Ghanshyam Pilania

Citované v

	Všetky	Od 2020
Citácie	8770	6627
h-index	41	35
i10-index	90	76

1600

800

400

1200

20112012201320142015201620172018201920202021202220232024202532 35 50 85 133 222 371 510 659 989 1062 1253 1361 1596 361

Verejný prístup

všetky položky

78 článkov

2 články*

dostupné

nedostupné

Na základe mandátov na financovanie

Spoluautori

Rampi RamprasadGeorgia Institute of TechnologyOverená e-mailová adresa na: gatech.edu
Blas Pedro UberuagaLos Alamos National LaboratoryOverená e-mailová adresa na: buber.net
Arun Mannodi-KanakkithodiPurdue UniversityOverená e-mailová adresa na: purdue.edu
Chiho KimGeorgia Institute of TechnologyOverená e-mailová adresa na: gatech.edu
Chenchen WangUniversity of ConnecticutOverená e-mailová adresa na: uconn.edu
Vinit SharmaOak Ridge National Laboratory and University of Tennessee, Oak Ridge, TN, USAOverená e-mailová adresa na: ornl.gov
Babetta L. MarroneLos Alamos National LaboratoryOverená e-mailová adresa na: lanl.gov
Huan TranGeorgia Institute of Technology & Matmerize, Inc.Overená e-mailová adresa na: mse.gatech.edu
Rohit BatraAssistant Professor IIT MadrasOverená e-mailová adresa na: iitm.ac.in
Prasanna V BalachandranUniversity of VirginiaOverená e-mailová adresa na: virginia.edu
C.R. StanekLos Alamos National LaboratoryOverená e-mailová adresa na: lanl.gov
Anjana TalapatraLos Alamos National Laboratory, Los Alamos, New MexicoOverená e-mailová adresa na: lanl.gov
Xiang-Yang (Ben) LiuLos Alamos National LaboratoryOverená e-mailová adresa na: lanl.gov
Karteek BejagamSenior Research ScientistOverená e-mailová adresa na: lightwavelogic.com
Steven T. HartmanUnaffiliatedOverená e-mailová adresa na: wustl.edu
Vancho KocevskiUniversity of MichiganOverená e-mailová adresa na: umich.edu
Qiang ZhuUniversity of North Carolina at CharlotteOverená e-mailová adresa na: uncc.edu
Artem R. OganovDistinguished Professor, Skolkovo Institute of Science and Technology, Russia; APS Fellow, FRSC, MAEOverená e-mailová adresa na: skoltech.ru
Christopher KuennethAssistant Professor, University of BayreuthOverená e-mailová adresa na: uni-bayreuth.de
Gregory SotzingProfessor of Chemistry, University of ConnecticutOverená e-mailová adresa na: uconn.edu

Sledovať

Ghanshyam Pilania

Senior Engineer, GE Aerospace Research

Overená e-mailová adresa na: ge.com

Materials informatics Quantum mechanical computations Atomistic simulations Materials by design


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
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), 54, 2017	1428	2017
Accelerating materials property predictions using machine learning G Pilania, C Wang, X Jiang, S Rajasekaran, R Ramprasad Scientific reports 3 (1), 2810, 2013	858	2013
Machine learning bandgaps of double perovskites G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ... Scientific reports 6 (1), 19375, 2016	493	2016
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	374	2016
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ... npj computational materials 6 (1), 173, 2020	367	2020
Rational design of all organic polymer dielectrics V Sharma, C Wang, RG Lorenzini, R Ma, Q Zhu, DW Sinkovits, G Pilania, ... Nature communications 5 (1), 4845, 2014	337	2014
Multi-fidelity machine learning models for accurate bandgap predictions of solids G Pilania, JE Gubernatis, T Lookman Computational Materials Science 129, 156-163, 2017	329	2017
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	239	2016
Polymer informatics: Current status and critical next steps L Chen, G Pilania, R Batra, TD Huan, C Kim, C Kuenneth, R Ramprasad Materials Science and Engineering: R: Reports 144, 100595, 2021	219	2021
Machine Learning in Materials Science: From Explainable Predictions to Autonomous Design G Pilania Computational Materials Science 193, 110360, 2021	214	2021
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	206	2016
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	201	2018
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	200	2016
Finding new perovskite halides via machine learning G Pilania, PV Balachandran, C Kim, T Lookman Frontiers in Materials 3, 19, 2016	194	2016
Computational strategies for polymer dielectrics design CC Wang, G Pilania, SA Boggs, S Kumar, C Breneman, R Ramprasad Polymer 55 (4), 979-988, 2014	153	2014
Machine-learning-based predictive modeling of glass transition temperatures: a case of polyhydroxyalkanoate homopolymers and copolymers G Pilania, CN Iverson, T Lookman, BL Marrone Journal of Chemical Information and Modeling 59 (12), 5013-5025, 2019	133	2019
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 (1), 4485, 2014	108	2014
A machine learning approach for the prediction of formability and thermodynamic stability of single and double perovskite oxides A Talapatra, BP Uberuaga, CR Stanek, G Pilania Chemistry of materials 33 (3), 845-858, 2021	101	2021
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	88	2015
Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning H Zong, G Pilania, X Ding, GJ Ackland, T Lookman npj Computational Materials 4 (1), 48, 2018	86	2018

Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.

Články 1–20

Citácie za rok

Duplicitné citácie

Zlúčené citácie

Pridať spoluautorovSpoluautori

Sledovať

Citované v

Spoluautori