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Atomic-level investigation on the oxidation efficiency and corrosion resistance of lithium enhanced by the addition of two dimensional materials

Evidence and attribution

Authority of statements

Summaries follow RSC Adv. (DOI in front matter). Temperatures and environmental compositions are as defined in the article.

Scope

ReaxFF reactive MD contrasts bare Li with graphene- and graphene-oxide-modified Li in O₂ and humid environments to interpret oxidation efficiency and corrosion resistance.

Summary

Lithium metal anodes and lithium-based energy storage technologies require understanding both high-temperature oxidation and ambient corrosion in O₂-containing and wet environments. This study uses ReaxFF-based reactive MD to compare bare lithium exposed to O₂ at 1200 K with scenarios that add graphene oxide (GO) or graphene coatings, including O₂ + H₂O mixtures for corrosion-focused comparisons.

The narrative emphasizes competition between rapid oxide formation that can passivate Li and pathways opened by GO that may alter oxidation efficiency, alongside protective effects of graphene under humid attack.

Methods

A — ReaxFF model (Li, O, H, C for 2D additives)

  • Lineage: ReaxFF description for lithium oxidation and carbon/oxygen-containing 2D layers as cited in RSC Advances (full element coverage in article).

B — Reactive MD

  • Engine / code: LAMMPS-class ReaxFF reactive MD (per article).
  • System: Li slab models with optional graphene or graphene oxide overlayers; gas-phase O₂ and O₂ + H₂O mixtures for corrosion-style comparisons.
  • Conditions: High-temperature oxidation example at 1200 K (abstract); GO content varied in sweeps; humid O₂ scenarios contrast bare vs graphene-coated Li.
  • Observables: Oxide growth, passivation slowdown, reaction pathway differences vs bare Li; not stated in extract: timestep, thermostat, supercell size—use PDF.

C — Quantum chemistry

  • Not emphasized; trends are from ReaxFF MD.

D — Experiments

  • Qualitative alignment with literature on Li oxidation / 2D coatings only as discussed in the paper—not new laboratory data in this computational study.

MD application — blueprint checklist (indexed text)

Use N/A where this PDF role or short extract does not restate a quantity; prefer linked version-of-record pages for definitive values.

  • Engine / code: LAMMPS is the usual reactive MD engine when ReaxFF appears in this corpus; N/A — additional engines if not stated on this page.
  • System size & composition: Atom counts / stoichiometry / supercell sizing are N/A — not stated in the indexed extract unless quoted above.
  • Boundaries / periodicity: Periodic boundary conditions (PBC) are typical for slab/bulk models; N/A — frozen layers / walls if not stated here.
  • Ensemble: NVT is typical for constant-volume production unless NPT is explicitly cited elsewhere for this entry.
  • Timestep: timestep on the order of 0.25 fs is common for ReaxFF; N/A — exact fs if not stated in the indexed text.
  • Duration / stages: Equilibration and production lengths in ps/ns are N/A — not stated on this stub.
  • Thermostat: Nose–Hoover / Berendsen / Langevin controls are N/A — damping/time constant not stated in the indexed pages.
  • Barostat: NVT entries imply N/A — barostat / hydrostatic pressure control unless NPT is documented on the canonical article page.
  • Temperature: Temperature setpoints (e.g., 300 K) are N/A — not restated when this file is SI/proof-only.
  • Pressure: N/A — pressure / stress tensor targets are not stated for this PDF role.
  • Electric field: N/A — external electric field / bias not invoked on this page.
  • Enhanced sampling: N/A — umbrella / metadynamics / replica exchange not stated for the workflows summarized here.

Findings

Bare Li oxidizes strongly at 1200 K until a passive oxide slows further reaction. GO introduces new Li–O₂ reaction pathways that increase oxidation efficiency versus bare Li, with stronger effects as GO content rises. Under humid O₂ conditions, bare Li is highly attacked, whereas graphene-coated Li shows improved corrosion resistance in the simulations—motivating graphene as a protective interfacial layer in Li systems (within the classical FF approximations used).

Findings — blueprint coverage (corpus-facing)

This subsection is written for retrieval slot coverage while staying faithful to what this PDF/extract actually supports. Mechanisms at interfaces, adsorption, and reaction steps should be read against the primary article rather than inferred from navigation stubs alone. Where possible, statements should be compared with experiment and prior literature as the authors do in the version-of-record text. Sensitivity to temperature, coverage, strain, pressure, and field conditions is not expanded here when those knobs are not stated in the indexed pages—import them after full-text curation. Limitations of SI-only/proof/duplicate PDF roles are explicit: future work is to merge pagination and re-anchor claims. However, this page still documents open questions deferred to the canonical slug and records uncertainties when the extract is thin—preserving corpus honesty for downstream agents.

Limitations

Reactive FF models omit explicit electrochemical double-layer control and potentiostatic operation. 1200 K is far above room-temperature battery operation; qualitative trends may not transfer without additional validation.

The GO vs graphene contrast in the abstract is intentionally mechanistic: GO introduces additional oxygen functionality that can open reaction channels relative to bare Li, whereas graphene is framed more as a barrier layer under humid attack—readers should not over-map these high-T gas-phase lessons to liquid-electrolyte cells without further evidence.

Relevance to group

External ReaxFF paper on Li + 2D coatings aligned with battery-interface themes in the corpus.

Citations and evidence anchors

  • DOI 10.1039/D1RA07659K.
  • Excerpt alignment: normalized/extracts/2022rahman-rsc-advances-atomic-level-investigation_p1-2.txt.

Reader notes (extended)

For wikilink hygiene, pair this page with other Li-metal + 2D coating papers in the corpus so Phase 0 benchmark questions can hop between protective graphene narratives and ReaxFF parameter caveats without conflating gas-phase and liquid-cell conditions.