Minerals Cloud

Lamont-Doherty Earth Observatory

Modeling Earth from Atomic to Global Scale: MINERALS

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           Published:

  1. Lewright, L., J. Austermann, C. Piecuch, S. Adhikari, J.L. Davis, G.A. Milne, G.J.G. Paxman, 2026 Projecting 21st Century Sea-level Change Around Coastal Greenland. Nature Communications 17, 353. https://doi.org/10.1038/s41467-025-68182-6

  2. Silas, D., N. Georgiou, R. K Poirier, W. R. Doar III, D. Brill, D. Chauveau, C. Cerrone, J. Austermann, A. Rovere, 2026.Last Interglacial relative sea-level changes at Myrtle Beach, South Carolina. Quaternary Science Reviews, Volume 375, https://doi.org/10.1016/j.quascirev.2025.109769.

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           Published:

  1. N. Huang, R. M. Wentzcovitch, Z. Wu, F. Zheng, Y. Sun, B. Wu, and S. Wu, New phases in the Fe-Si-O system at Terapascal pressures, Earth & Planet. Sc. Adv. DOI: 10.1016/j.epsa.2026.100001 (2026). https://arxiv.org/abs/2512.03295
  2. Z. Wu, C. Gao, F. Zhang, S. Wu, K.-M. Ho, R. M. Wentzcovitch, and Y. Sun, Ab initio superionic-liquid phase diagram of Fe1-xOx under inner core conditions, Phys. Rev. Lett. 136, 016103. DOI: 10.1103/37nh-5ws8 (2026). https://arxiv.org/pdf/2410.23557
  3. J. Jiang, Z. Zhang, T. Wen, R. M. Wentzcovitch, and Y. Sun, Tetragonal Fe2O: the stable iron oxide at Earth’s core conditions, Phys. Rev. B 113, 054107 (2026). http://arxiv.org/abs/2512.03387

          Under Review:

  1. T. Wan, L. Wei, Z. Wu, R. M. Wentzcovitch, and Y. Sun, Assessing foundational atomistic models for iron alloys under Earth’s core conditions, Phys. Rev. Materials, under review (2026). https://arxiv.org/pdf/2605.13594
  2. R. Wentzcovitch, L. Cobden, C. Houser, G. Shephard, and J. Zhuang, A quiet quantum revolution in Earth’s deep interior, Eos, under review (2026).
  3. Z. Wu, L. Wei, C. Gao, S. Wu, R. M. Wentzcovitch, and Y. Sun, Radial gradient of superionic hydrogen in Earth’s inner core, Proc. Natl. Acad. Sc. USA, under review (2026). https://arxiv.org/pdf/2602.03509
  4. T. Wan, C. Luo, Z. Zheng, Y. Sun, and R. M. Wentzcovitch, Ferroelastic hysteresis, shear modulus softening, and the tetragonal-cubic transition in davemaoite, Science Advances, under review (2026). https://arxiv.org/abs/2505.01529

           Published:

  1. E. Camporeale, R. Marino, J. Rundle, D. Folini, Y. Chen, D. Lucas, X. Li, T. Berger, G. Fox, Y. Wen, C. Shen, and R. Wentzcovitch, The first 18 months of JGR: MLC, J. Geophys. Res.- Machine Learning and Computation 2, e2025JH000681. DOI: e2025JH000681 (2025).
  2. T. Wan, Y. Sun, and R. M. Wentzcovitch, Spin state of iron in -type Mg2SiO4 at ultra-high pressure, Phys. Rev. B 111, 245105. DOI: 10.1103/PhysRevB.111.245105 (2025). https://arxiv.org/abs/2504.07067   
  3. L. Wei, K.-M. Ho,R. M. Wentzcovitch, Y. Sun, The Fe-Ni phase diagram and the Earth’s inner core structure, Science Advances 11, eadu1998. DOI 10.1126/sciadv.adu1998  (2025). https://arxiv.org/pdf/2503.21493
  4. C. Gao,R. M. Wentzcovitch, K.-M. Ho, and Y. Sun, Understanding the two-step nucleation of iron at Earth’s inner core conditions: a comparative molecular dynamics study, Phys. Rev. B 111, 134104. DOI: 10.1103/PhysRevB.111.134104 (2025). https://arxiv.org/abs/2502.19763
  5. E. Camporeale, R. Marino, T. Berger, Y. Chen, D. Folini, G. Fox, X. Li, D. Lucas, S. Tobias, M. Reichstein, J. Rundle, C. Shen,R. Wentzcovitch, and Y. Wen, Thank you to our peer reviewers in 2024, J. Geophys. Res.- Machine Learning and Computation 2, e2025JH000681. DOI: e2025JH000681 (2025).

          Under Review:

  1. T. Wan, C. Luo, Z. Zheng, Y. Sun, and R. M. Wentzcovitch, Ferroelastic hysteresis, shear modulus softening, and the tetragonalcubic transition in davemaoite, Communications Earth & Environment, under review (2025). 
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1. A. T. Ringler, P. Moulik, T. Lee, D. C. Wilson, and R. E. Anthony, Revisiting Seismological Discoveries of the Inner Core, Seismological Research Letters, in revision. (2025).

2. P. Moulik and G. Ekström, Radial structure of the Earth: (I) Model concepts and data, Phys. Earth Planet. Inter., 1–123. DOI: 10.1016/j.pepi.2025.107319 (2025).

3. P. Moulik and G. Ekström, Radial structure of the Earth: (II) Model features and interpretations, Phys. Earth Planet. Inter., 1–190. DOI: 10.1016/j.pepi.2025.107320 (2025).

4. B. Fernando, R. Maguire, B. Fernandez, S. Karimi, E. Koenck, G. Ekström, T. Rivlin, and C. Labedz, The propagation of seismic waves, misinformation and disinformation from the 2024-10-05 M 4.5 Iran earthquake, Seismica 2. DOI: 10.26443/seismica.v4i1.1512 (2025).

5. L. Sawade, G. Ekström, L. Ding, M. Nettles, and J. Tromp, Parsimonious Green function databases for global centroid moment tensor inversions, Geophys. J. Int. 240(3), 1986–1999. DOI: 10.1093/gji/ggae446 (2025).

6. A. T. Ringler, P. Moulik, T. Lee, D. C. Wilson, and R. E. Anthony, Revisiting Seismological Discoveries of the Inner Core, Seismol. Res. Lett., Early Publication. DOI: https://doi.org/10.1785/0220250069 (2025).

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  1. R. C. Creel and J. Austermann, Glacial isostatic adjustment driven by asymmetric ice sheet melt during the Last Interglacial causes multiple local sea-level peaks, Geology 53(3): 253–258. DOI: 10.1130/G52483.1 (2025).
  2. R. C. Creel, J. Austermann, R. E. Kopp, N. S. Khan, T. Albrecht, and J. Kingslake, Global mean sea level likely higher than present during the Holocene, Nature Communications 15, 10731. DOI: https://doi.org/10.1038/s41467-024-54535-0

  3. K. L. Callaghan, A. D. Wickert, R. Barnes, and J. Austermann, The Water Table Model (WTM) (v2.0.1): coupled groundwater and dynamic lake modelling, Geosci. Model Dev. 18, 1463–1486. DOI: 10.5194/gmd-18-1463-2025 (2025).

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  1. B. Engquist, K. Ren, and Y. Yang. Sampling with adaptive variance for multimodal distributions, submitted for publication, (2024)
  2. Q. Du, K. Ren, L. Zhang, and Y. Zhou, A discontinuous Galerkin method for one-dimensional nonlocal wave problems, submitted for publication, (2025)
  3. W. Hong, V. Kobzar, and K. Ren, Weighted Fourier bounds for Wasserstein distances and their applications, submitted for publication, (2025)
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  1. Wang,C. Luo, and R. M. Wentzcovitch, Machine learning potentials for serpentines, J. Geophys. Res. Machine Learning and Computations 1, e2024JH000434. DOI: 10.1029/2024JH000434 (2024). https://arxiv.org/pdf/2409.16402
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  1. Moulik, P., Maguire R., Gassmöller R., and C. Havlin. AVNI: Analysis and Visualization toolkit for plaNetary Inferences. Zenodo. doi:10.5281/zenodo.10035731, documented continuously on avni.globalseismology.org and github.com/globalseismology/avni
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