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Emil Annevelink
Emil Annevelink
Postdoctoral Research Associate, Carnegie Mellon University
Verifierad e-postadress på andrew.cmu.edu
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Ultrasoft slip-mediated bending in few-layer graphene
E Han, J Yu, E Annevelink, J Son, DA Kang, K Watanabe, T Taniguchi, ...
Nature materials 19 (3), 305-309, 2020
2292020
Stochastic stress jumps due to soliton dynamics in two-dimensional van der Waals interfaces
SP Kim, E Annevelink, E Han, J Yu, PY Huang, E Ertekin, ...
Nano letters 20 (2), 1201-1207, 2020
252020
Topologically derived dislocation theory for twist and stretch moiré superlattices in bilayer graphene
E Annevelink, HT Johnson, E Ertekin
Physical Review B 102 (18), 184107, 2020
172020
Grain boundary structure and migration in graphene via the displacement shift complete lattice
E Annevelink, E Ertekin, HT Johnson
Acta Materialia 166, 67-74, 2019
142019
AutoMat: Automated materials discovery for electrochemical systems
E Annevelink, R Kurchin, E Muckley, L Kavalsky, VI Hegde, V Sulzer, ...
MRS Bulletin 47 (10), 1036-1044, 2022
132022
Jangyup Son, Dongyun A. Kang, Kenji Watanabe, Takashi Taniguchi, Elif Ertekin, Pinshane Y. Huang, and Arend M. van der Zande. Ultrasoft slipmediated bending in few-layer graphene
E Han, J Yu, E Annevelink
Nature materials 19 (3), 305-309, 2019
112019
A moiré theory for probing grain boundary structure in graphene
E Annevelink, ZJ Wang, G Dong, HT Johnson, P Pochet
Acta Materialia 217, 117156, 2021
72021
Selection rules of twistronic angles in two-dimensional material flakes via dislocation theory
S Zhu, E Annevelink, P Pochet, HT Johnson
Physical Review B 103 (11), 115427, 2021
72021
Pathways to controlled 3D deformation of graphene: Manipulating the motion of topological defects
E Annevelink, HT Johnson, E Ertekin
Current Opinion in Solid State and Materials Science 25 (2), 100893, 2021
62021
AutoMat: Accelerated Computational Electrochemical systems Discovery
E Annevelink, R Kurchin, E Muckley, L Kavalsky, VI Hegde, V Sulzer, ...
arXiv preprint arXiv:2011.04426, 2020
32020
Statistical methods for resolving poor uncertainty quantification in machine learning interatomic potentials
E Annevelink, V Viswanathan
arXiv preprint arXiv:2308.15653, 2023
22023
Shear-coupling of graphene grain boundaries: Elementary mechanisms, effects of topology, and role of buckling
E Annevelink, B Xu, HT Johnson, E Ertekin
Acta Materialia 244, 118488, 2023
22023
Excess density as a descriptor for electrolyte solvent design
C Kelly, E Annevelink, A Dave, V Viswanathan
The Journal of Chemical Physics 162 (6), 2025
2025
ASIMTools: A lightweight framework for scalable and reproducible atomic simulations
MK Phuthi, E Annevelink, V Viswanathan
Journal of Open Source Software 9 (102), 7085, 2024
2024
Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning
S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guan, K Gering, ...
Nature Communications 15 (1), 8649, 2024
2024
Controlling moving interfaces in solid state batteries
S Mosleh, E Annevelink, V Viswanathan, L Mahadevan
arXiv preprint arXiv:2408.03175, 2024
2024
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guan, K Gering, ...
arXiv preprint arXiv:2310.03047, 2023
2023
Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures.
S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guan, K Gering, ...
CoRR, 2023
2023
Topological defects in single and multi-layer graphene
E Annevelink
University of Illinois at Urbana-Champaign, 2021
2021
Moire engineering for grain boundary design in graphene
E Annevelink, ZJ Wang, G Dong, H Johnson, P Pochet
APS March Meeting Abstracts 2021, X56. 010, 2021
2021
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Artiklar 1–20