Aerosols are a suspension of solid or liquid particles in a gas. They can influence the climate directly through scattering or absorption of solar radiation, or indirectly through their ability to act as cloud condensation nuclei. Tropospheric aerosols are comprised from an organic as well as inorganic phase with the organic phase being a major constituent. Organic aerosol composition is affected by both chemical and physical atmospheric processes in the gas and particle phase. Gas to particle partitioning is dependent on species volatility.

Therapeutic drug monitoring (TDM) is a quantitative test that measures drug dosage to prevent underdose or overdose in clinical practice ^[1]. Ultrahigh sensitivity and selectivity techniques such as mass spectrometry has superior advantages over traditional immunoassay technique in the diagnosis and quantification of therapeutic drug ^[2].

Methane, CH₄, is considered a pillar of the petrochemical industry. It is a major component of fossil fuels, a byproduct of waste decomposition, and a potent greenhouse gas. The potential of methane as a fuel source is greatly limited by the means in which this flammable gas may be transported. In this regard, functionalization of CH₄ to yield products that are liquids under ambient conditions holds great promise.

The project is based on the hypothesis that SCNPs can break the osmotic balance across the plasma membrane of cancer cells. Ion homeostasis is essential for maintaining the integrity of the plasm membrane and sustaining the normal cell functions. Breaking the homeostasis could disrupt the potential balance and interrupt essential cellular processes. Instead of using organic ionophores, we explore SCNPs as a new strategy to carry ions across the plasma membrane, eventually causing cancer cell death.

Detailed chemical kinetics mechanisms describing low-temperature combustion often include thousands of species and reactions due to the abundance of intermediates and their complex potential energy surfaces. While these mechanisms are necessary for accurately predicting species concentrations and global combustion metrics, they are often too large for practical engine simulations that require computational fluid dynamics.

Development of error correcting quantum computers for practical computations still lies out of reach. However, many algorithms have been designed for use with near-term quantum computers, commonly referred to as Noisy Intermediate-Scale Quantum (NISQ) devices. On such devices, there is a conflict between increasing computational power while maintaining a short quantum circuit depth. More circuits are needed to simulate more complex systems, but at the cost of a deeper quantum circuit which is often not achievable on NISQ devices.