtual sensors to be autonomously generated, expanded, and continuously self-calibrated within actual building digital twin environments beyond the lab. This technology implements the concept of in-situ virtual sensing through nonintrusive indirect modeling, which integrates physical theories of building systems with surrounding sensor data without relying on direct measurements of physical variables. <Digital Twin Living Lab and Winter District Heating System Validation Results> Validation results demonstrated the performance of this technology, achieving an RMSE of 0.27°C for hot water temperature in district heating systems in residential complexes and an annual MAPE of less than 1.5% for flow rates in centralized HVAC systems over a three-month winter period. <In-situ Virtual Sensing in Building Digital Twins: Autonomous Sensor Creation, Expansion, and Continuous Calibration in Building Operations> Dr. Yoon stated, "This field-based virtual sensing technology can potentially replace all thermometers and flow meters commonly used in the return lines of HVAC systems, significantly reducing sensor installation and maintenance costs in large-scale HVAC systems for plants, semiconductor clusters, communities, and campuses." He also mentioned ongoing development of virtual sensing-based AI operational management technology using GPT agents within the SKKU-SSIT program to explore its applicability in semiconductor clusters. <Urban Building Operational Management Platform with Virtual Sensing: T-ranno> This research was supported by the National Research Foundation of Korea’s Basic Research Program and published in Journal of Industrial Information Integration (Top JCR category, December 2023). - Title: In situ virtual sensors in building digital twins: framework and methodology - Authors:Sungmin Yoon, Jaebum Koo, Youngwoong Choi (Sungkyunkwan University) - Journal: Journal of Industrial Information Integration (IF 15.7, as of publication year) - DOI: https://doi.org/10.1016/j.jii.2023.100532
- No. 273
- 2024-11-15
- 255
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Innovative Design of Stretchable Pressure Sensors with Enhanced Sensitivity and Linearity
Professor Jong-Woong Kim's research team has proposed a new structure to enhance linearity and sensitivity in pressure sensor design, unveiling two types of stretchable sensors. This research is expected to expand the application range significantly by dramatically improving the properties of the device through a simple approach. Reliable pressure sensors must possess both high sensitivity and excellent linearity within their detection range. The research team designed the sensor structure to ensure that the initial voltage and current values remain low while allowing for linear changes in response to pressure, considering that the sensitivity is calculated based on the ratio of electrical characteristics during initial deformation. Additionally, to enhance the longevity of the device in light of continuous friction and contact, self-healing materials were introduced, enabling all components of the manufactured sensors to be self-healable repeatedly. To address potential noise issues in the sensor's operating environment, a one-dimensional convolutional neural network (1D CNN) model was incorporated to differentiate subtle signals. Furthermore, the frictional electric pressure sensor equipped with an artificial intelligence model was attached to a glove, successfully detecting electrical signals that vary based on the user's grip strength and timing when holding a baseball, thereby demonstrating its potential as an intelligent sensor. These two pressure sensors have been published in the international journals Nano Energy (Impact Factor: 16.8) and Advanced Science (Impact Factor: 14.3) in September 2024, acknowledging the credibility of the research results. The main idea of this research, regarding the nonlinear increase in contact area between sensor materials under pressure, was proposed by Su Bin Choi, a doctoral student and first author of the paper. This concept was validated through experiments and simulations, leading to its publication. Professor Jong-Woong Kim's research team continues to conduct studies that strategically enhance properties through structural design and material selection, actively incorporating artificial intelligence models to further expand the functionality of the devices. This is expected to broaden the possibilities for intelligent sensor applications.
- No. 272
- 2024-11-12
- 369
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Existence of Solutions in the Critical Regime of the Inhomogeneous Nonlinear Schrödinger Equation Proven
Professor Ihyeok Seo’s research team has proven the existence of solutions in various critical regimes of the inhomogeneous nonlinear Schrödinger equation. While the subcritical regimes had been previously studied, this research is the first to reveal the existence of solutions in critical regimes, accomplished through a new approach. This equation is widely used to explain various physical phenomena, and its inhomogeneity reflects the complexity of real-world physical systems. Proving the existence of solutions to this equation is crucial for understanding the dynamic behavior of such systems. However, the existence of solutions in critical regimes remained an unsolved problem. Professor Seo’s team has provided the first mathematical proof of this problem, clearly demonstrating that solutions do exist in critical regimes of the equation. During the research, a new integrability estimate of the solution, a key element of the proof, was devised, with all possible estimates presented (see figure below). Additionally, Fourier analysis techniques and partial differential equation (PDE) theory were employed. This research is expected to contribute to various fields where the inhomogeneous nonlinear Schrödinger equation is applicable. In particular, it will aid in understanding the complex behaviors of physical systems, such as optical phenomena in inhomogeneous media and wave propagation through inhomogeneous materials. Professor Seo, who led the research, commented, 'This achievement marks a turning point in the study of the inhomogeneous nonlinear Schrödinger equation and will deepen our understanding of physical systems in critical regimes.'
- No. 271
- 2024-11-07
- 564
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Leading a Sustainable Future with Eco-friendly Bamboo-based Materials: A New Path to Solving Social Issues
Professor Seo Jong-hwan's research team from the Department of Mechanical Engineering has successfully designed an eco-friendly material using bamboo for high-performance electrode materials and shortened the synthesis process for this material. Among various energy storage and conversion devices, supercapacitors (SCs) have been currently appealing considerable attention due to their high power density, long lifespan, fast charge-discharge rate, low maintenance cost, and environmental friendliness. Along with batteries, the SCs play an important role in many energy storage and conversion systems. Designing high-performance electrode materials for SCs from renewable sources and facile synthesis strategies is of very great interest in the long-term development of sustainable economy, society, and environment In this study, a bamboo-derived hierarchical porous carbon (BHPC) is directly prepared under air atmosphere via an eco-friendly, one-step, and easily-scalable salt-templating strategy using ZnCl2/KCl salt mixture as a pore-directing solvent. The obtained BHPC material exhibits a three-dimensional interconnected porous network with large specific surface area (1,296 m2 g−1) and large total pore volume (1.26 cm3 g−1). Electrochemical performance evaluated in a three-electrode system indicates a high specific capacitance of 394 F g−1 at 1 A g−1 and a good rate capacity with 76.14% capacitance retention at 20 A g−1. Also, the as-prepared symmetric supercapacitor delivers a high energy density of 11 Wh kg−1 at a powder density of 126 W kg−1, and an outstanding lifespan with 81% capacitance retention over 10,000 cycles. These results are superior to those of commercial active carbon and other biomass carbon-based symmetric SCs previously reported in the literature. Importantly, the concept of preparing high-value electrode materials from a cheap and renewable carbon source is expected to offer a new opportunity for future studies on porous carbon materials for wide-range energy conversion and storage applications, such as zinc-ion hybrid capacitors, metal-air batteries, and Li-S batteries. Related Journal: Nguyen, Tan Binh, et al. "A facile salt-templating synthesis route of bamboo-derived hierarchical porous carbon for supercapacitor applications."Carbon206 (2023): 383-391. Figure. (a) Preparation of bamboo-derived hierarchical porous carbon (BHPC), (b, c, d) structural characterization of BHPC, and (e, f, g) electrochemical performance of symmetric supercapacitors based on BHPC electrode materials.
- No. 270
- 2024-11-01
- 438
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Development of a Cancer diagnostic platform using Extracellular vesicles (EVs)
Sungkyunkwan University researchers led by Professor Jayeon Song, in collaboration with Massachusetts General Hospital(MGH), Harvard Medical School(HMS), and the Korea Research Institute of Bioscience and Biotechnology (KRIBB), have developed SCOPE (Self-amplified and CRISPR-aided Operation to Profile Extracellular Vesicles), an innovative diagnostic platform that dramatically improves the detection of extracellular vesicle (EV) mRNA. The study, titled “Amplifying mutational profiling of extracellular vesicle mRNA with SCOPE,” was published in the October 7, 2024 online edition of Nature Biotechnology (IF 33.1). Extracellular vesicles (EVs) released into the bloodstream by tumor cells carry important molecular information, including mRNA. The low concentration of EV mRNA in blood samples makes it difficult to precisely detect using conventional diagnostic methods, and the lack of specificity in detecting mutant mRNA in EVs has limited cancer diagnosis. Therefore, the research team developed a genetic diagnostic platform that can accurately identify even low concentrations of cancer mutations by utilizing the CRISPR-Cas13a system to specifically detect EV mRNA and mutant mRNA. The SCOPE (Self-amplified and CRISPR-aided Operation to Profile Extracellular Vesicles) diagnostic platform developed in this study uses CRISPR-Cas13a to distinguish specific cancer mutant sequences in extracellular vesicles down to a single nucleotide and trigger signal amplification, which can detect mutated genes (KRAS, BRAF, EGFR, and IDH1) with high sensitivity and specificity. It operates as a one-step isothermal reaction, providing rapid diagnostic results within 40 minutes with very low sample volumes. The developed diagnostic platform was applied to the early diagnosis of lung cancer in animal models, the diagnosis and recurrence monitoring of colorectal cancer patients, and the diagnosis of glioblastoma patients, confirming the clinical utility of liquid biopsy-based diagnostic systems. The new CRISPR technology-based diagnostic platform is expected to revolutionize cancer diagnosis by providing a highly sensitive and specific diagnostic method for tracking tumor-derived cancer mutated genes. *Paper: Amplifying mutational profiling of extracellular vesicle mRNA with SCOPE Figure. Published online October 7 in Nature Biotechnology. CRISPR technology-based diagnostic technique for profiling mutant genes in the extracellular vesicle. Development of an integrated system that accurately recognizes mutant genes using CRISPR-Cas13a/crRNA and enables quick and convenient diagnosis through on-site diagnostic equipment.
- No. 269
- 2024-10-25
- 575
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Prof. Ryu’s Microstructure Study in Derivatives Markets
Professor Doojin Ryu’s research team from the Department of Economics at SKKU has published an international collaborative research paper through the SKKU Global Research Platform, collaborating with Singapore Management University, CUNEF Universidad, and Willamette University. The study utilizes high-frequency microstructure data, collected in millisecond intervals from the derivatives market, to propose a new metric for evaluating investor sophistication and the complexity of their strategies. It also provides a novel perspective on the underlying motives driving derivatives trading. The analysis of various futures and options trading strategies across different market participants revealed that, while many retail investors engage in relatively simple option-based trades, institutional investors tend to implement more sophisticated volatility trading strategies that capitalize on the traditional characteristics of options. More complex strategies, such as option spreads, are employed by around 5% of institutional investors and about 1% of retail investors, indicating that relatively only a handful of market participants utilize these advanced strategies. The study comprehensively examines how investors employing sophisticated strategies achieve notable returns in the derivatives market. It also underscores that performance differences are pronounced even within the retail investor group—often considered noise traders—depending on the complexity and sophistication of their strategies. Furthermore, the study finds that the effectiveness and performance of investment styles that strategically leverage futures and options with varying strike prices and types exhibit persistence over time. This persistence cannot be fully explained by risk premium, providing new empirical evidence. The study also highlights the critical role that investor sophistication plays in shaping the pricing and liquidity dynamics of derivatives markets. This collaborative research paper, co-authored with international scholars who visited SKKU through the SKKU Global Finance Research Center, was published in July 2024 in Management Science, a leading journal in the field of management. Hu, J., Kirilova, A., Park, S.G., Ryu, D.* (2024), Who profits from trading options? Management Science, 70(7), 4167-4952. (DOI: 10.1287/mnsc.2023.4916) *Alphabetical order
- No. 268
- 2024-10-21
- 570
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Development of innovative platform based on artificial intelligence
Professor Lee, Eun-Ho and his research team has proposed a new method for evaluating and optimizing thermal and mechanical properties in complex semiconductor package designs, and implemented it into a program. This research has attracted great attention from academia and industry as it provides a comprehensive way to analyze thermal and mechanical properties to improve performance, secure reliability, and reduce design costs of semiconductor packages. Semiconductor package design has traditionally focused on electrical properties, but as highly integrated package designs evolve, thermal and mechanical properties are becoming increasingly important to ensure reliability. In recent years, the complexity of package patterns has increased significantly for applications such as chiplet structures, but it has been difficult in the field to determine the thermal and mechanical properties of all proposed designs due to the significant increase in design costs. Ph.D student Jeong-Hyeon Park and prof. Lee, Eun-Ho of the Department of Mechanical Engineering proposed a methodology to quickly obtain big data of thermal and mechanical properties of packages with complex patterns at low cost through numerical analysis and effectively analyze this big data through deep learning (see Figure 1). In addition, they collaborated with Samsung Electronics from 2021 to 2024 to verify the proposed methodology by applying it to Samsung Electronics' actual package blueprints. The verified methodology predicted thermal and mechanical properties in real time for new design drawings and created a property map to help Samsung Electronics with design (see Figure 2). The platform has applied for a national (10-2022-0129656) and US patent (18/206,278) with Samsung Electronics, and two international papers were published in 2022 (IEEE ACCESS, JCR top 34%) and 2024 (Applied Mathematical Modelling, JCR top 9%). Mr. Park won the best paper at the Spring Conference of the Korean Society of Precision Engineering in 2024, and Professor Lee won the 34th Outstanding Science and Technology Paper Award. He is also scheduled to give an invited talk at an international conference on the IMPACT package in Taiwan in October 2024. “This research provides an important tool for the integrated evaluation of the thermal and mechanical properties of semiconductor package designs, which will greatly improve the efficiency and reliability of package designs,” said Prof. Lee. His research team is currently working on a follow-up paper on a new thermal resistance network structure that can more effectively represent the thermal properties of semiconductor packages, and is collaborating with other universities and research institutes to expand the application of this platform. It is expected to set a new standard in semiconductor package design and optimization. [Figure 1] Thermal-mechanical property training model developing algorithm [Figure 2] AI based thermal-mechancial real time prediction program
- No. 267
- 2024-10-16
- 566
