Subramanian K. R. S. Sankaranarayanan

发表

Combining first principles modeling, experimental inputs, and machine learning for nanocatalysts design

Stephen K. Gray, Michael J. Davis, Alper Kinaci, 2017 .

Active learning a coarse-grained neural network model for bulk water from sparse training data

Subramanian K. R. S. Sankaranarayanan, Troy D. Loeffler, Tarak K. Patra, 2020 .

IrO2 Surface and Nanostructure Stability from First Principles and Variable Charge Force Field Calculations

Stephen K. Gray, Maria K. Y. Chan, Alper Kinaci, 2015 .

Teaching an Old Dog New Tricks: Machine Learning an Improved TIP3P Potential Model for Liquid–Vapor Phase Phenomena

Stephen K. Gray, Subramanian K. R. S. Sankaranarayanan, Troy D. Loeffler, 2019, The Journal of Physical Chemistry C.

Heterogeneous Hierarchical Workflow Composition

Jorge Ejarque, Tom Peterka, Rosa M. Badia, 2019, Computing in Science & Engineering.

Simulation and Experimental Investigation of a SAW Sensor Containing a Microcavity Array in the Delay Path

Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla, Mandek Richardson, 2014 .

Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data

Stephen K. Gray, Maria K. Y. Chan, Fatih G. Sen, 2019, The Journal of Physical Chemistry C.

BES Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning

Ian Foster, Bobby G. Sumpter, Mariam Kiran, 2019 .

Organismic materials for beyond von Neumann machines

Kai Wang, Yoav Kalcheim, Ivan K. Schuller, 2020 .

Inverse design of metasurfaces with non-local interactions

Alex B. F. Martinson, David J. Gosztola, Subramanian K. R. S. Sankaranarayanan, 2020, npj Computational Materials.

Integrating Ultrafast Coherent Diffractive Imaging and Atomistic Simulations to Investigate Externally Stimulated Metallic Nanocrystals

Tom Peterka, Mathew J. Cherukara, Ross Harder, 2016 .

Carbon-based tribofilms from lubricating oils

Ganesh Kamath, Badri Narayanan, Ali Erdemir, 2016, Nature.

Coupled molecular-dynamics and first-principle transport calculations of metal/oxide/metal heterostructures

Olle Heinonen, Ketan Maheshwari, Peter Zapol, 2015 .

Active Learning the Potential Energy Landscape for Water Clusters from Sparse Training Data

Subramanian K. R. S. Sankaranarayanan, Tarak K. Patra, Henry Chan, 2020 .

Low Insertion Loss and Highly Sensitive SH-SAW Sensors Based on 36° YX LiTaO3 Through the Incorporation of Filled Microcavities

Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla, Mandek Richardson, 2015, IEEE Sensors Journal.

Ultra-fast three-dimensional X-ray imaging and simulation of the deformation modes in ZnO nanocrystals

Ian McNulty, Tom Peterka, Mathew J. Cherukara, 2017 .

Ligand dynamics control structure, elasticity, and high-pressure behavior of nanoparticle superlattices.

Elena V. Shevchenko, Badri Narayanan, Subramanian K. R. S. Sankaranarayanan, 2019, Nanoscale.

Development of a Modified Embedded Atom Force Field for Zirconium Nitride Using Multi-Objective Evolutionary Optimization

Stephen K. Gray, Maria K. Y. Chan, Badri Narayanan, 2016 .

Perovskite nickelates as electric-field sensors in salt water

Hua Zhou, Karin M. Rabe, Shriram Ramanathan, 2017, Nature.

Molecular dynamics simulation study of the melting and structural evolution of bimetallic Pd-Pt nanowires

Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla, Babu Joseph, 2006 .

Bilge Yildiz, Hua Zhou, Yohannes Abate, 2018, Proceedings of the National Academy of Sciences.

Macroscale superlubricity enabled by graphene nanoscroll formation

Sanket A. Deshmukh, Anirudha V. Sumant, Ali Erdemir, 2015, Science.

A coarse-grained deep neural network model for liquid water

Mathew J. Cherukara, Badri Narayanan, Subramanian K. R. S. Sankaranarayanan, 2019, Applied Physics Letters.

Describing the Diverse Geometries of Gold from Nanoclusters to Bulk—A First-Principles-Based Hybrid Bond-Order Potential

Stephen K. Gray, Maria K. Y. Chan, Badri Narayanan, 2016 .

Machine learning a bond order potential model to study thermal transport in WSe2 nanostructures.

Badri Narayanan, Subramanian K. R. S. Sankaranarayanan, Henry Chan, 2019, Nanoscale.

Ultrafast Three-Dimensional Integrated Imaging of Strain in Core/Shell Semiconductor/Metal Nanostructures.

Ian McNulty, Tom Peterka, Mathew J. Cherukara, 2017, Nano letters.

Water ordering controls the dynamic equilibrium of micelle–fibre formation in self-assembly of peptide amphiphiles

Sanket A. Deshmukh, Ganesh Kamath, Subramanian K. R. S. Sankaranarayanan, 2016, Nature Communications.

Towards accurate prediction of catalytic activity in IrO2 nanoclusters via first principles-based variable charge force field

Stephen K. Gray, Maria K. Y. Chan, Badri Narayanan, 2015 .

Achieving Lower Insertion Loss and Higher Sensitivity in a SAW Biosensor via Optimization of Waveguide and Microcavity Structures

Yan Su, Shuangming Li, Subramanian K. R. S. Sankaranarayanan, 2017, IEEE Sensors Journal.

Ultrafast Three-Dimensional X-ray Imaging of Deformation Modes in ZnO Nanocrystals.

Ian McNulty, Tom Peterka, Mathew J. Cherukara, 2017, Nano letters.

Machine Learning Applied to a Variable Charge Atomistic Model for Cu/Hf Binary Alloy Oxide Heterostructures

Badri Narayanan, Subramanian K. R. S. Sankaranarayanan, Henry Chan, 2019, Chemistry of Materials.

Enhancement of acoustic streaming induced flow on a focused surface acoustic wave device: Implications for biosensing and microfluidics

Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla, S. Sankaranarayanan, 2010 .

Machine learning enabled autonomous microstructural characterization in 3D samples

Badri Narayanan, Subramanian K. R. S. Sankaranarayanan, Henry Chan, 2020, npj Computational Materials.

Probing the evolution and morphology of hard carbon spheres

Sanket A. Deshmukh, Vilas G. Pol, Michael M. Thackeray, 2014 .

Acoustic streaming induced elimination of nonspecifically bound proteins from a surface acoustic wave biosensor: Mechanism prediction using fluid-structure interaction models

Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla, S. Sankaranarayanan, 2010 .