journal article·2026-03Open access

Role of Wadsley Defects and Cation Disorder to Enhance MoNb 12 O 33 Diffusion

CJ Sturgill, Manish Kumar, Nima Karimitari, Iva Milisavljevic, Coby S. Collins, Aaron Hegler, Hsin‐Yun Joy Chao, Santosh Kiran Balijepalli, Scott T. Misture, Christopher Sutton, Morgan Stefik

Advanced Energy Materials· Volume 16· Issue 12

Abstract

ABSTRACT Wadsley‐Roth (WR) niobates have emerged as high‐rate anode materials that can combine rapid ionic diffusion with good electronic conductivity. WR compounds have been defect‐enhanced by limited annealing, however, such materials often contain multiple types of defects. In particular, both Wadsley defects (variable block size) and transition metal disorder have the potential to modify transport rates, however the corresponding effects are not well understood mechanistically. Here, MoNb 12 O 33 (MNO) was calcined at two different temperatures to compare a defect‐rich condition (MNO‐800) with a proximal order‐rich condition (MNO‐900) as assessed through XRD, XANES, EXAFS, and STEM characterizations. Galvanostatically cycled lithium half cells of MNO‐800 exhibited additional capacity (307 mAhg −1 at 0.1C, 4.66% higher) and improved high‐rate capacity of 200 mAhg −1 at 10C. ICI‐based overpotential analysis identified solid state diffusion as the dominant rate limiting process where MNO‐800 correspondingly exhibited ∼3X faster capacity‐weighted diffusivity. A machine‐learning interatomic potential was trained to density functional theory and then applied with molecular dynamics (MLIP‐MD) to examine the possible roles of Wadsley defects and transition metal disorder. For both defect‐types, Li was found to populate and activate fast diffusion paths from window sites at lower extents of lithiation as compared to the order‐rich model.
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Research context

OpenAlex topics: Advancements in Battery Materials · Inorganic Chemistry and Materials · Thermal Expansion and Ionic Conductivity

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Biochemistry University of South Carolina Columbia South Carolina USA

Inamori School of Engineering Alfred University Alfred New York USA

Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge Tennessee USA

Office of the Vice President for Research University of South Carolina Columbia South Carolina USA

Funding

Office of Science

References (86)

Show source-provided references
1. 10.1002/advs.20200485510.1002/advs.202004855 ↗
2. 10.1038/s41586‐018‐0347‐010.1038/s41586‐018‐0347‐0 ↗
3. 10.1021/cm501011d10.1021/cm501011d ↗
4. 10.1002/aenm.20190217410.1002/aenm.201902174 ↗
5. 10.1021/acs.inorgchem.3c0259510.1021/acs.inorgchem.3c02595 ↗
6. 10.1149/1.211958310.1149/1.2119583 ↗
7. 10.1021/jacs.9b0666910.1021/jacs.9b06669 ↗
8. 10.1021/acs.chemmater.4c0211810.1021/acs.chemmater.4c02118 ↗
9. 10.1021/acs.chemmater.0c0048310.1021/acs.chemmater.0c00483 ↗
10. 10.1021/acs.jpcc.4c0841710.1021/acs.jpcc.4c08417 ↗
11. 10.1021/jacs.9b0631610.1021/jacs.9b06316 ↗
12. 10.1039/C9TA00309F10.1039/C9TA00309F ↗
13. 10.1021/acs.chemmater.2c0348110.1021/acs.chemmater.2c03481 ↗
14. 10.1149/2.0011514jes10.1149/2.0011514jes ↗
15. 10.1021/acs.chemmater.4c0227910.1021/acs.chemmater.4c02279 ↗
16. 10.1002/batt.20220005610.1002/batt.202200056 ↗
17. 10.1002/adfm.20231524810.1002/adfm.202315248 ↗
18. 10.1002/adma.20180623610.1002/adma.201806236 ↗
19. 10.1038/nmat481010.1038/nmat4810 ↗
20. 10.1126/science.259.5101.155810.1126/science.259.5101.1558 ↗
21. 10.1016/0022‐4596(70)90037‐X10.1016/0022‐4596(70)90037‐X ↗
22. 10.1016/0022‐4596(71)90030‐210.1016/0022‐4596(71)90030‐2 ↗
23. 10.1002/smll.20230236510.1002/smll.202302365 ↗
24. 10.1016/0022‐4596(70)90144‐110.1016/0022‐4596(70)90144‐1 ↗
25. 10.1016/B978-0-12-655280-5.50012-210.1016/B978-0-12-655280-5.50012-2 ↗
26. 10.1021/acs.chemmater.0c0155310.1021/acs.chemmater.0c01553 ↗
27. 10.1002/adfm.20231085310.1002/adfm.202310853 ↗
28. 10.1039/D1EE02664J10.1039/D1EE02664J ↗
29. 10.1021/acsaem.2c0357310.1021/acsaem.2c03573 ↗
30. 10.1039/D4EE02293A10.1039/D4EE02293A ↗
31. 10.1038/physci244139a010.1038/physci244139a0 ↗
32. 10.1002/aenm.20240362310.1002/aenm.202403623 ↗
33. 10.1002/adfm.20250953310.1002/adfm.202509533 ↗
34. 10.1002/aenm.20220051910.1002/aenm.202200519 ↗
35. 10.1021/acs.chemmater.6b0143810.1021/acs.chemmater.6b01438 ↗
36. 10.1038/s41467‐019‐08490‐w10.1038/s41467‐019‐08490‐w ↗
37. 10.1039/D4CC02844A10.1039/D4CC02844A ↗
38. 10.1039/D3DT02144K10.1039/D3DT02144K ↗
39. 10.1038/s41467‐025‐61646‐910.1038/s41467‐025‐61646‐9 ↗
40. 10.1107/S056773947300004510.1107/S0567739473000045 ↗
41. 10.1039/DT973000110710.1039/DT9730001107 ↗
42. 10.1021/acsami.7b0746010.1021/acsami.7b07460 ↗
43. 10.1038/s41563‐022‐01324‐z10.1038/s41563‐022‐01324‐z ↗
44. 10.1021/acsnano.9b0436510.1021/acsnano.9b04365 ↗
45. 10.1039/D1CP00359C10.1039/D1CP00359C ↗
46. 10.1016/j.est.2019.10089010.1016/j.est.2019.100890 ↗
47. 10.1016/j.egyr.2021.02.04810.1016/j.egyr.2021.02.048 ↗
48. 10.1021/acsenergylett.1c0017310.1021/acsenergylett.1c00173 ↗
49. 10.1021/acs.chemmater.9b0540310.1021/acs.chemmater.9b05403 ↗
50. 10.1021/jacs.9b0666910.1021/jacs.9b06669 ↗
51. 10.1021/jacs.6b0434510.1021/jacs.6b04345 ↗
52. 10.1038/ncomms152710.1038/ncomms1527 ↗
53. 10.1021/acs.jpclett.2c0118310.1021/acs.jpclett.2c01183 ↗
54. 10.1038/s41467‐023‐37989‐610.1038/s41467‐023‐37989‐6 ↗
55. 10.1109/TTE.2021.312541810.1109/TTE.2021.3125418 ↗
56. 10.1021/acsaem.5c0173810.1021/acsaem.5c01738 ↗
57. 10.1107/S002188980300227910.1107/S0021889803002279 ↗
58. 10.1016/j.micromeso.2021.11155410.1016/j.micromeso.2021.111554 ↗
59. 10.1016/0013‐4686(93)80055‐510.1016/0013‐4686(93)80055‐5 ↗
60. 10.1016/S0167‐2738(02)00134‐010.1016/S0167‐2738(02)00134‐0 ↗
61. 10.1039/D4TA06041E10.1039/D4TA06041E ↗
62. 10.1103/PhysRevLett.65.35310.1103/PhysRevLett.65.353 ↗
63. 10.1016/j.calphad.2013.06.00610.1016/j.calphad.2013.06.006 ↗
64. 10.1107/S0365110X6400384X10.1107/S0365110X6400384X ↗
65. 10.1023/B:JTAN.0000005185.84636.cc10.1023/B:JTAN.0000005185.84636.cc ↗
66. 10.1063/1.129182510.1063/1.1291825 ↗
67. 10.1107/S090904950501271910.1107/S0909049505012719 ↗
68. 10.1021/acs.langmuir.9b0287710.1021/acs.langmuir.9b02877 ↗
69. 10.1038/nmat273010.1038/nmat2730 ↗
70. Metallic Powders — Determination of Tap Density
71. K.Joensen Ganesha Operating Manual Accessed June 2025 https://smif.pratt.duke.edu/capabilities/55527.
72. NIST X‐Ray Form Factor Atten. Scatt. Tables Form Page Accessed June 2025 https://physics.nist.gov/PhysRefData/FFast/html/form.html.
73. Scattering Length Density Calculator Accessed June 2025 https://www.ncnr.nist.gov/resources/sldcalc.html.
74. 10.1016/0927‐0256(96)00008‐010.1016/0927‐0256(96)00008‐0 ↗
75. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
76. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
77. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
78. 10.1063/1.481232310.1063/1.4812323 ↗
79. 10.1103/PhysRevB.73.19510710.1103/PhysRevB.73.195107 ↗
80. 10.1063/1.132967210.1063/1.1329672 ↗
81. 10.1063/1.132322410.1063/1.1323224 ↗
82. 10.52202/068431-083010.52202/068431-0830 ↗
83. 10.1063/5.015532210.1063/5.0155322 ↗
84. 10.48550/arXiv.2401.0009610.48550/arXiv.2401.00096 ↗
85. 10.1088/1361‐648X/ac1af010.1088/1361‐648X/ac1af0 ↗
86. 10.1016/0378‐4371(84)90096‐710.1016/0378‐4371(84)90096‐7 ↗