Ganesh Sivaraman - Concepedia

Author

Ganesh Sivaraman

Argonne National Laboratory

Also Known As

G Sivaraman, G. Sivaraman, Ganesh Sivaraman, Sivaraman G, Sivaraman G., Sivaraman, Ganesh, ganesh sivaraman

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Argonne National Laboratory University of Stuttgart University of Illinois Urbana-Champaign Universidade Federal Fluminense Los Alamos National Laboratory

About

Ganesh Sivaraman is an author at Argonne National Laboratory specializing in engineering, chemistry, and computational chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	441
2	Applied Physics	5	5	200
3	Natural Sciences	4	4	125
4	Medicine	3	3	108
5	Biomolecular Engineering	1	1	39

Ganesh Sivaraman

Publications

Citations

H-Index

Page 1

	Year	Citations
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Apollo (University of Cambridge)	2019	184
Comparative dataset of experimental and computational attributes of UV/vis absorption spectra Edward J. Beard, Ganesh Sivaraman, Álvaro Vázquez‐Mayagoitia, Scientific Data	2019	108
DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning Samuel Tovey, Anand Narayanan Krishnamoorthy, Ganesh Sivaraman, The Journal of Physical Chemistry C EngineeringMaterial SimulationComputational ChemistryChemistryMolecular Dynamics	2020	69
Hybrid 2D nanodevices (graphene/h-BN): selecting NO<sub>x</sub>gas through the device interface Fábio A. L. de Souza, Ganesh Sivaraman, Jens Hertkorn, Journal of Materials Chemistry A NanosheetEngineeringNanodevicesGraphene NanomeshesHybrid 2D	2019	52
Experimentally Driven Automated Machine-Learned Interatomic Potential for a Refractory Oxide Ganesh Sivaraman, Leighanne C. Gallington, Anand Narayanan Krishnamoorthy, Physical Review Letters	2021	52
A machine learning workflow for molecular analysis: application to melting points Ganesh Sivaraman, Nicholas E. Jackson, Benjamín Sánchez-Lengeling, Machine Learning Science and Technology EngineeringMachine LearningMachine Learning ToolComputational ChemistryIntegrated Molecular Prediction	2020	49
Automated Development of Molten Salt Machine Learning Potentials: Application to LiCl Ganesh Sivaraman, Jicheng Guo, Logan Ward, The Journal of Physical Chemistry Letters	2021	48
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing Logan Ward, Ganesh Sivaraman, J. Gregory Pauloski, Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolSimulation	2021	47
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity Jeremy Feinstein, Ganesh Sivaraman, Kurt Picel, Journal of Chemical Information and Modeling	2021	46
Electrically sensing Hachimoji DNA nucleotides through a hybrid graphene/<i>h</i>-BN nanopore Fábio A. L. de Souza, Ganesh Sivaraman, Maria Fyta, Nanoscale	2020	40

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