TY - JOUR
T1 - Synergistic orbital coupling and descriptor-driven engineering of dual-atom catalysts on N-doped graphene for high-performance Li-S batteries
T2 - A first-principle perspective
AU - Meeladi, Ghulam
AU - Zhu, Haiyan
AU - Wu, Chou
AU - Jia, Shaobo
AU - Chen, Shanlin
AU - Shang, Jianxiao
AU - Li, Tingting
AU - Shah, Mushahid Hussain
AU - Shahid Iqbal, Muhammad
AU - Li, Yawei
N1 - Publisher Copyright:
© 2026 Elsevier Ltd
PY - 2026/3/20
Y1 - 2026/3/20
N2 - Lithium‑sulfur (Li-S) batteries are regarded as promising next-generation energy storage systems due to their high theoretical specific energy and economic feasibility. Nevertheless, critical challenges such as the lithium polysulfide shuttle effect and sluggish redox kinetics continue to impede their practical implementation. To overcome these limitations, designing highly active and stable catalysts is crucial. Graphene with abundant pyridinic nitrogen sites and a two-dimensional porous framework provides an excellent substrate for supporting dual-atom catalysts (DACs). Herein, we designed 15 nitrogen-doped graphene-supported DACs, denoted as M1M2@N6-G (M1, M2 = V, Fe, Cu, Zr, Nb, Pt). The potential of these materials as sulfur hosts was systematically investigated through density functional theory (DFT) calculations. The findings reveal that the coupling of distinct molecular orbitals between metal atoms in heteronuclear DACs effectively tunes the spin states, thereby enhancing polysulfide anchoring and catalytic activity beyond that of homonuclear and single atom counterparts. The results indicate that CuFe@N6-G demonstrates superior catalytic performance, arising from its low Gibbs free energy (0.65 eV) in the rate-determining step of the discharge process and its reduced Li2S decomposition energy barrier (0.97 eV) during charging. Specifically, the integrated crystal orbital Hamilton population (ICOHP) serves as an effective electronic descriptor, particularly in relation to the dissociation energy barrier of Li2S during the charging process. This theoretical study offers actionable insights for developing advanced energy storage systems.
AB - Lithium‑sulfur (Li-S) batteries are regarded as promising next-generation energy storage systems due to their high theoretical specific energy and economic feasibility. Nevertheless, critical challenges such as the lithium polysulfide shuttle effect and sluggish redox kinetics continue to impede their practical implementation. To overcome these limitations, designing highly active and stable catalysts is crucial. Graphene with abundant pyridinic nitrogen sites and a two-dimensional porous framework provides an excellent substrate for supporting dual-atom catalysts (DACs). Herein, we designed 15 nitrogen-doped graphene-supported DACs, denoted as M1M2@N6-G (M1, M2 = V, Fe, Cu, Zr, Nb, Pt). The potential of these materials as sulfur hosts was systematically investigated through density functional theory (DFT) calculations. The findings reveal that the coupling of distinct molecular orbitals between metal atoms in heteronuclear DACs effectively tunes the spin states, thereby enhancing polysulfide anchoring and catalytic activity beyond that of homonuclear and single atom counterparts. The results indicate that CuFe@N6-G demonstrates superior catalytic performance, arising from its low Gibbs free energy (0.65 eV) in the rate-determining step of the discharge process and its reduced Li2S decomposition energy barrier (0.97 eV) during charging. Specifically, the integrated crystal orbital Hamilton population (ICOHP) serves as an effective electronic descriptor, particularly in relation to the dissociation energy barrier of Li2S during the charging process. This theoretical study offers actionable insights for developing advanced energy storage systems.
KW - DFT
KW - Dual-atom catalysts
KW - Li-S batteries
KW - lithium-polysulfides
UR - https://www.scopus.com/pages/publications/105027541979
U2 - 10.1016/j.est.2025.120051
DO - 10.1016/j.est.2025.120051
M3 - Article
AN - SCOPUS:105027541979
SN - 2352-152X
VL - 151
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 120051
ER -