Skip to content

Interfacial Li-ion localization in hierarchical carbon anodes

Summary

The work studies lignin-derived hierarchical carbon anodes that combine nanoscale crystallites within an amorphous carbon matrix, motivated by low-cost energy storage. Using reactive molecular dynamics on an experimentally validated atomistic model, the authors characterize how Li\(^+\) is stored and show that storage is dominated by localization at interfaces between crystalline carbon domains rather than classical graphitic intercalation. The hierarchical microstructure is motivated by experimental carbons where crystallites are embedded in disordered carbon formed during pyrolysis of lignin precursors.

Methods

The carbon composite structure varies with lignin pyrolysis temperature; the authors analyze one atomistic model from prior work matched to a composite pyrolyzed at 1500 °C: mass density 1.51 g cm⁻³, nanocrystallites about 7 Å in radius, and equal volume fractions of crystalline and amorphous carbon. The lithiated supercell contains 75,795 C, 32,353 H, and 5,012 Li atoms inside three-dimensional periodic boundaries to capture crystalline–amorphous interfaces.

After energy minimization, the parent unlithiated structure is re-equilibrated with ReaxFF in the NVT ensemble using a Nosé–Hoover thermostat, then lithiated and propagated in LAMMPS with Δt = 0.25 fs and charge equilibration every timestep to represent Li⁺ charge transfer in the carbonaceous environment (Section 2 of the Carbon article). One quoted equilibration segment holds 298 K for 224 ps before analyzing Li⁺ distributions. Barostat-driven NPT production, static external electric fields, and bias-based enhanced sampling are not highlighted in the protocol summary prepared for this page—confirm in the full PDF if extending the workflow.

Force-field training. N/A — applies cited ReaxFF parametrizations for C/H/Li.

Static QM / DFT. N/A — DFT is not the primary method for these large cells.

Findings

Li⁺ localizes at interfaces between nanoscale crystalline carbon domains and the amorphous carbon matrix rather than by classical graphitic intercalation between extended basal stacks. The work positions hierarchical lignin-derived carbon storage relative to graphite-like intercalation narratives in the introduction. Results are tied to the 1500 °C-matched descriptor set (density, crystallite size, crystalline volume fraction) in Methods. The discussion addresses idealized atomistic models, kinetic accessibility of binding sites, and chemisorption versus physisorption basins on MD timescales—see the Carbon PDF for the full argument.

Limitations

Electrochemical potential control and explicit electrolyte species are outside the excerpts summarized here. When reproducing or extending the study, confirm ensemble choices, any NPT segments, and total trajectory budgets from the full Carbon article rather than this summary alone.

Relevance to group

Illustrates reactive atomistic modeling of Li storage in complex carbon microstructures adjacent to battery interface and carbon materials themes.

Citations and evidence anchors