Data-driven synthesis,
from pores to performance.

AI-guided materials designAI 기반 소재 설계

Machine-learning models trained on synthesis conditions, structure and measured performance propose the next candidates. Foundation machine-learning interatomic potentials screen catalyst surfaces before anything is made; potential-resolved microkinetic models map selectivity; active learning decides which experiment is worth running. Large-language-model literature mining builds datasets where none exist yet, with every extracted number traced back to its source.

The goal is not a model for its own sake but a shorter path from a question to a material in hand.

• Machine-learning interatomic potentials
• Computational hydrogen electrode · NEB
• Microkinetic modelling
• Active learning
• Literature mining

Nanoporous materials synthesis나노다공성 소재 합성

Sol–gel, hydrothermal and solvothermal routes to aerogels, metal oxides, metals and metal sulfides with controlled porosity, composition and interfaces. Supercritical and ambient-pressure drying preserve open frameworks. Pore geometry, connectivity and surface chemistry are quantified by gas physisorption, electron microscopy, X-ray diffraction and X-ray photoelectron spectroscopy, and treated as design variables rather than outcomes.

• Sol–gel chemistry
• Aerogels
• Supercritical drying
• Hydrothermal · solvothermal
• Physisorption · SEM/TEM · XPS · XRD

Adsorption & separation흡착 및 분리

Electrified CO₂ capture and release, heavy-metal removal and molecular separation on porous interfaces where binding can be switched by potential rather than by heat. High-surface-area frameworks give every site a path in and a path out, so that capacity and rate are measured on the same material.

• Electrified CO₂ capture
• Cation effects on MnO₂
• Heavy-metal removal
• Selective binding

Catalysis촉매

Electrocatalytic water splitting on noble and non-noble metals, binary and ternary oxides and layered double hydroxides; ammonia oxidation for direct ammonia fuel cells and nitrogen remediation; plasma-assisted electrochemistry for direct methane partial oxidation and NOₓ reduction. Aerogel electrocatalysts give active sites open transport paths, so that what is measured is the chemistry and not the diffusion limit.

• HER · OER
• Ammonia oxidation
• Plasma-electrochemistry
• Noble-metal-lean catalysts
• Layered double hydroxides

Electrochemistry전기화학

High-surface-area porous electrodes and supports for electrochemical energy conversion and storage: electrolyzers, supercapacitors and battery electrodes built from hierarchical porous metal oxides and carbons, where ion transport and interfacial reactions meet.

• Electrolyzers
• Supercapacitors
• Battery electrodes
• Porous carbon and oxide supports