Resources


HPC - High Performance Computing Facility

  • RNJJ-HPC Cluster: It is the CPCM Lab's computing cluster. The cluster setup consists of 1 Master node and 24 Compute nodes all are managed by rocks toolkit. All the nodes are connected to GigE Switch and Melanox FDR IB Switch. The master node is of the IBM x3650 M4 server type configured with 16 cores clocking at 2.6 GHz with 128 GB RAM and Storage of 20TB using 5 x 4TB Disks. The compute nodes are IBM NeXtScale nx360 M4, configured with same chipset as of Master node, 16 cores clocking at 2.6 GHz with 64GB/128GB/256GB of RAM and 1 x 500GB SATA Disk. This machine is funded by IITK

  • CHM-HPC Cluster: The cluster comes under our department HPC facility. It has 34 computing HP-Proliant-SL-230s-Gen8 nodes with 64 GB of RAM per node. The compute nodes are configured with Intel Xeon E5-2670V 2.5 GHz 2 CPU-IvyBridge (20-cores per node) chipset. The nodes are interconnected by an infiniband switch. This cluster is funded by IITK and Department of Chemistry

  • IITK-HPC Facility: It is a supercomputer administered by CC. This machine had a rank of 118 in the top 500 list published in June, 2014. It has 901 nodes (18020 cores) based on Intel Xeon E5-2670V 2.5 GHz 2 CPU-IvyBridge (20-cores per node) on HP-Proliant-SL-230s-Gen8 servers with 128 GB of RAM per node E5-2670v2x10 core2.5 GHz. The nodes are connected by Mellanox FDR Infiniband chasis based switches that can provide 56Gbps of throughput. It also has 500 Terra-Bytes of storage with an aggregate performance of around 23GBps on write and 15 GBps on read. In addition to this we will have a bigger machine, NSM, the National Supercomputing Mission; it is a transformative approach in supercomputing in India. Quoting DST, the target of the mission is set to establish a network of supercomputers ranging from a few Tera Flops (TF) to Hundreds of Tera Flops (TF) and three systems with greater than or equal to 3 Peta Flops (PF) in academic and research institutions of National importance across the country by 2022. Plans are afoot to install a supercomputer by April 2020 at IIT-Kanpur, for more information see press relsease note at DST-NSM and C-DAC. This facility is funded by DST.

  • ICME National Hub-HPC Cluster: This computing facility is mannaged by ICME National Hub at IIT Kanpur. It has a Supermicro make X86 master node with Intel Xeon Gold 5000 series processors connected by four compute nodes of the same kind but with two NVIDIA Tesla V100 GPU enabled. The nodes consists of a total of 140 CPU cores clocking at 2.2 GHz with a total of 320 (5x64) GB RAM . The nodes are interconnected by a GigE switch. This cluster is funded by TCS-TATA Consultancy Services.


Software - Electronic and Atomistic

  • VASP: The Vienna Ab initio Simulation Package (VASP) is a computer program for electronic structure calculations and quantum-mechanical molecular dynamics, from first principles. VASP computes an approximate solution to the many-body Schrödinger equation, either within density functional theory (DFT), solving the Kohn-Sham equations, or within the Hartree-Fock (HF) approximation, solving the Roothaan equations. Hybrid functionals that mix the Hartree-Fock approach with density functional theory are implemented as well. Furthermore, Green’s functions methods (GW quasiparticles, and ACFDT-RPA) and many-body perturbation theory (2nd-order Møller-Plesset) are available in VASP. For more details visit the VASP site at Wien
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  • QE: The Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. The QE distribution consists of a “historical” core set of components, such as PWscf, CP and a set of plug-ins that perform more advanced tasks, like Phonons, EPW etc. For more information on QE and its plug-ins and additional packages, refer the QE-Home
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  • LAMMPS: The Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) is an open source classical molecular dynamics simulation code designed to run efficiently on parallel computers. It models an ensemble of particles in a liquid, solid, or gaseous state. It can model atomic, polymeric, biological, metallic, granular, and coarse-grained systems using a variety of force fields and boundary conditions. For more details about the code and potentials, visit the developer site at Sandia National Laboratories.

  • Phonopy: It is an open source package for the calculations of phonons (the quantized lattice vibrations) at harmonic and quasi-harmonic levels. It reads the forces or force constants obatined from various simulations codes such as VASP, Quantum ESPRESSO, LAMMPS, ABINIT, SIESTA, etc and uses symmetry relations for computing the elements of dynamical matrix. Phonopy works for all crystal symmetries and provides phonon band structure, phonon DOS and partial-DOS, phonon thermal properties, group velocity, mean square displacements, irreducible representations of normal modes, quasi-harmonic approximation (thermal expansion, heat capacity at constant pressure), mode Grüneisen parameters, non-analytical-term correction (LO-TO splitting) and it has been constantly updated with more features. It also provides Python API for use as a library. For more updates and features, see its github phonopy-site
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  • VESTA: It is a Visualization software for Electronic and STructural Analysis. It is one of the widely used program for 3D visualization of the crystal structure models, volumetric data such as electron/nuclear densities, and crystal morphologies. It can be also used to analyze the crystal structure geometry-the chemical crystallographic analysis. It supports a variety of input and output file formats. For more updates and features, see its home page at VESTA JP-Minerals
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  • Gaussian: It is suite of programs that provides state-of-the-art capabilities for electronic structure modeling. One can use this program to investigate the real-world chemical problems, in all of their complexity, even on modest computer hardware. Starting from the fundamental laws of quantum mechanics, the program Gaussian predicts the energies, molecular structures, vibrational frequencies and molecular properties of compounds and reactions in a wide variety of chemical environments. It offers a wide range of methods for modeling compounds and chemical processes. For more details, visit Gaussian web site.
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KMDS - Kanpur Materials Data Station

  • KMDS: Will be updated.....
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AAMD - Accelerated Autonomous Materials Discovery

  • AAMD: It is a robust framework model to accelerate the materials design and discovery using Data Science driven AI-ML and deep-learning protocols. The AAMD to be used to synthesize computationally tractable protocols to the development and application of computer intelligence in discovering improved or novel materials using the state-of-the-art Big-data driven knowledge based framework and first- principles evolutionary algorithms co-joined with the tools of Artificial Intelligence–Machine Learning (AI–ML) approaches. This page will be updated with more information on the project, as soon as possible.
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CPCM Veritas - Soliders Journal Club

  • Soliders: Will be updated.....
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Potpourri - arXives and baDges

  • Potpourri: Will be updated.....
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