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Center for Nanoscale Materials

Theory and Modeling Capabilities

Theory and multiscale computer simulations provide the interpretive and predictive framework to understand nanoscale phenomena and to aid in the discovery and design of functional nanoscale systems.

Capabilities

  • Carbon, High-Performance Computing Cluster (2600 cores, 30 GPUs, ~30 teraflops)
  • Development tools (compilers and math libraries: GNU, Intel, NVIDIA)
  • Electronic structure theory codes (VASP, Q-Chem, ABINIT, Quantum Espresso, GPAW, Dacapo, …)
  • Molecular dynamics codes (LAMMPSNAMD, …)
  • Kinetic Monte Carlo codes (SPARKS)
  • Finite-difference time-domain codes (Lumerical, MEEP)
  • Tight-binding codes (kwant, tbmodels) and topological invariant calculations (Z2 pack)
  • Quantum dynamics and cavity quantum electrodynamics (QuaC) codes for quantum optics and quantum information science modeling
  • BLAST, a machine-learning-based toolkit for developing force fields from data sets, including optimization and validation protocols
  • CASTING, a continuous action space tree search approach for inverse design of materials
  • CEGANN, crystal edge graph attention network for multiscale classification
  • Elastemp, a workflow to compute the quasi-harmonic temperature dependent elastic constants for materials
  • FANTASTX, machine learning/artificial intelligence framework to determine atomic structures from experimental (currently: XAS, XRD, PDF, STEM, STM) data and simulations
  • Ingrained, STEM and STM image simulation and matching code
  • Microstructure3D, a framework for microstructure characterization of materials from molecular simulations and microscopy images
  • Polybot-robotics, an experimental workflow design and orchestration software that integrates design of experiments, artificial intelligence/machine learning and robotized instruments for autonomous materials discovery
  • NEPD, non-equilibrium, semiclassical dynamics of coupled hot” electrons and phonons from first principles using coupled Boltzmann transport equations
  • Simulating coherent optomechanics using first principles (SCOF): mixed classical/time-dependent density functional theory simulations for non-linear phononics.  

Documentation

Technical information on the hardware, a list of applications and instructions on how to use the machine are at:

Support

  • Facilitation of access to Argonne computer facilities
  • Support for experimental projects
  • Support for theoretical projects