The role of substrate bias and nitrogen doping on the structural evolution and local elastic modulus of diamond-like carbon films

TL;DR

This study investigates how substrate bias and nitrogen doping influence the structural evolution and local elastic properties of diamond-like carbon films, revealing correlations between bonding, density, and elastic modulus.

Contribution

It provides systematic analysis of the effects of substrate bias and nitrogen doping on DLC films' structure and elasticity, confirming the sub-implantation growth model.

Findings

Increased graphitic C=C sp2 bonding with higher substrate bias and nitrogen doping.

Density and hydrogen content vary significantly with doping and bias.

AFAM confirms formation of soft phases at high biases and with nitrogen doping.

Abstract

Diamond-like carbon (DLC) films are synthesized on Si using plasma enhanced chemical vapor deposition. The role of substrate bias and nitrogen doping on the structural evolution and local elastic modulus of DLC films are systematically investigated. Raman spectroscopic studies reveal that the amount of graphitic C=C sp2 bonding increases with substrate bias and nitrogen doping. The density and hydrogen concentration in the films are found to vary from 0.7 to 2.2 g/cm3 and 16 to 38 atomic %, respectively, depending upon the substrate bias and nitrogen concentration in the DLC films. Atomic force acoustic microscopic (AFAM) analysis shows a direct correlation between local elastic modulus and structural properties estimated by Raman spectroscopy, Rutherford back scattering and elastic recoil detection analysis. AFAM analysis further confirms the evolution of soft second phases at high substrate biases (> -150V) in undoped DLC films. Further, N doping leads to formation of such soft second phases in DLC films even at lower substrate bias of -100 V. The AFAM studies provide a direct microscopic evidence for the "sub-implantation growth model" which predicts the formation of graphitic second phases in DLC matrix at high substrate biases.