
3 min. Research Talk: Computational Catalysis  Creating a UserFriendly Tool for Research and Education
31 Jan 2019   Contributor(s):: Kevin Greenman
Heterogeneous catalysis is used in a significant portion of production processes in the industrialized world, which makes maximizing the efficiency of catalysts a high priority. However, the immense number of candidates for new catalysts precludes the possibility of testing all of them by...

Ranit Roy
https://nanohub.org/members/217984

DFTLDA Helium
06 Dec 2018   Contributor(s):: Dongsheng Wen, Alejandro Strachan
Calculate ground state energy of Helium atom with DFT.

Electronic Structure and Transport Properties of Graphene on Hexagonal Boron Nitride
06 Dec 2018   Contributor(s):: Shukai Yao, Luis Regalado Bermejo, Alejandro Strachan
Graphene is a zerobandgap conductor with high carrier mobility. It is desired to search for an opening of band structure of graphene such that this kind of material can be applied in electronic devices. Depositing hexagonal Boron Nitride (hBN) opens a bandgap in the band structure of...

Ruqian Wu
https://nanohub.org/members/212824

Computational Catalysis with Density Functional Theory
08 Aug 2018   Contributor(s):: Kevin Greenman, Peilin Liao
Heterogeneous catalysis is used in a significant portion of production processes in the industrialized world, which makes maximizing the efficiency of catalysts a high priority. However, the immense number of candidates for new catalysts precludes the possibility of testing all of them by...

Computational Catalysis with DFT
01 Aug 2018   Contributor(s):: Kevin Greenman, Peilin Liao
DFT tool for studying heterogeneous catalysis

High Pressure DFT Data
20 Feb 2018   Contributor(s):: Austin Zadoks, Sam Reeve, Karthik Guda Vishnu, Alejandro Strachan
Query and retrieve elastic constants and phase stability data from highpressure DFT calculations

Dibya Prakash Rai
https://nanohub.org/members/187116

Using DFT to Predict the Equilibrium Lattice Parameter and Bulk Modulus of Crystalline Materials
23 Aug 2017   Contributor(s):: André Schleife, Materials Science and Engineering at Illinois
This activity guides users through the use of DFT calculations with Quantum ESPRESSO in nanoHUB to calculate the total energy of a crystal structure. By varying the volume of the structure, and calculating the associated energies, the equilibirum structure can be found. Users are...

Using DFT to Simulate the Band Structure and Density of States of Crystalline Materials
23 Aug 2017   Contributor(s):: André Schleife, Materials Science and Engineering at Illinois
In this activity, DFT is used to simulate the band structure and density of states of several crystalline semiconductors. Users are instructed in how to use the Bilbao Crystallographic Server to select a path through the Brillouin zone for each structure. This activity is adapted from an...

Computer Modeling Module: Chemical Reaction Simulation using SIESTA
23 Aug 2017   Contributor(s):: Lan Li
This activity guides students through a module using the SIESTA DFT tool that is housed within the MIT Atomic Scale Modeling Toolkit on nanoHUB. Instructional videos, background reading, reminders and the assignment are included.Learning outcomes:Get familiar with SIESTA tool and activation...

Dedy Farhamsa
https://nanohub.org/members/170299

Avishai Barnoy
https://nanohub.org/members/161821

2016 IMECE Tutorials on Phonon Transport Modeling
04 Jan 2017   Contributor(s):: Alan McGaughey, Xiulin Ruan
Advances in theoretical methodologies and computational power in the last fifteen years have enabled the prediction of phonon properties with high resolution and fidelity. Notably, the use of molecular dynamics simulations, lattice dynamics calculations, density functional theory calculations,...

Fundamentals of Phonon Transport Modeling L4: Anharmonic Lattice dynamics, First Principles
04 Jan 2017   Contributor(s):: Alan McGaughey, Xiulin Ruan
Part of the 2016 IMECE Tutorial: Fundamentals of Phonon Transport Modeling: Formulation, Implementation, and Applications.

Machine learned approximations to Density Functional Theory Hamiltonians  Towards HighThroughput Screening of Electronic Structure and Transport in Materials
13 Dec 2016   Contributor(s):: Ganesh Krishna Hegde
We present results from our recent work on direct machine learning of DFT Hamiltonians. We show that approximating DFT Hamiltonians accurately by direct learning is feasible and compare them to existing semiempirical approaches to the problem. The technique we have proposed requires little...

OQMD: The Open Quantum Materials Database
Collections 
03 Nov 2016 
Posted by Tanya Faltens
https://nanohub.org/groups/materials/collections/materialssciencereferencedata

GGAPBE Prediction of TiC Bulk Modulus
Collections 
31 Oct 2016 
Posted by David M Guzman
https://nanohub.org/groups/materials/collections/savedmaterialsscienceruns

Si band structure sequence
Collections 
30 Oct 2016 
Posted by Tanya Faltens
https://nanohub.org/groups/materials/collections/savedmaterialsscienceruns