Ghanshyam Pilania
TitleCited byYear
Accelerating materials property predictions using machine learning
G Pilania, C Wang, X Jiang, S Rajasekaran, R Ramprasad
Scientific reports 3, 2810, 2013
3072013
Machine learning in materials informatics: recent applications and prospects
R Ramprasad, R Batra, G Pilania, A Mannodi-Kanakkithodi, C Kim
npj Computational Materials 3 (1), 1-13, 2017
1952017
Rational design of all organic polymer dielectrics
V Sharma, C Wang, RG Lorenzini, R Ma, Q Zhu, DW Sinkovits, G Pilania, ...
Nature communications 5, 4845, 2014
1542014
Machine learning bandgaps of double perovskites
G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ...
Scientific reports 6, 19375, 2016
1362016
Machine Learning Strategy for Accelerated Design of Polymer Dielectrics
A Mannodi-Kanakkithodi, G Pilania, TD Huan, T Lookman, R Ramprasad
Scientific Reports 6, 20952, 2016
1112016
From Organized High-Throughput Data to Phenomenological Theory using Machine Learning: The Example of Dielectric Breakdown
CK Kim, G Pilania, R Ramprasad
Chemistry of Materials, 2016
752016
Multi-fidelity machine learning models for accurate bandgap predictions of solids
G Pilania, JE Gubernatis, T Lookman
Computational Materials Science 129, 156-163, 2017
722017
Computational strategies for polymer dielectrics design
CC Wang, G Pilania, SA Boggs, S Kumar, C Breneman, R Ramprasad
Polymer 55 (4), 979-988, 2014
722014
Ab initio study of ferroelectricity in BaTiO 3 nanowires
G Pilania, SP Alpay, R Ramprasad
Physical Review B 80 (1), 014113, 2009
702009
Revisiting the Al/Al2O3 Interface: Coherent Interfaces and Misfit Accommodation
G Pilania, BJ Thijsse, RG Hoagland, I Lazić, SM Valone, XY Liu
Scientific reports 4, 4485, 2014
572014
Finding new perovskite halides via machine learning
G Pilania, PV Balachandran, C Kim, T Lookman
Frontiers in Materials 3, 19, 2016
522016
A polymer dataset for accelerated property prediction and design
TD Huan, A Mannodi-Kanakkithodi, C Kim, V Sharma, G Pilania, ...
Scientific Data 3, 160012, 2016
512016
How critical are the van der Waals interactions in polymer crystals?
CS Liu, G Pilania, C Wang, R Ramprasad
The Journal of Physical Chemistry A 116 (37), 9347-9352, 2012
502012
Machine Learning Assisted Predictions of Intrinsic Dielectric Breakdown Strength of ABX3 Perovskites
C Kim, G Pilania, R Ramprasad
The Journal of Physical Chemistry C 120 (27), 14575-14580, 2016
472016
Complex polarization ordering in PbTiO 3 nanowires: A first-principles computational study
G Pilania, R Ramprasad
Physical Review B 82 (15), 155442, 2010
382010
Adsorption of atomic oxygen on cubic PbTiO3 and LaMnO3 (001) surfaces: A density functional theory study
G Pilania, R Ramprasad
Surface Science 604 (21-22), 1889-1893, 2010
382010
Dielectric properties of carbon-, silicon-, and germanium-based polymers: A first-principles study
CC Wang, G Pilania, R Ramprasad
Physical Review B 87 (3), 035103, 2013
352013
Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond
A Mannodi-Kanakkithodi, A Chandrasekaran, C Kim, TD Huan, G Pilania, ...
Materials Today, 2018
342018
Comprehensive examination of dopants and defects in BaTiO 3 from first principles
V Sharma, G Pilania, GA Rossetti Jr, K Slenes, R Ramprasad
Physical Review B 87 (13), 134109, 2013
342013
Structure classification and melting temperature prediction in octet AB solids via machine learning
G Pilania, JE Gubernatis, T Lookman
Physical Review B 91 (21), 214302, 2015
302015
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Articles 1–20