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Venkata Surya Chaitanya Kolluru
Venkata Surya Chaitanya Kolluru
Verified email at anl.gov
Title
Cited by
Cited by
Year
Implicit self-consistent electrolyte model in plane-wave density-functional theory
K Mathew, VS Kolluru, S Mula, SN Steinmann, RG Hennig
The Journal of chemical physics 151 (23), 2019
6292019
Synthesis of borophane polymorphs through hydrogenation of borophene
Q Li, VSC Kolluru, MS Rahn, E Schwenker, S Li, RG Hennig, P Darancet, ...
Science 371 (6534), 1143-1148, 2021
1382021
Origin and regulation of oxygen redox instability in high-voltage battery cathodes
X Liu, GL Xu, VSC Kolluru, C Zhao, Q Li, X Zhou, Y Liu, L Yin, Z Zhuo, ...
Nature Energy 7 (9), 808-817, 2022
562022
VASPsol: Implicit solvation and electrolyte model for density-functional theory
K Mathew, VSC Kolluru, RG Hennig
2019-10-10. https://github. com/henniggroup/VASPsol, 2018
292018
Discovery of chalcogenides structures and compositions using mixed fluxes
X Zhou, VSC Kolluru, W Xu, L Wang, T Chang, YS Chen, L Yu, J Wen, ...
Nature 612 (7938), 72-77, 2022
222022
Theory+ AI/ML for microscopy and spectroscopy: Challenges and opportunities
D Unruh, VSC Kolluru, A Baskaran, Y Chen, MKY Chan
MRS Bulletin 47 (10), 1024-1035, 2022
152022
Ingrained: An automated framework for fusing atomic‐scale image simulations into experiments
E Schwenker, VSC Kolluru, J Guo, R Zhang, X Hu, Q Li, JT Paul, ...
Small 18 (19), 2102960, 2022
132022
Role of magnetism on transition metal oxide surfaces in vacuum and solvent
VSC Kolluru, RG Hennig
Physical Review Materials 4 (4), 045803, 2020
72020
VASPsol: Implicit Solvation and Electrolyte Model for Density-Functional Theory. 2018
K Mathew, VSC Kolluru, RG Hennig
5
Efficient Sampling for Structure Search Using VAE-Organized Latent Spaces and Genetic Algorithms
VSC Kolluru, N Andrejevic, M Chan
Bulletin of the American Physical Society, 2024
2024
Structure Refinement of Al-Si Interface at the Atomic Level for Identification of Two-level Systems in Superconducting Qubits
S Im, VSC Kolluru, M Chan, P Voyles
Bulletin of the American Physical Society, 2024
2024
Marrying Microscopy, Modeling, and Machine Learning
VSC Kolluru, E Schwenker, D Unruh, T Spreadbury, W Jiang, J Paul, ...
Microscopy and Microanalysis 29 (Supplement_1), 1923-1923, 2023
2023
Fully Automated Nanoscale to Atomistic Structure from Theory and Spectroscopy Experiments
D Unruh, VS Kolluru, M Chan
APS March Meeting Abstracts 2023, K28. 008, 2023
2023
Combining generative modeling and genetic algorithm for atomistic structure search
VSC Kolluru, D Unruh, J Paul, M Chan
APS March Meeting Abstracts 2023, N53. 001, 2023
2023
Structure determination from theory and experiments
VSC Kolluru, E Schwenker, D Unruh, M Chan
APS March Meeting Abstracts 2022, W32. 002, 2022
2022
The Fully-Automated Nanoscale To Atomistic Structures from Theory and eXperiment (FANTASTX) code
VSC Kolluru, E Schwenker, M Chan
APS March Meeting Abstracts 2021, L61. 007, 2021
2021
Grand Canonical Evolutionary Algorithm-Based Approach for Investigating Catalyst Surface Morphology
P Ghanekar, VSC Kolluru, RG Hennig, J Greeley
2020 Virtual AIChE Annual Meeting, 2020
2020
Leveraging machine learning to determine nanoscale structures from theory and experiments
VSC Kolluru, S Hills, E Schwenker, N Watanabe, F Sen, ...
Bulletin of the American Physical Society 65, 2020
2020
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