Shining light on molecules: exploring excited-state geometries

• Emanuele Mai (Sapienza Università di Roma)

Ultrafast molecular reactions, activated by light absorption, are governed by excited-state potential energy surfaces, which describe how the molecular potential varies as a function of the nuclear coordinates. Nature has tailored ad-hoc such surfaces to efficiently convert the absorbed light energy into specific molecular rearrangements, driving the biological function and the photo-chemistry by bond length modifications, torsional re-orientations, formation or rupture of chemical bonds. In this seminar we will explore the excited-state landscape involved in the initial stage of vision, following the molecular changes occurring in the retina after photo-excitation. We will also introduce cutting-edge experimental strategies for determining excited-state molecular geometries.

Dicussion

The role of Recommendation Algorithms in Opinion Polarization

• Giordano De Marzo (Sapienza Università di Roma)

Recommendation algorithms are widely used by major online companies to tailor users' online experiences. While they help us navigate the vast amount of content on the internet, they can also create filter bubbles that reinforce our existing beliefs. By means of analytical techniques, numerical simulations and data analysis, we explore the potential impact of these algorithms on social dynamics. Our research indicates that regardless of the algorithm employed, personalized recommendations can fuel opinion polarization and lead to a more fragmented society.

Discussion