POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION

Development of memory cells utilizing resistive switching or phase-change materials, including novel material compositions, multi-layered structures, and integration with selector devices like bipolar junction transistors, to achieve non-volatile storage.

Design and manufacturing techniques for incorporating antenna structures directly into electronic devices, product housings, or materials, often under constraints of space, aesthetics, or environmental factors.

Antennas engineered to operate effectively across a wide continuous range of frequencies (broadband) or multiple distinct frequency bands, often requiring specific radiating element geometries or impedance matching circuits.

Focuses on the physical design, materials, and manufacturing processes for individual memory cells, including transistor structures, interconnects, and multi-layered (3D) architectures to enhance density and performance.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Systems and methods for electronically steering or shaping antenna beams by controlling the phase and amplitude of signals fed to individual elements in an array, including calibration techniques and multi-antenna configurations.

Techniques and structures used to reduce unwanted electromagnetic coupling, scattering, or interference between multiple antennas, different frequency bands, or sensitive electronic components within a device.

Devices leveraging superconductivity or quantum phenomena for applications such as quantum computing, high-efficiency power transmission, or sensitive detection, including materials like graphene Josephson junctions and quantum bits.

Active anode materials and manufacturing techniques for rechargeable lithium-ion batteries, including silicon-carbon composites, graphite, lithium-metal anodes, and electrode coating processes that improve capacity, cycle life, and rate capability.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Specific techniques and materials developed to remove persistent or difficult-to-treat pollutants from water, such as per- and polyfluoroalkyl substances (PFAS), micropollutants, or specific industrial chemicals.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Development and synthesis of catalysts with unique compositions or structures, such as medium entropy alloys, metal foam-supported catalysts, layered catalytic articles, or high-entropy oxides, to enhance activity, selectivity, or stability in chemical reactions.

Slurry compositions and coating processes for battery electrodes, including binder/active-material slurries, surface coating layers, and electrode-to-foil adhesion for cathode and anode.

Technologies enabling dynamic control over electromagnetic wave propagation using arrays of passive or active elements (unit cells) to reflect, refract, or absorb signals, often for channel optimization or energy efficiency.

Techniques for stacking multiple semiconductor dies or active layers vertically to achieve higher density and shorter interconnections, often utilizing through-silicon vias (TSVs) or other vertical conductive paths like through-hole electrodes.

Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Development of materials with tailored porosity, surface chemistry, or structure, such as metal-organic frameworks (MOFs), zeolites, or superficially porous particles, for selective adsorption, ion exchange, or chromatographic separations.

Engineering approaches to improve the efficiency, control, and performance of chemical reactors, encompassing continuous processes, heat exchange integration, and specialized reactor configurations for various chemical transformations.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.

Process and equipment for producing solid-state battery cells, including solid electrolyte synthesis (sulfide/oxide/polymer), thin-film deposition, lamination, sintering, dry-electrode fabrication, and stacking under controlled atmosphere.

Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Design and integration of thermoelectric modules for converting heat into electricity (power generation) or using electricity for cooling/heating, often involving p-type/n-type semiconductor pellets and waste heat recovery.

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Technologies and materials for capturing carbon dioxide from gas streams and subsequently converting it into valuable chemical products or materials, rather than simply storing it.

Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.

Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.

Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.

Processes and apparatus for disassembling spent batteries and recovering valuable materials (e.g., metals, electrolytes, plastics) through mechanical, chemical, or electrochemical methods for reuse or sustainable disposal.

Focuses on the mechanical design, articulation, and actuation of hand-held or robotic surgical instruments, including improvements in stapling, cutting, grasping, and tissue manipulation.

Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.

Therapeutic approaches involving the use of living cells, often genetically modified or ex vivo activated, to treat diseases, particularly cancer, by modulating immune responses or replacing damaged cells.

Therapeutic interventions that target immune checkpoint pathways to either enhance or suppress immune responses, often used in cancer immunotherapy or autoimmune diseases.