A code to generate atomic structure with symmetry

ElATools: A tool for analyzing anisotropic elastic properties of the 2D and 3D materials

Code release for "An open-source robust machine learning platform for real-time detection and classification of 2D material flakes"

High throughput workflow tools for characterizing 2D materials in VASP.

A Schrödinger-Poisson solver for 2D materials with 1D interfaces (wires)

Calculates Berry connections and other properties from DFT packages

Automate the discovery of stable 2D materials stacked on substrates (either another 2d or substrate surface)! Compute the properties of the interacting system!

V2DB (Virtual 2D Materials Database): the code for generating and predicting the novel 2D materials by virtual screening.

Deep Reinforcement Learning Assisted Kirigami Design of 2D Material

An open-source C++ software for efficient nanoscale quantum transport simulations

A Deep Generative Model of Phase Transformation in Layered Material

Code and data for the paper ACS Applied Nano Materials 5, 1356-1366, 2022 doi:10.1021/acsanm.1c03928

Teaching materials of the school "Emergent phenomena in van der Waals heterostructures", TIFR 2023

Reinforcement Learning Agent for Autonomous Synthesis of pure phase MoS2 with minimum defect conc. by CVD

Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of defects in 2D materials. npj Comput Mater 9, 113 (2023).

Frontiers in 2D Perovskene: Tailoring ABC3 Perovskite Structures for Next-Generation Material Applications

Converts list of materials from molecular formula to one hot vectors

A simple data acquisition manager for microscopists, enabling users to perform multiple imaging and spectroscopy tasks with ease and precision. Imaging or spectroscopy sets (task sets) can be queued up in a task set list and sequentially preformed. Provides an intuitive graphical user interface to ensure a smooth and responsive user experience.

Supplementary material accompanying Frey, N. C.; Akinwande, D.; Jariwala, D.; Shenoy, V. B. Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing, ACS Nano (2020).

To control Bruker Innova AFM to cut 2D mateials for random shapes