PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 1, 2026Journal of Chemical Theory and Computation2 citationsOpen Access

Local Vibrational Mode Analysis of Phonon Dispersion Relations in Crystals

View Full Paper
MMMateusz MojsakFBFilippo BodoAEAlessandro Erba

Key Points

  • This research aims to analyze vibrational modes in crystalline materials at various wavevectors to understand phonon behavior.
  • Developed a framework for analyzing local vibrational modes in crystals.
  • Applied methodology to one-, two-, and three-dimensional materials such as graphene and perovskite.
  • Interpreted phonon dispersion relations based on interatomic interactions.
  • Identified how specific bonding patterns influence phonon dispersion relations.
  • Revealed insights into the microscopic origins of phonon behavior in crystalline systems.
  • Provided a quantitative tool for analyzing phonon spectra.

Abstract

We present a general framework for performing local vibrational mode analysis of vibrations in crystalline materials at arbitrary wavevectors throughout the Brillouin zone. The approach enables phonon dispersion relations to be interpreted in terms of chemically meaningful interatomic interactions and structural motifs, providing direct insight into the microscopic origins of the phonon behavior in periodic systems. We demonstrate the methodology for representative one-, two-, and three-dimensional materials including polymeric chains, graphene, and prototypical rock-salt and perovskite crystals. Across these systems, the analysis reveals how specific bonding patterns and structural features govern phonon dispersion relations. This framework provides a quantitative tool for the chemically intuitive analysis of phonon spectra and offers a pathway toward the rational design of phonon-dependent properties in crystalline materials.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Mojsak et al. (2026) studied this question.

synapsesocial.com/papers/69a3d747ec16d51705d2dcb9https://doi.org/10.1021/acs.jctc.6c00097
Ask AI
Helpful
Bookmark
Share
View Full Paper