Research Areas

Yair’s research aims to accelerate the development of current and future energy-related technologies by providing atomistic-level understanding of key processes ocurring at liquid-solid interfaces.

His primary system of interest include organic/inorganic, aqueous, and electrified interfaces. To tackle these challenges, Yair utilizes advanced first principles methods and employs machine learning techniques to achieve the accuracy and model complexity required by scientific question. Yair has developed theoretical methods to calculate (quantum) reaction rates and various types of spectroscopies, such as, tip-enhanced Raman, sum-frequency generation, among others. He enjoys collaborating with experimentalists and theoreticians alike.