Solving the "Magic Angle" Challenge in Determining Molecular Orientation at Interfaces
Zhiguo Li, Jiaxi Wang, Yingmin Li, Wei Xiong

TL;DR
This paper presents a new spectroscopic method to accurately measure molecular orientation heterogeneity at interfaces, overcoming the longstanding 'magic angle' ambiguity and enabling detailed analysis of molecular distributions.
Contribution
The authors developed a heterodyne two-dimensional sum frequency generation spectroscopy technique to determine both mean tilt angle and orientational distribution of molecules at interfaces, solving the 'magic angle' problem.
Findings
Successfully measured the tilt angle of CO2 reduction catalysts at 53 degrees.
Determined the orientational distribution width to be 5 degrees.
Demonstrated the method's applicability to various energy, catalytic, and biological interfaces.
Abstract
We introduce a novel method to determine the orientation heterogeneity (mean tilt angle and orientational distribution) of molecules at interfaces using heterodyne two-dimensional sum frequency generation spectroscopy. By doing so, we not only have solved the long-standing "magic angle" challenge, i.e. the measurement of molecular orientation by assuming a narrow orientational distribution results in ambiguities, but we also are able to determine the orientational distribution, which is otherwise difficult to measure. We applied our new method to a CO2 reduction catalyst/gold interface and found that the catalysts formed a monolayer with a mean tilt angle between the quasi-C3 symmetric axis of the catalysts and the surface normal of 53 deg, with 5 deg orientational distribution. Although applied to a specific system, this method is a general way to determine the orientation…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMolecular Junctions and Nanostructures · Various Chemistry Research Topics · Computational Drug Discovery Methods
