Materials Design
Material design is a scientific approach that uses molecular modeling, simulations, and artificial intelligence (AI) to predict and optimize material properties and performance. By leveraging these computational techniques, we reduce repetitive experiments, accelerate development, and create customized, cost-effective materials for diverse industrial applications
Energy Materials Development
With the growing demand for renewable energy, the efficiency and sustainability of energy storage and conversion materials are becoming increasingly important. By predicting critical properties such as thermal stability and electrochemical performance in advance, we enable the development of more efficient and sustainable energy materials.
- Key Predicted Properties : Thermal & structural stability, electrochemical properties, diffusion rate, surface adsorption/desorption characteristics, gas adsorption capacity
- Industry Applications : Lithium-ion batteries, Energy Storage Systems(ESS), hydrogen fuel cells, solar cells, electric vehicle materials, environmental & energy solutions
Dye and Pigment Design
Molecular modeling techniques are applied to predict the key properties of dyes and pigments utilized in displays, advanced electronics, solar cells, and conventional dye industries. Molecular structure optimization and AI-based property optimization precisely meet industry-specific specialized requirements.
- Key Predicted Properties : Molecular & crystal structure, absorption/emission wavelength and intensity, optimization of mixture composition
- Industry Applications: : OLED and displays, high-performance paints, optoelectronic/optical recording devices, solar cells
Nano Materials and Device Development
Innovative nanomaterials are developed by precisely designing the unique physical and chemical properties expressed at the nanometer scale that go beyond the limitations of conventional materials. A system predicting and analyzing complex nanoscale properties – from quantum effects to surface phenomena – is established to expand the possibilities of new nanoscale materials.
- Key Predicted Properties : Molecular structure, electronic structure, bandgap energy, electrostatic moment, magnetization
- Industry Applications : Semiconductor devices, optical recording devices, solar cells, optoelectronic devices, sensor technology
Electronic Materials Design
We understand and predict the properties of electronic materials essential for advanced electronic industries including semiconductors at the molecular level. Through the design of innovative electronic materials and the development of comprehensive virtual databases, we contribute to creating customized electronic materials that meet specific industrial requirements.
- Key Predicted Properties : Molecular structure, electronic structure, bandgap energy, absorption/emission wavelength & intensity, UV/VIS spectrum, dielectric constant, mechanical properties
- Industry Applications : Semiconductor devices, solar cells, optoelectronic devices, flat-panel displays, mobile phones
Polymer and Surfactant Design
The diverse properties of polymers and surfactants – including miscibility, phase equilibrium, mechanical characteristics, and structural features – are precisely modeled. Enhanced polymers are designed through computational simulations and AI predictive frameworks. By predicting the properties of AI-based mixtures, optimal compositions of polymer materials containing various components can be anticipated. Innovative materials with superior thermodynamic, mechanical, and electromagnetic characteristics can be developed efficiently.
- Key Predicted Properties : Dispersibility, degree of mixing, mechanical behavior/properties, diffusion rate, cohesion, surface adsorption/desorption characteristics, phase equilibrium, mixture composition optimization
- Industry Applications : Semiconductors, LCD, organic thin films, cosmetics, tires, inks, drug delivery systems
Catalyst and Porous Materials Design
We conduct comprehensive research on catalytic functions in chemical reactions to identify the fundamental mechanisms governing chemical processes. Through detailed chemical and structural analysis of porous materials, we precisely identify catalytic active sites and engineer innovative catalyst architectures to enhance industrial efficiency.
- Key Predicted Properties : Mechanisms of substance formation and decomposition, reaction rate and adsorption capacity, activation energy, gas separation characteristics, prediction and analysis of pore structure
- Industry Applications : Zeolite, plating, semiconductors (CVD), fuel cells, gas sensors, petrochemicals (separation/purification)
Key Strengths of Materials Design Research
By integrating molecular modeling, simulation, and AI, we achieve high consistency with experimental results, significantly improving the success rate of material development.
Virtual experiments dramatically reduce the material development timeline and R&D costs, enabling rapid market response and securing competitive advantage.
Through environmentally conscious material design and process optimization, we minimize carbon emissions while leading the development of sustainable materials aligned with circular economy.
Our specialized material design capabilities reflect each industry’s unique demands and regulatory environment, directly contributing to strengthening corporate competitiveness.
Materials Design Consulting
Insilico offers innovative Materials Design Consulting services by integrating molecular modeling, molecular dynamics simulations, quantum chemical calculations, and AI-based predictive models. From atomic-scale behavior to macroscopic properties, our multi-scale modeling accurately predicts and optimizes material performance.
Our expert research team systematically designs customized materials optimized for customers’ target properties. This approach significantly reduces the number of candidate materials requiring experimental validation, thereby maximizing R&D efficiency and increasing the likelihood of successful material innovation.