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Revealing Strong Public Support for Hydrogen Fuel Cell Trucks
2026-01-13
Researchers assess public willingness to pay for expanding hydrogen fuel cell heavy-duty trucks to reduce transport emissions Hydrogen fuel cell heavy-duty trucks offer a cleaner alternative to diesel transport, but public support is essential for large-scale adoption. In a new study, researchers surveyed households in South Korea to measure willingness to pay for expanding hydrogen truck deployment. The results show stron...
Developing VFF-Net, A Revolutionary Alternative to Backpropagation That Transforms AI Training
2025-10-16
The proposed algorithm applies the concept of forward-forward network to CNNs, avoiding away traditional back-propagation and its limitations
Conventionally, deep neural networks (DNNs), including convolutional neural networks (CNNs), are trained using backpropagation—a standard algorithm in AI learning. However, backpropagation suffers from several limitations, such as high computational cost and overfitting. Researchers h...
Discovering Breakthrough Materials for Removing Pharmaceuticals from Wastewater
2025-10-16
Researchers study the adsorption characteristics of fluorinated covalent organic polymers against environmentally persistent pharmaceuticals
Beta-blockers, like atenolol (ATL) and metoprolol (MTL), are widely prescribed to treat cardiovascular conditions. However, they tend to persist in the environment, ending up in water sources, affecting aquatic life. In a new study, researchers investigated fluorinated covalent organic...
Developing AI-Based Patent Abstract Generator to Discover and Detail Technology Opportunities
2025-10-16
The revolutionary machine-learning system translates patent vacancy into plain English texts, accelerating innovation discovery and R&D strategies
Identifying and interpreting vacancies in patent maps is a promising approach to discover technological opportunities. However, it remains a challenging task. Recently, scientists from Seoul National University of Science and Technology have developed an innovative machine learning...
Developing 3D-Printed Carbon Nanotube Sensors for Smart Health Monitoring
2025-09-25
Researchers develop new carbon nanotube-based nanocomposites, optimized specifically for vat photopolymerization type 3D printing Additive manufacturing, also known as 3D printing, has proven transformative for fabricating electrically conductive polymer nanocomposites that incorporate carbon nanotubes. However, existing methods struggle to achieve high stretchability while maintaining electrical conductivity, limiting prac...
A New Comprehensive Safety Assessment Framework for Liquid Hydrogen Storage Systems in UAVs
2025-09-25
The comprehensive assessment framework can lead to more widespread adoption of greener and more sustainable hydrogen propulsion system in UAVs
Hydrogen propulsion systems have emerged as a sustainable and more eco-friendly alternatives for unmanned aerial vehicles (UAVs). Despite extensive research, previous studies focused on standalone performance evaluations for liquid hydrogen storage systems in UAVs. In a new stu...
Uncovering High PAHs in Common Foods
2025-09-12
The study reveals hidden carcinogens in cooking oils and meats using advanced QuEChERS-GC-MS detection method
Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic compounds introduced in food due to cooking methods such as smoking, grilling, and frying. Recently, researchers from Seoul National University of Science and Technology have leveraged a new method called QuEChERS-GC-MS to extract and detect PAHs in common food item...
Developing Artificial Synapses That Mimic Human Brain Function for Next-Gen AI Chips
2025-09-02
The innovative organic materials proposed by Dr. Eunho Lee and his team bring us closer to brain-like computer processors
In the Materials Horizons Emerging Investigator Series, Dr. Eunho Lee from SeoulTech talks about his recent study on novel organic semiconductor materials with glycol side chains that enhance artificial synapses by shifting from surface-limited to bulk-mediated ion transport mechanisms. The research demo...
Developing Hybrid Polymer-CNT Electrodes for Safer Brain-Machine Interfaces
2025-09-01
Flexible carbon nanotube-based electrodes achieve high conductivity in brain connections with minimum tissue damage Implantable microelectrodes that can safely capture brain activity are critical in neuroscience technologies. In a recent study, researchers from South Korea have developed a new class of polymer-carbon nanotube (CNT) based hybrid microelectrode arrays, which combine high electrical conductivity with mechanical soft...
Developing Ultra-Lightweight Memory Manager That Transforms Embedded System Performance
2025-08-30
The revolutionary software could dramatically boost the performance of billions of smart devices
Embedded systems such as Internet of Things (IoT) devices and single-board computers require careful memory allocation management. In a recent breakthrough, SeoulTech researchers have proposed LWMalloc, a lightweight dynamic memory allocator designed for resource-constrained environments like IoT devices and embedded systems. The rese...
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About SEOULTECH
Vision and Goal
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