Disordered Materials: I
FOCUS · MAR-G50 · ID: 3103910
Presentations
-
Exploring Sampling and Size Effects in DFT Investigation of High Entropy Oxides
ORAL
–
Publication: Probabilistic Analysis of High-Entropy Oxides
Presenters
-
Grace A Chamberlain
James Madison University
Authors
-
Grace A Chamberlain
James Madison University
-
Lily Jade Joyce
Rensselaer Polytechnic Institute, James Madison University
-
Kendra L Letchworth-Weaver
James Madison University
-
-
Scaling cluster expansion models to large and challenging composition spaces
ORAL
–
Presenters
-
Michael J Waters
Northwestern University
Authors
-
Michael J Waters
Northwestern University
-
Nathan C Smith
Northwestern University
-
Christopher M Wolverton
Northwestern University
-
James M Rondinelli
Northwestern University, Northwestern University, Department of Materials Science and Engineering, Department of Material Science and Engineering, Northwestern University
-
-
Exploring Sustainable High-Entropy Magnetic Materials Using Active Learning
ORAL
–
Presenters
-
Timothy Corbett
Georgetown University
Authors
-
Timothy Corbett
Georgetown University
-
dinesh bista
Georgetown University
-
Willie B Beeson
Georgetown University
-
Jerome Jackson
STFC Daresbury Laboratory, Scientific Computing Department, STCF Daresbury Laboratory
-
Amy Y Liu
Georgetown University
-
Kai Liu
Georgetown University
-
Gen Yin
Georgetown University
-
-
Atomic Short-Range Order in High-Entropy Alloys: Concentration Waves in the Multicomponent Setting
ORAL · Invited
–
Publication: 1. C. D. Woodgate, J. B. Staunton, Phys. Rev. B 105, 115124 (2022).
2. C. D. Woodgate, J. B. Staunton, Phys. Rev. Mater. 7, 013801 (2023).
3. C. D. Woodgate, D. Hedlund, L. H. Lewis, J. B. Staunton, Phys. Rev. Mater. 7, 053801 (2023).
4. C. D. Woodgate, J. B. Staunton, J. Appl. Phys. 135, 135106 (2024).
5. L. Shenoy, C. D. Woodgate, J. B. Staunton, A. P. Bartók, C. S. Becquart, C. Domain, J. R. Kermode, Phys. Rev. Mater. 8, 033804 (2024).
6. C. D. Woodgate, G. A. Marchant, L. B. Pártay, J. B. Staunton, arXiv:2404.13173.Presenters
-
Christopher D Woodgate
University of Bristol
Authors
-
Christopher D Woodgate
University of Bristol
-
Julie B Staunton
University of Warwick
-
-
Complex short-range order in Si-Ge-Sn alloys revealed by machine-learning potential and modeling-assisted experimental characterization
ORAL
–
Presenters
-
Xiaochen Jin
George Washington University
Authors
-
Xiaochen Jin
George Washington University
-
Shunda Chen
George Washington University
-
Shang Liu
Dartmouth College
-
Jifeng Liu
Dartmouth College
-
Tianshu Li
George Washington University
-
-
Short-range order in semiconductor alloys: does it exist or matter?
ORAL
–
Publication: (1) Cao, B.; Chen, S.; Jin, X.; Liu, J.; Li, T. Short-Range Order in GeSn Alloy. ACS Appl. Mater. Interfaces 2020, 12, 57245–57253. https://doi.org/10.1021/acsami.0c18483.
(2) Jin, X.; Chen, S.; Li, T. Coexistence of Two Types of Short-Range Order in Si–Ge–Sn Medium-Entropy Alloys. Commun Mater 2022, 3 (1), 66. https://doi.org/10.1038/s43246-022-00289-5.
(3) Liang, Y.; Chen, S.; Jin, X.; West, D.; Yu, S.-Q.; Li, T.; Zhang, S. Group IV Topological Quantum Alloy and the Role of Short-Range Order: The Case of Ge-Rich Ge1–XPbx. npj Comput. Mater. 2024, 10 (1), 82. https://doi.org/10.1038/s41524-024-01271-0.
(4) Chen, S.; Jin, X.; Zhao, W.; Li, T. Intricate Short-Range Order in GeSn Alloys Revealed by Atomistic Simulations with Highly Accurate and Efficient Machine-Learning Potentials. Phys. Rev. Mater. 2024, 8 (4), 043805. https://doi.org/10.1103/physrevmaterials.8.043805.
(5) Liu, S.; et al. Atomistic short-range order in SiGeSn alloys, under review, https://doi.org/10.21203/rs.3.rs-4909892/v1
(6) Vogl, L,; et al. Identification of short-range order motifs, under review.
Presenters
-
Tianshu Li
George Washington University
Authors
-
Tianshu Li
George Washington University
-
Shunda Chen
George Washington University
-
Xiaochen Jin
George Washington University
-
Lilian Vogl
University of California, Berkeley
-
Andrew M Minor
University of California, Berkeley
-
Shang Liu
Dartmouth College
-
Jifeng Liu
Dartmouth College
-
-
Predicting the Curie temperature of magnetic materials across chemistries and structures
ORAL
–
Publication: M. A. Brännvall, G. Persson, L. Casillas-Trujillo, R. Armiento, and B. Alling, arXiv preprint arXiv:2406.02084 [cond-mat.mtrl-sci], 2024. Available: https://doi.org/10.48550/arXiv.2406.02084. (accepted for Physical Review Materials)
Presenters
-
Marian Arale Brännvall
Linköping University
Authors
-
Marian Arale Brännvall
Linköping University
-
Gabriel Rolf Erik Persson
Linkoping University
-
Luis Casillas Trujillo
Technische Universität Wien
-
Rickard Armiento
Linkoping University
-
Björn Alling
Linköping Univerity, Linköping University
-
-
Effects of chemical short-range order on the percolation model of passivation for binary alloys
ORAL
–
Publication: Roy, A., Sieradzki, K., Rondinelli, J. M., & McCue, I. D. (2024). Effect of chemical short-range order and percolation on passivation in binary alloys. Physical Review B, 110(8), 085420.
Presenters
-
Abhinav Roy
Northwestern University
Authors
-
Abhinav Roy
Northwestern University
-
Karl Sieradzki
Arizona State University
-
James M Rondinelli
Northwestern University, Northwestern University, Department of Materials Science and Engineering, Department of Material Science and Engineering, Northwestern University
-
Ian D McCue
Northwestern University
-
-
Small data-driven study of two-dimensional ordering in rutile oxyfluorides
ORAL
–
Publication: Nathan, S. S., Puggioni, D., & Rondinelli, J. M. (2024). Peierls-like distortion drives anion ordering in rutile TiOF. Physical Review Materials, 8(5), 054602
Presenters
-
Siddhartha S Nathan
Northwestern University
Authors
-
Siddhartha S Nathan
Northwestern University
-
James Cumby
University of Edinburgh
-
James M Rondinelli
Northwestern University, Northwestern University, Department of Materials Science and Engineering, Department of Material Science and Engineering, Northwestern University
-
-
Towards Accurate Prediction of Configurational Disorder Properties in Materials using Graph Neural Networks
ORAL
–
Publication: Fang, Z., Yan, Q. Towards accurate prediction of configurational disorder properties in materials using graph neural networks. npj Comput Mater 10, 91 (2024).
Presenters
-
Zhenyao Fang
Northeastern University
Authors
-
Zhenyao Fang
Northeastern University
-
Qimin Yan
Northeastern University
-
-
Typical Medium Dynamical Cluster Studies of the Role of Spin-Orbit Coupling in 2D Disordered Electronic Systems
ORAL
–
Presenters
-
Yongtai Li
Lehigh University
Authors
-
Yongtai Li
Lehigh University
-
GOUR JANA
Lehigh University
-
Chinedu E Ekuma
Lehigh University
-
-
Wannier-Function-Based Translation-Invariant Computation of Orbital Magnetization and Spin Hall Conductivity
ORAL
–
Presenters
-
Seung-Ju Hong
Seoul Natl Univ
Authors
-
Seung-Ju Hong
Seoul Natl Univ
-
Cheol-Hwan Park
Seoul National University, Seoul Natl Univ
-
-
Symmetry-driven sampling of atomic geometries for alloy nanocrystal simulations
ORAL
–
Presenters
-
Erick I Hernandez Alvarez
University of Illinois at Urbana-Champaign, University of Illinois Urbana-Champaign
Authors
-
Erick I Hernandez Alvarez
University of Illinois at Urbana-Champaign, University of Illinois Urbana-Champaign
-
Andrew M Smith
University of Illinois Urbana-Champaign
-
Andre Schleife
University of Illinois at Urbana-Champaign
-