Year |
Citation |
Score |
2020 |
Li S, Pokuri BSS, Ryno S, Nkansah A, De'vine C, Ganapathysubramanian B, Risko C. Determination of the Free Energies of Mixing of Organic Solutions through a Combined Molecular Dynamics and Bayesian Statistics Approach. Journal of Chemical Information and Modeling. PMID 31935097 DOI: 10.1021/Acs.Jcim.9B01113 |
0.34 |
|
2020 |
Ghanimeh S, Khalil CA, Stoecklein D, Kommasojula A, Ganapathysubramanian B. Flow sculpting enabled anaerobic digester for energy recovery from low-solid content waste Renewable Energy. 154: 841-848. DOI: 10.1016/J.Renene.2020.02.071 |
0.318 |
|
2020 |
Khanwale MA, Lofquist AD, Sundar H, Rossmanith JA, Ganapathysubramanian B. Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes Journal of Computational Physics. 419: 109674. DOI: 10.1016/J.Jcp.2020.109674 |
0.355 |
|
2020 |
Tenneti A, Ackerman DM, Ganapathysubramanian B. Equilibrium microstructures of diblock copolymers under 3D confinement Computational Materials Science. 174: 109453. DOI: 10.1016/J.Commatsci.2019.109453 |
0.304 |
|
2020 |
Noruzi R, Ghadai S, Bingol OR, Krishnamurthy A, Ganapathysubramanian B. NURBS-based microstructure design for organic photovoltaics Computer-Aided Design. 118: 102771. DOI: 10.1016/J.Cad.2019.102771 |
0.366 |
|
2019 |
Stoecklein D, Davies M, de Rutte JM, Wu CY, Di Carlo D, Ganapathysubramanian B. FlowSculpt: software for efficient design of inertial flow sculpting devices. Lab On a Chip. PMID 31482902 DOI: 10.1039/C9Lc00658C |
0.353 |
|
2019 |
Lee XY, Balu A, Stoecklein D, Ganapathysubramanian B, Sarkar S. A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting Journal of Mechanical Design. 141. DOI: 10.1115/1.4044397 |
0.36 |
|
2019 |
Xu S, Xu F, Kommajosula A, Hsu M, Ganapathysubramanian B. Immersogeometric analysis of moving objects in incompressible flows Computers & Fluids. 189: 24-33. DOI: 10.1016/J.Compfluid.2019.05.018 |
0.32 |
|
2019 |
Pokuri BSS, Stimes J, O’Hara K, Chabinyc ML, Ganapathysubramanian B. GRATE: A framework and software for GRaph based Analysis of Transmission Electron Microscopy images of polymer films Computational Materials Science. 163: 1-10. DOI: 10.1016/J.Commatsci.2019.02.030 |
0.308 |
|
2019 |
Xu S, Gao B, Hsu M, Ganapathysubramanian B. A residual-based variational multiscale method with weak imposition of boundary conditions for buoyancy-driven flows Computer Methods in Applied Mechanics and Engineering. 352: 345-368. DOI: 10.1016/J.Cma.2019.03.057 |
0.378 |
|
2019 |
Sharma H, Fontanini AD, Cetin KS, Kośny J, Ganapathysubramanian B. Surrogate modeling approach towards coupling computational fluid dynamics and energy simulations for analysis and design of energy efficient attics Building and Environment. 149: 196-209. DOI: 10.1016/J.Buildenv.2018.12.012 |
0.382 |
|
2018 |
Wu CY, Stoecklein D, Kommajosula A, Lin J, Owsley K, Ganapathysubramanian B, Di Carlo D. Shaped 3D microcarriers for adherent cell culture and analysis. Microsystems & Nanoengineering. 4: 21. PMID 31057909 DOI: 10.1038/S41378-018-0020-7 |
0.313 |
|
2018 |
Siemianowski O, Lind KR, Tian X, Cain M, Xu S, Ganapathysubramanian B, Cademartiri L. HOMEs for plants and microbes - a phenotyping approach with quantitative control of signaling between organisms and their individual environments. Lab On a Chip. PMID 29337318 DOI: 10.1039/C7Lc01186E |
0.318 |
|
2018 |
Dyja R, Ganapathysubramanian B, Zee KGvd. Parallel-In-Space-Time, Adaptive Finite Element Framework for Nonlinear Parabolic Equations Siam Journal On Scientific Computing. 40. DOI: 10.1137/16M108985X |
0.33 |
|
2018 |
Pfeifer S, Pokuri BSS, Du P, Ganapathysubramanian B. Process optimization for microstructure-dependent properties in thin film organic electronics Materials Discovery. 11: 6-13. DOI: 10.1016/J.Md.2018.06.002 |
0.341 |
|
2018 |
Kosny J, Fontanini AD, Shukla N, Fallahi A, Watts A, Trifu R, Ganapathysubramanian B. Thermal performance analysis of residential attics containing high performance aerogel-based radiant barriers Energy and Buildings. 158: 1036-1048. DOI: 10.1016/J.Enbuild.2017.10.081 |
0.301 |
|
2018 |
Pfeifer S, Wodo O, Ganapathysubramanian B. An optimization approach to identify processing pathways for achieving tailored thin film morphologies Computational Materials Science. 143: 486-496. DOI: 10.1016/J.Commatsci.2017.11.040 |
0.344 |
|
2018 |
Stoecklein D, Owsley K, Wu C, Di Carlo D, Ganapathysubramanian B. uFlow: software for rational engineering of secondary flows in inertial microfluidic devices Microfluidics and Nanofluidics. 22. DOI: 10.1007/S10404-018-2093-X |
0.362 |
|
2017 |
Lore KG, Stoecklein D, Davies M, Ganapathysubramanian B, Sarkar S. A deep learning framework for causal shape transformation. Neural Networks : the Official Journal of the International Neural Network Society. 98: 305-317. PMID 29301111 DOI: 10.1016/J.Neunet.2017.12.003 |
0.318 |
|
2017 |
Naik HS, Zhang J, Lofquist A, Assefa T, Sarkar S, Ackerman D, Singh A, Singh AK, Ganapathysubramanian B. A real-time phenotyping framework using machine learning for plant stress severity rating in soybean. Plant Methods. 13: 23. PMID 28405214 DOI: 10.1186/S13007-017-0173-7 |
0.318 |
|
2017 |
Stoecklein D, Lore KG, Davies M, Sarkar S, Ganapathysubramanian B. Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data. Scientific Reports. 7: 46368. PMID 28402332 DOI: 10.1038/Srep46368 |
0.364 |
|
2017 |
Stoecklein D, Davies M, Wubshet N, Le J, Ganapathysubramanian B. Automated Design for Microfluid Flow Sculpting: Multiresolution Approaches, Efficient Encoding, and CUDA Implementation Journal of Fluids Engineering-Transactions of the Asme. 139: 31402. DOI: 10.1115/1.4034953 |
0.319 |
|
2017 |
Fontanini AD, Kosny J, Shukla N, Fallahi A, Ganapathysubramanian B. Development and verification of the Fraunhofer attic thermal model Journal of Building Performance Simulation. 10: 72-90. DOI: 10.1080/19401493.2015.1134669 |
0.314 |
|
2017 |
Kipp D, Wodo O, Ganapathysubramanian B, Ganesan V. Utilizing morphological correlators for device performance to optimize ternary blend organic solar cells based on block copolymer additives Solar Energy Materials and Solar Cells. 161: 206-218. DOI: 10.1016/J.Solmat.2016.11.025 |
0.303 |
|
2017 |
Gu KL, Zhou Y, Gu X, Yan H, Diao Y, Kurosawa T, Ganapathysubramanian B, Toney MF, Bao Z. Tuning domain size and crystallinity in isoindigo/PCBM organic solar cells via solution shearing Organic Electronics. 40: 79-87. DOI: 10.1016/J.Orgel.2016.10.033 |
0.307 |
|
2017 |
Ackerman DM, Delaney K, Fredrickson GH, Ganapathysubramanian B. A finite element approach to self-consistent field theory calculations of multiblock polymers Journal of Computational Physics. 331: 280-296. DOI: 10.1016/J.Jcp.2016.11.020 |
0.373 |
|
2017 |
Gebhardt RS, Du P, Wodo O, Ganapathysubramanian B. A data-driven identification of morphological features influencing the fill factor and efficiency of organic photovoltaic devices Computational Materials Science. 129: 220-225. DOI: 10.1016/J.Commatsci.2016.12.020 |
0.326 |
|
2017 |
Herrema AJ, Wiese NM, Darling CN, Ganapathysubramanian B, Krishnamurthy A, Hsu M. A framework for parametric design optimization using isogeometric analysis Computer Methods in Applied Mechanics and Engineering. 316: 944-965. DOI: 10.1016/J.Cma.2016.10.048 |
0.33 |
|
2017 |
Fontanini AD, Vaidya U, Passalacqua A, Ganapathysubramanian B. Contaminant transport at large Courant numbers using Markov matrices Building and Environment. 112: 1-16. DOI: 10.1016/J.Buildenv.2016.11.007 |
0.343 |
|
2017 |
Pokuri BSS, Sit J, Wodo O, Baran D, Ameri T, Brabec CJ, Moule AJ, Ganapathysubramanian B. Nanoscale Morphology of Doctor Bladed versus Spin-Coated Organic Photovoltaic Films Advanced Energy Materials. 7: 1701269. DOI: 10.1002/Aenm.201701269 |
0.32 |
|
2016 |
Jubery TZ, Shook J, Parmley K, Zhang J, Naik HS, Higgins R, Sarkar S, Singh A, Singh AK, Ganapathysubramanian B. Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity. Frontiers in Plant Science. 7: 2066. PMID 28154570 DOI: 10.3389/Fpls.2016.02066 |
0.316 |
|
2016 |
Pokuri BSS, Ganapathysubramanian B. Morphology control in polymer blend fibers—a high throughput computing approach Modelling and Simulation in Materials Science and Engineering. 24: 65012. DOI: 10.1088/0965-0393/24/6/065012 |
0.308 |
|
2016 |
Stoecklein D, Wu C, Kim D, Di Carlo D, Ganapathysubramanian B. Optimization of micropillar sequences for fluid flow sculpting Physics of Fluids. 28: 012003. DOI: 10.1063/1.4939512 |
0.352 |
|
2016 |
Xie Y, Wodo O, Ganapathysubramanian B. Incompressible two-phase flow: Diffuse interface approach for large density ratios, grid resolution study, and 3D patterned substrate wetting problem Computers & Fluids. 141: 223-234. DOI: 10.1016/J.Compfluid.2016.04.011 |
0.364 |
|
2016 |
Fontanini AD, Vaidya U, Passalacqua A, Ganapathysubramanian B. Quantifying mechanical ventilation performance: The connection between transport equations and Markov matrices Building and Environment. 104: 253-262. DOI: 10.1016/J.Buildenv.2016.05.019 |
0.316 |
|
2016 |
Fast T, Wodo O, Ganapathysubramanian B, Kalidindi SR. Microstructure taxonomy based on spatial correlations: Application to microstructure coarsening Acta Materialia. 108: 176-185. DOI: 10.1016/J.Actamat.2016.01.046 |
0.319 |
|
2015 |
Fontanini AD, Vaidya U, Ganapathysubramanian B. Constructing Markov matrices for real-time transient contaminant transport analysis for indoor environments. Building and Environment. 94: 68-81. PMID 32288034 DOI: 10.1016/J.Buildenv.2015.07.020 |
0.321 |
|
2015 |
Samudrala SK, Zola J, Aluru S, Ganapathysubramanian B. Parallel framework for dimensionality reduction of large-scale datasets Scientific Programming. 2015. DOI: 10.1155/2015/180214 |
0.343 |
|
2015 |
Wodo O, Zola J, Pokuri BSS, Du P, Ganapathysubramanian B. Automated, high throughput exploration of process–structure–property relationships using the MapReduce paradigm Materials Discovery. 1: 21-28. DOI: 10.1016/J.Md.2015.12.001 |
0.369 |
|
2014 |
Stoecklein D, Wu CY, Owsley K, Xie Y, Di Carlo D, Ganapathysubramanian B. Micropillar sequence designs for fundamental inertial flow transformations. Lab On a Chip. 14: 4197-204. PMID 25268387 DOI: 10.1039/C4Lc00653D |
0.356 |
|
2014 |
Diaz-Montes J, Xie Y, Rodero I, Zola J, Ganapathysubramanian B, Parashar M. Federated computing for the masses - Aggregating resources to tackle large-scale engineering problems Computing in Science and Engineering. 16: 62-72. DOI: 10.1109/Mcse.2013.134 |
0.301 |
|
2013 |
Amini H, Sollier E, Masaeli M, Xie Y, Ganapathysubramanian B, Stone HA, Di Carlo D. Engineering fluid flow using sequenced microstructures. Nature Communications. 4: 1826. PMID 23652014 DOI: 10.1038/Ncomms2841 |
0.317 |
|
2013 |
Wodo O, Roehling JD, Moulé AJ, Ganapathysubramanian B. Quantifying organic solar cell morphology: a computational study of three-dimensional maps Energy & Environmental Science. 6: 3060. DOI: 10.1039/C3Ee41224E |
0.363 |
|
2013 |
Kodali HK, Ganapathysubramanian B. Sensitivity analysis of current generation in organic solar cells—comparing bilayer, sawtooth, and bulk heterojunction morphologies Solar Energy Materials and Solar Cells. 111: 66-73. DOI: 10.1016/J.Solmat.2012.12.004 |
0.335 |
|
2013 |
Fontanini A, Vaidya U, Ganapathysubramanian B. A stochastic approach to modeling the dynamics of natural ventilation systems Energy and Buildings. 63: 87-97. DOI: 10.1016/J.Enbuild.2013.03.053 |
0.317 |
|
2012 |
Kodali HK, Ganapathysubramanian B. Computer simulation of heterogeneous polymer photovoltaic devices Modelling and Simulation in Materials Science and Engineering. 20: 35015. DOI: 10.1088/0965-0393/20/3/035015 |
0.336 |
|
2012 |
Jaeger R, Ren J, Xie Y, Sundararajan S, Olsen MG, Ganapathysubramanian B. Nanoscale surface roughness affects low Reynolds number flow: Experiments and modeling Applied Physics Letters. 101. DOI: 10.1063/1.4764293 |
0.318 |
|
2012 |
Wodo O, Tirthapura S, Chaudhary S, Ganapathysubramanian B. Computational characterization of bulk heterojunction nanomorphology Journal of Applied Physics. 112: 64316. DOI: 10.1063/1.4752864 |
0.341 |
|
2012 |
Wodo O, Tirthapura S, Chaudhary S, Ganapathysubramanian B. A graph-based formulation for computational characterization of bulk heterojunction morphology Organic Electronics. 13: 1105-1113. DOI: 10.1016/J.Orgel.2012.03.007 |
0.342 |
|
2012 |
Wodo O, Ganapathysubramanian B. Modeling morphology evolution during solvent-based fabrication of organic solar cells Computational Materials Science. 55: 113-126. DOI: 10.1016/J.Commatsci.2011.12.012 |
0.356 |
|
2012 |
Kodali HK, Ganapathysubramanian B. A computational framework to investigate charge transport in heterogeneous organic photovoltaic devices Computer Methods in Applied Mechanics and Engineering. 247: 113-129. DOI: 10.1016/J.Cma.2012.08.012 |
0.337 |
|
2011 |
Wodo O, Ganapathysubramanian B. Computationally efficient solution to the Cahn-Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem Journal of Computational Physics. 230: 6037-6060. DOI: 10.1016/J.Jcp.2011.04.012 |
0.356 |
|
2011 |
Fontanini A, Olsen MG, Ganapathysubramanian B. Thermal comparison between ceiling diffusers and fabric ductwork diffusers for green buildings Energy and Buildings. 43: 2973-2987. DOI: 10.1016/J.Enbuild.2011.07.005 |
0.347 |
|
2009 |
Ganapathysubramanian B, Zabaras N. A stochastic multiscale framework for modeling flow through random heterogeneous porous media Journal of Computational Physics. 228: 591-618. DOI: 10.1016/J.Jcp.2008.10.006 |
0.614 |
|
2009 |
Ganapathysubramanian B. Using data to account for lack of data: Linking material informatics with stochastic analysis Jom. 61: 54-58. DOI: 10.1007/S11837-009-0010-1 |
0.371 |
|
2008 |
Ganapathysubramanian B, Zabaras N. A non-linear dimension reduction methodology for generating data-driven stochastic input models Journal of Computational Physics. 227: 6612-6637. DOI: 10.1016/J.Jcp.2008.03.023 |
0.598 |
|
2008 |
Zabaras N, Ganapathysubramanian B. A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach Journal of Computational Physics. 227: 4697-4735. DOI: 10.1016/J.Jcp.2008.01.019 |
0.602 |
|
2008 |
Ganapathysubramanian B, Zabaras N. A seamless approach towards stochastic modeling: Sparse grid collocation and data driven input models Finite Elements in Analysis and Design. 44: 298-320. DOI: 10.1016/J.Finel.2007.11.015 |
0.595 |
|
2007 |
Ganapathysubramanian B, Zabaras N. Modeling diffusion in random heterogeneous media : Data-driven models, stochastic collocation and the variational multiscale method Journal of Computational Physics. 226: 326-353. DOI: 10.1016/J.Jcp.2007.04.009 |
0.606 |
|
2007 |
Ganapathysubramanian B, Zabaras N. Sparse grid collocation schemes for stochastic natural convection problems Journal of Computational Physics. 225: 652-685. DOI: 10.1016/J.Jcp.2006.12.014 |
0.615 |
|
2006 |
Zabaras N, Ganapathysubramanian B, Tan L. Modelling dendritic solidification with melt convection using the extended finite element method Journal of Computational Physics. 218: 200-227. DOI: 10.1016/J.Jcp.2006.02.002 |
0.662 |
|
2005 |
Ganapathysubramanian B, Zabaras N. Control of solidification of non-conducting materials using tailored magnetic fields Journal of Crystal Growth. 276: 299-316. DOI: 10.1016/J.Jcrysgro.2004.11.336 |
0.602 |
|
2005 |
Ganapathysubramanian B, Zabaras N. On the control of solidification using magnetic fields and magnetic field gradients International Journal of Heat and Mass Transfer. 48: 4174-4189. DOI: 10.1016/J.Ijheatmasstransfer.2005.04.027 |
0.584 |
|
2004 |
Ganapathysubramanian B, Zabaras N. Using magnetic field gradients to control the directional solidification of alloys and the growth of single crystals Journal of Crystal Growth. 270: 255-272. DOI: 10.1016/J.Jcrysgro.2004.06.020 |
0.548 |
|
Show low-probability matches. |