- AI-driven Automated Attack Response Strategy Generation System
- Development of Value-Added Resource Conversion Technology for Waste Plastic Pyrolysis Products
- Development of Wearable Neuromorphic Heterogeneous Integration Platform for SPAD-fNIRS-Based Pain Signal Quantification
- Identification of Novel Disease Markers Using Depression Patient-Derived iPSCs
- Development of Sustainable and Highly Functional Polymer Synthesis and Application Technologies for Future Mobility Regulatory Compliance
- AI-driven Discovery of Targeted Protein Degraders — CRBN-based Molecular Glue Degraders
- Ultra-Low-Latency Storage-Driven I/O Subsystem for Large Language Models
- Intelligent E-Skin Foundry Platform
- Korea Sustainable Hybrid Intensification for Fractionation Technology (K-SHIFT)
- kaist_prj10
- ARC-H2: Autonomous Robotics-driven Catalysts for Hydrogen with High Durability
- PFAS-free Research Initiative for Macromolecular Energy materials (PRIME)
- Center for Divertor Science and Innovation in Fusion Energy (D-SINE)
- Quantum teleportation with quantum dot photons of different colors using a system of PIC and ASIC
- Development of AI-Based Super-Gap Core Technology for Next-Generation Eco-Friendly Free-Form Displays
- Net-zero Seawater Refinery; An AI-Based Integrated Refinery Platform for Carbon Capture and Resource Recovery from Seawater
- Transcendent Material Innovation of Phase Transition Artificial Muscles for Soft Robotics
- Development of an AX-based Intelligent Disaster Prevention Platform for Ultra-Safe SMR Construction Against Extreme External Hazards
- nEAR-LINK Initiative: In-Ear Affective BCI-AI Research Network
- Center of AI-BASE (Brain Architecture, Simulation & Engineering)
- Spin-based Neuromorphic/Quantum Hardware Platform
- Green Carbon Capture via AI-assisted Chloroplast DNA Editing
- Digital Health Technologies for Prediction and Intervention in Neurodegenerative Diseases
- Development of AI-Biofoundry Integrated Platform for Rapid On-Site Detection of Polycarbonate Microplastics and BPA Upcycling
Korea Sustainable Hybrid Intensification for Fractionation Technology (K-SHIFT)
KEYWORDKeyword
OBJECTIVE Objective
We aim to fundamentally transform the century-old fossil-fuel-based thermal distillation paradigm into an ambient-temperature,
pressure-driven "Non-thermal Membrane-Distillation Hybrid Process." To achieve this, we will:
1) Develop Angstrom-scale solvent-resistant membrane materials capable of precisely fractionating hyper-complex organic mixtures;
2) Scale up to commercial large-area modules and complete "Drop-in" pilot demonstrations seamlessly integrated into existing processes;
and 3) Establish a digital twin-based process simulation and Life Cycle Assessment (LCA) platform to reduce petrochemical process energy by over 30% and significantly cut national greenhouse gas emissions.
INTRODUCTION Director's Message
Welcome to the K-SHIFT Research Project.
I lead the proejct as a principal investigator.
For over a century, industry has relied heavily on thermal distillation to separate its mixed components.
This highly energy-intensive and carbon-emitting paradigm has reached its physical limits.
The K-SHIFT project aims to break this barrier by pioneering “molecular refining” a technology that
precisely fractionates hyper-complex organic mixtures (e.g., hydrocarbons) using only pressure at room temperature,
a breakthrough mechanism recently published in Nature by our group.
By synergizing KAIST’s foundational science with KRICT's robust scale-up infrastructure,
we will transform scientific discoveries into engineering realities ready for immediate deployment in massive industrial plants.
We invite passionate researchers to join K-SHIFT and leading the global decarbonization era
IMPACT Impact
By utilizing a "Drop-in" approach that integrates membrane modules directly into existing piping without dismantling existing infrastructures, we maximize industrial applicability.
● This innovation reduces separation energy by 20-30% immediately without downtime risks or stranded costs, potentially slashing CO2 emissions by 10 million tons annually in the refining and petrochemical sectors
● This "Molecular Refining" foundational technology seamlessly expands beyond crude refining into next-generation circular economy sectors, including waste plastic pyrolysis oil upcycling, battery solvent recovery, and sustainable aviation fuel (SAF) refining, establishing itself as a global platform technology.
TALENT Ideal Talent
A researcher with a holistic "Lab-to-Fab" mindset, bridging the gap between fundamental Angstrom-scale material synthesis, large-scale module fabrication, and process system simulation.
● A pioneer who tackles real-world industrial challenges involving extreme environments and hyper-complex real feeds.
● A next-generation leader who communicates and collaborates effectively within a highly integrated industry-academia-research ecosystem