Searcharxiv⌕ Search

arXiv · cond-mat/9909167

Clusters of interstitial carbon atoms near the graphite surface as a possible origin of dome-like features observed by STM

Abstract

Formation of clusters of interstitial carbon atoms between the surface and second atomic layers of graphite is demonstrated by means of molecular dynamics simulations. It is shown that interstitial clusters result in the dome-like surface features that may be associated with some of the hillocks observed by STM on the irradiated graphite surface.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

V. F. Elesin, L. A. Openov. 1999-09-11. Clusters of interstitial carbon atoms near the graphite surface as a possible origin of dome-like features observed by STM. https://doi.org/10.1016/s0039-6028(99)00893-6

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction

Metal-organic frameworks (MOFs) are promising materials for applications such as direct air capture, where performance depends on how adsorbates bind within the framework. Accurately predicting MOF-adsorbate configurations is therefore important for screening candidate materials. However, traditional approaches are computationally expensive and require a known host structure, while existing generative models rely on rigid-body assumptions and do not explicitly model adsorbates. We introduce AtomMOF, a scalable all-atom flow-matching model that jointly predicts MOF-adsorbate structures from discrete building blocks and adsorbates. Built on a Diffusion Transformer with a building block-based pairwise attention bias, AtomMOF operates in an unconstrained all-atom space and exhibits clear scaling behavior. To improve the structural validity of flexible all-atom models, we also propose Feynman-Kac (FK) steering with machine-learned interatomic potentials (MLIPs). On the BW dataset, AtomMOF achieves a 85.61% relative increase in match rate and a 34.32% relative reduction in RMSD compared with prior work. MLIP-guided steering further improves validity by 28.7% and reduces formation energy error by 86.5%. On ODAC25, AtomMOF generates adsorption configurations faster than GCMC and, when combined with MLIP relaxation, identifies lower-energy configurations than those in the reference dataset.

cond-mat.mtrl-sci↗

Surface-Dominated Anomalous Hall Effect in Altermagnetic MnTe Films

Altermagnets have recently emerged as a new class of magnetic materials that combine compensated magnetic order with spin-split electronic band structures. In this work, we employ molecular beam epitaxy to grow MnTe thin films with controlled thickness on InP(111)A substrates. Using angle-resolved photoemission spectroscopy, we observe a large spin splitting of $\approx 230$ meV for bulk bands well below the Fermi level and identify surface states that cross the Fermi level. Electrical transport measurements show that a robust anomalous Hall (AH) effect persists down to 2 K and an AH sign reversal occurs near 175 K. By systematically tuning film thickness, growth conditions, and interfacial structure, we demonstrate that the AH response in MnTe films originates from surface states rather than bulk bands. Our first-principles calculations reveal that this surface-dominated AH effect is imprinted by the bulk altermagnetic order and remains unchanged for terminations with opposite Mn magnetic orientations. Our results establish a unique surface transport probe of bulk altermagnetism, demonstrate interface engineering as an effective route to generate and control the AH effect in altermagnets, and provide a unified understanding of the AH response in altermagnetic MnTe films.

cond-mat.mtrl-sci↗

Computational discovery of cathode materials for rechargeable aqueous zinc-ion batteries

Rechargeable aqueous zinc-ion batteries (RAZIBs) attract major interest for deployment in grid-scale energy storage due to higher safety and lower cost when compared to lithium-ion batteries. However, currently studied cathode materials suffer from capacity fade when cycling at rates appropriate for grid-scale applications ($<$ C/2). To address the present limitation on cathode material availability, more than 2000 previously synthesized oxides, chalcogenides, Prussian blue analogues, and polyanion materials were computationally screened for the discovery of highly stable RAZIB cathode materials. The structural, electrochemical, and chemical properties of the materials were respectively evaluated through an investigation of the available Zn$^{2+}$ percolation paths, the stability of the material in aqueous media under RAZIB operation conditions, and the attained transition metal oxidation state during cycling. The transition metal oxidation state and intercalating ion coordination environment were determined to govern the magnitude of the calculated Zn$^{2+}$ intercalation potential, with this finding guiding the development of batteries with high operating voltages. Additionally, the bonding character of Fe-O bonds was contrasted between olivine-FePO$_4$ and $α$-FePO$_4$. The latter was successfully synthesized but was found to be electrochemically inactive as a cathode for RAZIBs. Finally, three previously synthesized materials, but unexplored as cathodes for RAZIBs (CaFe$_5$P$_5$O$_{22}$, RbV(PO$_4$)$_2$, and Mo$_2$P$_2$O$_{11}$), were identified to have high Zn$^{2+}$ intercalation potential, electrochemical stability, theoretical gravimetric capacity, and energy density, and are proposed here for further experimental testing. Overall, the materials identified in this study present a guide for the experimental development of stable next-generation cathode materials for RAZIBs.

cond-mat.mtrl-sci↗