activity
20152026
most citedReal-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning

53 citations · 312 across the 35 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

cond-mat.soft2016

Ice grains grow by dissolution, ripening and grain boundary migration

Henry Chan, Mathew J Cherukara, Badri Narayanan +3

Despite the exponential growth in computing resources and the availability of a myriad of different theoretical water models, an accurate, yet computationally efficient molecular l…

cond-mat.mtrl-sci2016★ 30 cited

Evolutionary optimization of a charge transfer ionic potential model for Ta/Ta-oxide hetero-interfaces

Kiran Sasikumar, Badri Narayanan, Mathew Cherukara +5

Tantalum, tantalum oxide and their hetero-interfaces are of tremendous technological interest in several applications spanning electronics, thermal management, catalysis and bioche…

physics.atm-clus2016

Methodology of Parameterization of Molecular Mechanics Force Field From Quantum Chemistry Calculations using Genetic Algorithm: A case study of methanol

Ying Li, Hui Li, Maria K. Y. Chan +2

In molecular dynamics (MD) simulation, force field determines the capability of an individual model in capturing physical and chemistry properties. The method for generating proper…

cond-mat.mtrl-sci2016★ 1 cited

In-situ 3D Imaging of Catalysis Induced Strain in Gold Nanoparticles

Andrew Ulvestad, Kiran Sasikumar, Jong Woo Kim +9

Multi-electron transfer processes, such as hydrogen and oxygen evolution reactions, are crucially important in energy and biological science but require favorable catalysts to achi…

cond-mat.mtrl-sci2016★ 30 cited

Unraveling the Planar-Globular Transition in Gold Nanoclusters through Evolutionary Search

Alper Kinaci, Badri Narayanan, Fatih G. Sen +4

Au nanoclusters are of technological relevance for catalysis, photonics, sensors, and of fundamental scientific interest owing to planar to globular structural transformation at an…