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20112026
most citedCrop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

226 citations · 733 across the 101 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

math.NA2019★ 31 cited

Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes

Makrand A Khanwale, Alec D. Lofquist, Hari Sundar +2

We report on simulations of two-phase flows with deforming interfaces at various density contrasts by solving thermodynamically consistent Cahn-Hilliard Navier-Stokes equations. An…

cond-mat.soft2019

Equilibrium microstructures of diblock copolymers under 3D confinement

Ananth Tenneti, David M Ackerman, Baskar Ganapathysubramanian

We investigate equilibrium microstructures exhibited by diblock copolymers in confined 3D geometries. We perform Self-Consistent Field Theory (SCFT) simulations using a finite-elem…

cs.LG2019★ 20 cited

Encoding Invariances in Deep Generative Models

Viraj Shah, Ameya Joshi, Sambuddha Ghosal +4

Reliable training of generative adversarial networks (GANs) typically require massive datasets in order to model complicated distributions. However, in several applications, traini…

physics.flu-dyn2019★ 5 cited

Shape-design for stabilizing micro-particles in inertial microfluidic flows

Aditya Kommajosula, Daniel Stoecklein, Dino Di Carlo +1

Design of microparticles which stabilize at the centerline of a channel flow when part of a dilute suspension is examined numerically for moderate Reynolds numbers ($10 \le Re \le…

physics.flu-dyn2019★ 1 cited

High throughput, automated prediction of focusing patterns for inertial microfluidics

Aditya Kommajosula, Jeong-ah Kim, Wonhee Lee +1

Visual inspections for identifying focusing points in inertial microfluidic flows are prone to misinterpreting stable locations and focusing shifts in the case of non-trivial focus…