activity
20162022
most citedLonsdaleite: The diamond with optimized bond lengths and enhanced hardness

6 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2022★ 1 cited

A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery

Suvo Banik, Troy Loefller, Sukriti Manna +5

Fast and accurate prediction of optimal crystal structure, topology, and microstructures is important for accelerating the design and discovery of new materials. A challenge lies i…

cond-mat.mtrl-sci2021★ 3 cited

Atomistic Evidence of Nucleation Mechanism for the Direct Graphite-to-Diamond Transformation

Duan Luo, Liuxiang Yang, Hongxian Xie +7

The direct graphite-to-diamond transformation mechanism has been a subject of intense study and remains debated concerning the initial stages of the conversion, the intermediate ph…

cond-mat.mtrl-sci2021★ 6 cited

Lonsdaleite: The diamond with optimized bond lengths and enhanced hardness

Liuxiang Yang, Kah Chun Lau, Zhidan Zeng +12

Diamond is known as the hardest substance due to its ultra-strong tetrahedral sp3 carbon bonding framework. The only weak link is its cubic cleavage planes between (111) buckled ho…

cond-mat.mtrl-sci2020

Machine Learning the Metastable Phase Diagram of Materials

Srilok Srinivasan, Rohit Batra, Duan Luo +8

Phase diagrams are an invaluable tool for material synthesis and provide information on the phases of the material at any given thermodynamic condition. Conventional phase diagram…

cond-mat.mes-hall2016

Thermal Conductivity of Suspended Graphene with Defects

Hoda Malekpour, Pankaj Ramnani, Srilok Srinivasan +5

We investigate the thermal conductivity of suspended graphene as a function of the density of defects, ND, introduced in a controllable way. Graphene layers are synthesized using c…