CoChat
Sign Up
Cited by 217Machine Learning in Materials Science2D Materials and ApplicationsCrystal Structures and Properties

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Data Mining for New Two- and One-Dimensional Weakly Bonded Solids and Lattice-Commensurate Heterostructures

Cheon, Gowoon, Duerloo, Karel-Alexander N., Sendek, Austin D., Porter, Chase, Chen, Yuan, Reed, Evan J.·2017·Nano Letters
DOI 10.1021/acs.nanolett.6b05229
Open this paper in CoChat — free account

Abstract

Layered materials held together by weak interactions including van der Waals forces, such as graphite, have attracted interest for both technological applications and fundamental physics in their layered form and as an isolated single-layer. Only a few dozen single-layer van der Waals solids have been subject to considerable research focus, although there are likely to be many more that could have superior properties. To identify a broad spectrum of layered materials, we present a novel data mining algorithm that determines the dimensionality of weakly bonded subcomponents based on the atomic positions of bulk, three-dimensional crystal structures. By applying this algorithm to the Materials Project database of over 50,000 inorganic crystals, we identify 1173 two-dimensional layered materials and 487 materials that consist of weakly bonded one-dimensional molecular chains. This is an order of magnitude increase in the number of identified materials with most materials not known as two- or one-dimensional materials. Moreover, we discover 98 weakly bonded heterostructures of two-dimensional and one-dimensional subcomponents that are found within bulk materials, opening new possibilities for much-studied assembly of van der Waals heterostructures. Chemical families of materials, band gaps, and point groups for the materials identified in this work are presented. Point group and piezoelectricity in layered materials are also evaluated in single-layer forms. Three hundred and twen…

Overview

Integrity signals

Registry

Crossref · 10.1021/acs.nanolett.6b05229

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • GNoME-based discoveries increase the number of stable layered materials from approximately 1,000 to about 52,000.

    “Methods from previous studies45 suggest that approximately 1,000 layered materials are stable compared with the Materials Project, whereas this number increases to about 52,000 with GNoME-based discoveries.”

    From Scaling deep learning for materials discovery (2023) · cites this paper as [45]

  • To count the number of layered materials, the methodology developed in ref. 45 is used, made available through the pymatgen.analysis.dimensionality package with a default tolerance of 0.45 Å.

    “To count the number of layered materials, we use the methodology developed in ref. 45, which is made available through the pymatgen.analysis.dimensionality package with a default tolerance of 0.45 Å.”

    From Scaling deep learning for materials discovery (2023) · cites this paper as [45]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 75

  1. 10.1063/1.1704046 · DOI
  2. 10.1143/ptp/5.4.544 · DOI
  3. 10.1063/1.1704281 · DOI
  4. 10.1016/j.surfcoat.2003.10.022 · DOI
  5. 10.1126/science.1226419 · DOI
  6. Nagaura T., 1990, Prog. Batter. Sol. Cells, 9, 209
  7. Ohzuku T., 1994, J. Electrochem. Soc., 141, 2972, 10.1149/1.2059267 · DOI
  8. 10.1016/j.jssc.2010.02.021 · DOI
  9. 10.1021/jp980114l · DOI
  10. 10.1016/j.micromeso.2007.03.011 · DOI
  11. Terasaki, I.In ICT 2005. 24th International Conference on Thermoelectrics, Clemson, SC, USA; 2005; IEEE Xplore: 2005; pp301–306. · DOI
  12. 10.1088/0508-3443/9/9/306 · DOI
  13. 10.1016/j.mattod.2014.10.040 · DOI
  14. 10.1039/c0jm04225k · DOI
  15. 10.1016/j.elecom.2009.12.033 · DOI
  16. 10.1149/2.035112jes · DOI
  17. Shakouri, A.; Zebarjadi, M.InThermal Nanosystems and Nanomaterials;Volz, S., Ed.Springer Berlin Heidelberg:Berlin, Heidelberg, 2009; pp225–299. · DOI
  18. 10.1002/pssa.201228505 · DOI
  19. 10.1038/ncomms5035 · DOI
  20. 10.1126/science.1136836 · DOI
  21. 10.1038/nnano.2010.279 · DOI
  22. 10.1126/science.1102896 · DOI · Paper page
  23. 10.1103/PhysRevLett.98.196806 · DOI
  24. 10.1038/nature08582 · DOI
  25. 10.1021/nn4022422 · DOI
  26. 10.1039/C4CS00102H · DOI
  27. 10.1021/acsnano.5b05556 · DOI
  28. 10.1038/srep06346 · DOI
  29. 10.1039/C5CS00758E · DOI
  30. 10.1002/aenm.201401742 · DOI
  31. 10.1109/LED.2009.2034116 · DOI
  32. 10.1038/natrevmats.2016.42 · DOI
  33. 10.1038/nature12385 · DOI
  34. 10.1103/PhysRevX.3.031002 · DOI
  35. Mounet, N.; Gibertini, M.; Schwaller, P.; Merkys, A.; Castelli, I. E.; Cepellotti, A.; Pizzi, G.; Marzari, N. (2016, arXiv:1611.05234. · arXiv
  36. 10.1103/PhysRevLett.93.176602 · DOI
  37. 10.1103/PhysRevLett.83.5334 · DOI
  38. 10.1103/PhysRevLett.96.076601 · DOI
  39. 10.1016/j.pmatsci.2008.09.001 · DOI
  40. 10.1002/adma.200390087 · DOI · Paper page
  41. 10.1126/science.1222453 · DOI
  42. James, D. K.; Tour, J. M.InMolecular Wires and Electronics; Topics in Current Chemistry;Springer Berlin Heidelberg, 2005; pp33–62. · DOI
  43. 10.1038/nmat4823 · DOI
  44. 10.1038/ncomms8731 · DOI
  45. Dutta P., 2004, Handbook of Layered Materials
  46. Schoonman J., 1977, Preparation and Crystal Growth of Materials with Layered Structures, 1
  47. 10.1002/adom.201400043 · DOI
  48. 10.1140/epjb/e2015-60005-x · DOI
  49. 10.1088/1674-4926/37/5/051001 · DOI
  50. 10.1088/0953-8984/28/11/115401 · DOI
  51. 10.1039/C6TA01986B · DOI
  52. 10.1016/0022-3697(82)90156-1 · DOI
  53. 10.1016/0167-2738(86)90055-X · DOI
  54. 10.1088/0953-8984/6/24/002 · DOI
  55. 10.1557/JMR.2005.0161 · DOI
  56. 10.1002/zaac.200600171 · DOI
  57. Zönnchen P., 1996, New J. Chem., 20, 295
  58. 10.1016/S0925-8388(96)02465-6 · DOI
  59. Köhler J., 2011, Encyclopedia of Inorganic and Bioinorganic Chemistry
  60. 10.1063/1.4943973 · DOI
  61. 10.1039/C5TA09612J · DOI
  62. 10.1002/pip.702 · DOI
  63. 10.1038/nphoton.2015.78 · DOI
  64. Wang Z. M., 2013, MoS2: Materials, Physics, and Devices
  65. 10.1021/jz3012436 · DOI
  66. 10.1038/nnano.2014.309 · DOI
  67. 10.1021/jp3112759 · DOI
  68. 10.1021/nl401544y · DOI
  69. 10.1039/b200892k · DOI
  70. 10.1021/ic051703q · DOI
  71. 10.1080/10426509708046786 · DOI
  72. Levy, B.In Photochemical Conversion and Storage of Solar Energy: Proceedings of the Eighth International Conference on Photochemical Conversion and Storage of Solar Energy, IPS-8, July 15–20, 1990, Palermo, Italy;Pelizzetti, E.; Schiavello, M., Eds.Springer Netherlands:Dordrecht, 1991; pp337–392.
  73. 10.1039/C4EE00997E · DOI
  74. 10.1063/1.3485050 · DOI
  75. 10.1039/b801115j · DOI

Cited by

Sorted by citations

Metadata

Authors
Cheon, G., Duerloo, K.-A. N., Sendek, A. D., Porter, C., Chen, Y., & Reed, E. J.
Affiliations
  • Stanford University (US)
  • Department of Applied Physics, ‡Department of Materials Science and Engineering, and §Department of Mechanical Engineering, Stanford University, Stanford, California 94305, United States
Corresponding author
Reed, Evan J.
ORCID
Venue
Nano Letters
Publisher
American Chemical Society (ACS)
Published
2017-02-15
Volume
17
Issue
3
Pages
1915-1923
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
DOI
10.1021/acs.nanolett.6b05229
OpenAlex
W2588722657
Cited by
217
References
5
Citations by year
2026: 14 · 2025: 17 · 2024: 23 · 2023: 24 · 2022: 30 · 2021: 30 · 2020: 30 · 2019: 20 · 2018: 26 · 2017: 3
FWCI
8.38
Type
journal article
Language
en
Open access
closed
Locations
  • Nano Letters (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Army Research Office (W911NF-15-1-0570)
  • Stanford University
  • Office of Naval Research (N00014-15-1-2697)
  • Division of Electrical, Communications and Cyber Systems (EECS-1436626)
  • Division of Materials Research (DMR-1455050)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Materials Science › Materials Chemistry › 2D Materials and Applications
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Crystal Structures and Properties
Keywords
two-dimensional materials, one-dimensional molecular chains, van der Waals heterostructures, layered materials, data mining algorithms, Materials Project database, point groups, band gap, inorganic crystals

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review