Publications

Found 18 results
Author Title [ Type(Asc)] Year
Filters: First Letter Of Title is M  [Clear All Filters]
Journal Article
Goiri, J. G., and A. Van der Ven. "MultiShifter: Software to generate structural models of exended two-dimensional defects in 3D and 2D crystals." Computational Materials Science 191 (2021).
Brady, Michael J., Jessica L. Andrews, Andrea Zambotti, Delin Zhang, Xintong Yuan, Kodi Thurber, Xiangfeng Duan, Yuzhang Li, Johanna Nelson Weker, Ananya Renuka Balakrishna et al. "Multiscale approaches for optimizing the impact of strain on Na-ion battery cycle life." MRS Energy & Sustainability (2024): 1-14.
T. Jiang, S. Rudraraju, A. Roy, A. Van der Ven, K. Garikipati, and M.L. Falk. "Multiphysics Simulations of Lithiation-Induced Stress in Li1+ x Ti2O4 Electrode Particles." The Journal of Physical Chemistry C 120 (2016): 27871-27881.
Hansen, C. J., J. J. Zak, A. J. Martinolich, J. S. Ko, N. H. Bashian, F. Kaboudvand, A. Van der Ven, B. C. Melot, J. N. Weker, and K. A. See. "Multielectron, Cation and Anion Redox in Lithium-Rich Iron Sulfide Cathodes." Journal of the American Chemical Society 142, no. 14 (2020).
E. Decolvenaere, E. Levin, R. Seshadri, and A. Van der Ven. "Modeling magnetic evoluton and exchange hardening in disordered magnets: The example of Mn1-xFexRu2Sn Heusler alloys." Physical Review Materials 3 (2019).
DeWitt, Stephen, Ellen L. S. Solomon, Anirudh Raju Natarajan, Vicente Araullo-Peters, Shiva Rudraraju, Larry K. Aagesen, Brian Puchala, Emmanuelle A. Marquis, Anton Van der Ven, Katsuyo Thornton et al. "Misfit-driven beta'''precipitate composition and morphology in Mg-Nd alloys." Acta Materialia 136 (2017).
A. Emly, and A. Van der Ven. "Mg Intercalation in Layered and Spinel Host Crystal Structures for Mg Batteries." Inorganic chemistry 54 (2015): 4394-4402.
Wyckoff, Kira E., Jonas L. Kaufman, Sun Woong Baek, Christian Dolle, Joshua J. Zak, Jadon Bienz, Linus Kautzsch, Rebecca C. Vincent, Arava Zohar, Kimberly A. See et al. "Metal–metal bonding as an electrode design principle in the low-strain cluster compound LiScMo3O8." Journal of the American Chemical Society 144 (2022): 5841-5854.
V. Etacheri, Y. Kuo, A. Van der Ven, and B.M. Bartlett. "Mesoporous TiO 2–B microflowers composed of (1 1 [combining macron] 0) facet-exposed nanosheets for fast reversible lithium-ion storage." Journal of Materials Chemistry A 1 (2013): 12028-12032.
S. Rudraraju, A. Van der Ven, and K. Garikipati. "Mechanochemical spinodal decomposition: a phenomenological theory of phase transformations in multi-component, crystalline solids." npj Computational Materials 2 (2016): 16012.
J. Bhattacharya, and A. Van der Ven. "Mechanical instabilities and structural phase transitions: The cubic to tetragonal transformation." Acta Materialia 56 (2008): 4226-4232.
Kitchaev, D. A., E. C. Schueller, and A. Van der Ven. "Mapping skyrmion stability in uniaxial lacunar spinel magnets from first principles." Physical Review B 101 (2020).
M.D. Radin, J. Vinckeviciute, R. Seshadri, and A. Van der Ven. "Manganese oxidation as the origin of the anomalous capacity of Mn-containing Li-excess cathode materials." Nature Energy (2019).
D.H. Fabini, J.G. Labram, A.J. Lehner, J.S. Bechtel, H.A. Evans, A. Van der Ven, F. Wudl, M.L. Chabinyc, and R. Seshadri. "Main-Group Halide Semiconductors Derived from Perovskite: Distinguishing Chemical, Structural, and Electronic Aspects." Inorganic Chemistry 56 (2017): 11-25.
Zuo, Julia L., Daniil Kitchaev, Emily C. Schueller, Joshua D. Bocarsly, Ram Seshadri, Anton Van der Ven, and Stephen D. Wilson. "Magnetoentropic mapping and computational modeling of cycloids and skyrmions in the lacunar spinels $\mathrmGaV_4\mathrmS_8$ and $\mathrmGaV_4\mathrmSe_8$." Phys. Rev. Mater. 5 (2021): 054410.
Natarajan, A. R., and A. Van der Ven. "Machine-learning the configurational energy of multicomponent crystalline solids." npj Computational Materials 4 (2018).
Thomas, J. C., J. S. Bechtel, A. R. Natarajan, and A. Van der Ven. "Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3." Physical Review B 100 (2019).
Teichert, G. H., A. R. Natarajan, A. Van der Ven, and K. Garikipati. "Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions." Computer Methods in Applied Mechanics and Engineering 353, no. 15 (2019).