Development of biomass-derived adsorbents for the removal of pollutants in water

Integration of MOF-based adsorbents for the effective removal of persistent organic pollutants in water

Anodic nanostructures for (photo)electrochemical degradation of organic pollutants in water

Photocatalytic degradation of emerging contaminants in water using doped MOFs and Z-scheme heterojunction catalysts

Impregnated natural zeolites as intake filters for gasoline engines, enhancing fuel efficiency and reducing emissions

Synthesis of functionalized nanoparticles for the sensitive detection of environmental pollutants and biologically significant molecules

Nanoparticle-based sensing platforms for the detection of environmental pollutants

Density functional theory for designing next-generation semiconductors, 2D materials, and high entropy alloys

Grand Canonical Monte Carlo simulation for tailored adsorbent design, optimizing material properties for specific environmental applications

Molecular dynamics simulation to model and understand adsorption processes at the atomic scale

High-throughput virtual screening and molecular dynamics for the design of novel drug therapies

Ligand-based and structure-based drug design approaches to identify and optimize potential drug candidates

Using generative AI models for de novo design of anticancer therapies, accelerating drug discovery with predictive algorithms

Integration of bio-based fire-retardant coatings, enhancing fire resistance and sustainability

Superhydrophobic and superoleophilic coatings for improved oil recovery

Bio-based corrosion protection coatings, offering eco-friendly alternatives to conventional anti-corrosion treatment

Development of bio-based phase change materials for latent heat thermal energy storage

Waste valorization, focusing on process optimization and reactor design for renewable energy production