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Badri Narayanan

Case Western Reserve University · US
Area of research
Materials Chemistry · Electrical and Electronic Engineering
Research interest
Research interests include Materials science, Computer science, Electrolyte, Chemical physics, Battery (electricity), and Molecular dynamics.
h-index
citations
3,380
works
29
NIH funding
primary concept
email

Recent publications

Fast-charging aluminium–chalcogen batteries resistant to dendritic shorting
Nature 2022cited by 225position: middledoi
Synthesis of Fluorine-Doped Lithium Argyrodite Solid Electrolytes for Solid-State Lithium Metal Batteries
ACS Applied Materials & Interfaces 2022cited by 44position: middledoi
Graphene overcoats for ultra-high storage density magnetic media
National University of Singapore 2021cited by 58position: middledoi
Investigation of Delamination-Induced Performance Decay at the Cathode/LLZO Interface
Chemistry of Materials 2021cited by 53position: middledoi
Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning Models
The Journal of Physical Chemistry A 2021cited by 23position: middledoi
One-Dimensional Lateral Force Anisotropy at the Atomic Scale in Sliding Single Molecules on a Surface
Nano Letters 2021cited by 8position: middledoi
Machine learning enabled autonomous microstructural characterization in 3D samples
npj Computational Materials 2020cited by 402position: middledoi
Perovskite neural trees
Nature Communications 2020cited by 68position: middledoi
Quantum-Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-hydrogen Atoms
The Journal of Physical Chemistry A 2020cited by 42position: middledoi
Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data
ChemCatChem 2020cited by 30position: middledoi
A Long‐Cycle‐Life Lithium–CO<sub>2</sub> Battery with Carbon Neutrality
Advanced Materials 2019cited by 208position: middledoi
Machine learning coarse grained models for water
Nature Communications 2019cited by 190position: middledoi
Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data
The Journal of Physical Chemistry C 2019cited by 140position: middledoi
Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations
arXiv (Cornell University) 2019cited by 57position: middledoi
Machine learning a bond order potential model to study thermal transport in WSe<sub>2</sub>nanostructures
Nanoscale 2019cited by 32position: middledoi
Machine Learning Applied to a Variable Charge Atomistic Model for Cu/Hf Binary Alloy Oxide Heterostructures
Chemistry of Materials 2019cited by 26position: middledoi
Teaching an Old Dog New Tricks: Machine Learning an Improved TIP3P Potential Model for Liquid–Vapor Phase Phenomena
The Journal of Physical Chemistry C 2019cited by 16position: middledoi
A lithium–oxygen battery with a long cycle life in an air-like atmosphere
Nature 2018cited by 560position: middledoi
Crude-Oil-Repellent Membranes by Atomic Layer Deposition: Oxide Interface Engineering
ACS Nano 2018cited by 179position: middledoi
Defect Dynamics in 2-D MoS<sub>2</sub> Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy
ACS Nano 2018cited by 96position: middledoi
Strongly correlated perovskite lithium ion shuttles
Proceedings of the National Academy of Sciences 2018cited by 69position: middledoi
Perovskite nickelates as electric-field sensors in salt water
Nature 2017cited by 213position: middledoi
Machine Learning Force Field Parameters from Ab Initio Data
Journal of Chemical Theory and Computation 2017cited by 144position: middledoi
Habituation based synaptic plasticity and organismic learning in a quantum perovskite
Nature Communications 2017cited by 101position: middledoi
Evolutionary Optimization of a Charge Transfer Ionic Potential Model for Ta/Ta-Oxide Heterointerfaces
Chemistry of Materials 2017cited by 29position: middledoi
Alloy-assisted deposition of three-dimensional arrays of atomic gold catalyst for crystal growth studies
Nature Communications 2017cited by 26position: middledoi
<i>Ab Initio</i>-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures
The Journal of Physical Chemistry Letters 2016cited by 96position: middledoi
Towards accurate prediction of catalytic activity in IrO<sub>2</sub> nanoclusters via first principles-based variable charge force field
Journal of Materials Chemistry A 2015cited by 68position: middledoi
Tunable MoS2 bandgap in MoS2-graphene heterostructures
Applied Physics Letters 2014cited by 177position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Subramanian K. R. S. Sankaranarayanan · Argonne National Laboratory19 papers (2015–2021)Mathew J. Cherukara · Lawrence Berkeley National Laboratory11 papers (2016–2020)Henry Chan · Argonne National Laboratory9 papers (2018–2020)Kiran Sasikumar · Argonne National Laboratory7 papers (2016–2021)Larry A. Curtiss · Argonne National Laboratory7 papers (2018–2021)Stephen K. Gray · Argonne National Laboratory6 papers (2015–2019)Anh T. Ngo · Argonne National Laboratory5 papers (2018–2022)Maria K. Y. Chan · Argonne National Laboratory5 papers (2015–2019)Rajeev S. Assary · Argonne National Laboratory5 papers (2018–2021)Troy D. Loeffler · University of Illinois Chicago4 papers (2019–2020)Fatih G. Sen · Argonne National Laboratory4 papers (2015–2019)Hua Zhou · Argonne National Laboratory3 papers (2017–2018)Logan Ward · Argonne National Laboratory3 papers (2019–2021)Ian Foster · Argonne National Laboratory3 papers (2019–2021)Alper Kınacı · Texas A&M University3 papers (2015–2017)Michele Kotiuga · University of California, Berkeley3 papers (2017–2018)Karin M. Rabe · Rutgers Sexual and Reproductive Health and Rights3 papers (2017–2018)Shriram Ramanathan · Purdue University West Lafayette3 papers (2017–2018)Paul C. Redfern · Argonne National Laboratory3 papers (2019–2021)Pedram Abbasi · University of California San Diego2 papers (2018–2019)