5 citations · 5 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2022★ 5 cited
High-throughput computational discovery of 40 ultralow thermal conductivity and 20 highly anisotropic crystalline materials
Ankit Jain, Harish P Veeravenkata, Shravan Godse +1
We performed ab-initio driven density functional theory-based high throughput computations to search for materials with low thermal conductivity and high thermal transport anisotro…
cond-mat.mtrl-sci2021
Density functional theory driven phononic thermal conductivity prediction of biphenylene: A comparison with graphene
Harish P. Veeravenkata, Ankit Jain
The thermal transport properties of biphenylene network (BPN), a novel sp2 -hybridized two-dimensional allotrope of carbon atoms recently realized in experiments [Fan et al., Scien…
cond-mat.mtrl-sci2018
Atomic positions independent descriptor for machine learning of material properties
Ankit Jain, Thomas Bligaard
The high-throughput screening of periodic inorganic solids using machine learning methods requires atomic positions to encode structural and compositional details into appropriate…