Eliminating fine grained timers in Xen. - Bhanu Chandra Vattikonda; Sambit Das; Hovav Shacham (CCSW, 2011)

NetBump: user-extensible active queue management with bumps on the wire. - Mohammad Al-Fares; Rishi Kapoor; George Porter; Sambit Das; Hakim Weatherspoon; Balaji Prabhakar; Amin Vahdat (ANCS, 2012)

An efficient fourth-order low dispersive finite difference scheme for a 2-D acoustic wave equation. - Sambit Das; Wenyuan Liao; Anirudh Gupta (J. Comput. Appl. Math., 2014)

Fast, scalable and accurate finite-element based ab initio calculations using mixed precision computing: 46 PFLOPS simulation of a metallic dislocation system. - Sambit Das; Phani Motamarri; Vikram Gavini; Bruno Turcksin; Ying Wai Li; Brent Leback (SC, 2019)

DFT-FE - A massively parallel adaptive finite-element code for large-scale density functional theory calculations. - Phani Motamarri; Sambit Das; Shiva Rudraraju; Krishnendu Ghosh; Denis Davydov; Vikram Gavini (Comput. Phys. Commun., 2020)

LixCoO2 phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories. - Gregory H. Teichert; Sambit Das; Muratahan Aykol; Chirranjeevi Balaji Gopal; Vikram Gavini; Krishna C. Garikipati (CoRR, 2021)

DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization. - Sambit Das; Phani Motamarri; Vishal Subramanian; David M. Rogers 001; Vikram Gavini (Comput. Phys. Commun., 2022)

Large-Scale Materials Modeling at Quantum Accuracy: Ab Initio Simulations of Quasicrystals and Interacting Extended Defects in Metallic Alloys. - Sambit Das; Bikash Kanungo; Vishal Subramanian; Gourab Panigrahi; Phani Motamarri; David M. Rogers 001; Paul M. Zimmerman; Vikram Gavini (SC, 2023)

Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2. - Gregory H. Teichert; Sambit Das; Mostafa Faghih Shojaei; Jamie Holber; Timothy Mueller; Linda Hung; Vikram Gavini; Krishna C. Garikipati (CoRR, 2023)