Vikram Gavini

16 papers A 2Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
An atomic cluster expansion potential for twisted multilayer graphene.
Mach. Learn. Sci. Technol.
Yangshuai Wang, Drake Clark, Sambit Das, Ziyan Zhu, Daniel Massatt, Vikram Gavini, Mitchell Luskin, Christoph Ortner
2025 J jnl
Examining the Impact of Local Constraint Violations on Energy Computations in DFT.
J. Comput. Chem.
Vaibhav Khanna, Bikash Kanungo, Vikram Gavini, Ambuj Tewari, Paul M. Zimmerman
2024 J jnl
Exponential time propagators for elastodynamics.
CoRR
Paavai Pari, Bikash Kanungo, Vikram Gavini
2024 J jnl
Learning local and semi-local density functionals from exact exchange-correlation potentials and energies.
CoRR
Bikash Kanungo, Jeffrey Hatch, Paul M. Zimmerman, Vikram Gavini
2023 J jnl
Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2.
CoRR
Gregory H. Teichert, Sambit Das, Mostafa Faghih Shojaei, Jamie Holber, Timothy Mueller, Linda Hung, Vikram Gavini, Krishna C. Garikipati
2023 A conf
Large-Scale Materials Modeling at Quantum Accuracy: Ab Initio Simulations of Quasicrystals and Interacting Extended Defects in Metallic Alloys.
SC
Sambit Das, Bikash Kanungo, Vishal Subramanian, Gourab Panigrahi, Phani Motamarri, David M. Rogers, Paul M. Zimmerman, Vikram Gavini
2023 J jnl
TTDFT: A GPU accelerated Tucker tensor DFT code for large-scale Kohn-Sham DFT calculations.
Comput. Phys. Commun.
Chih-Chuen Lin, Vikram Gavini
2022 J jnl
DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization.
Comput. Phys. Commun.
Sambit Das, Phani Motamarri, Vishal Subramanian, David M. Rogers, Vikram Gavini
2021 J jnl
Li
CoRR
Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati
2021 J jnl
Treecode-accelerated Green iteration for Kohn-Sham density functional theory.
J. Comput. Phys.
Nathan Vaughn, Vikram Gavini, Robert Krasny
2020 J jnl
DFT-FE - A massively parallel adaptive finite-element code for large-scale density functional theory calculations.
Comput. Phys. Commun.
Phani Motamarri, Sambit Das, Shiva Rudraraju, Krishnendu Ghosh, Denis Davydov, Vikram Gavini
2020 J jnl
NURBS-based non-periodic finite element framework for Kohn-Sham density functional theory calculations.
J. Comput. Phys.
Ilker Temizer, Phani Motamarri, Vikram Gavini
2019 A conf
Fast, scalable and accurate finite-element based
SC
Sambit Das, Phani Motamarri, Vikram Gavini, Bruno Turcksin, Ying Wai Li, Brent Leback
2013 J jnl
Higher-order adaptive finite-element methods for Kohn-Sham density functional theory.
J. Comput. Phys.
Phani Motamarri, Michael R. Nowak, Kenneth W. Leiter, Jaroslaw Knap, Vikram Gavini
2012 J jnl
Approximation of the electron density of Aluminium clusters in tensor-product format.
J. Comput. Phys.
T. Blesgen, Vikram Gavini, Venera Khoromskaia
2012 J jnl
Higher-order adaptive finite-element methods for orbital-free density functional theory.
J. Comput. Phys.
Phani Motamarri, Mrinal Iyer, Jaroslaw Knap, Vikram Gavini
redb/extractors/decompiler/bninja/pyproject.toml
← Index redb/extractors/decompiler/bninja/pyproject.toml ini 
[project]
name = "bninja"
version = "0.1.0"
requires-python = ">= 3.12"
dependencies = []

[tool.ruff]
line-length = 88
target-version = "py312"
exclude = [
    "_archive"
]
# Enable or disable some rules
[tool.ruff.lint]
select = [
    # pycodestyle
    "E",
    # Pyflakes
    "F",
    # pyupgrade
    "UP",
    # flake8-bugbear
    "B",
    # flake8-simplify
    "SIM",
    # isort
    "I",
]
ignore = ["E501"]

[tool.ruff.format]
quote-style = "double"
indent-style = "space"