Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Search content at Experts@Minnesota
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Monte Carlo simulations of environmental degradation on polymer coatings
Brian Hinderliter
, Stuart Croll
Mechanical & Industrial Engineering
Research output
:
Contribution to journal
›
Conference article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Monte Carlo simulations of environmental degradation on polymer coatings'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Monte Carlo Simulation
100%
Environmental Degradation
100%
Monte Carlo
100%
Polymer Coating
100%
Monte Carlo Method
50%
Surface Chemistry
50%
Multiphase Systems
50%
Polymer Matrix
50%
Physical Properties
50%
Fracture Toughness
50%
Repeated Application
50%
Multiple Phases
50%
Observed Behavior
50%
Particle Distribution
50%
Binder
50%
Surface Energy
50%
Method of Levels
50%
Random Process
50%
Coated Surface
50%
Phase-type Distribution
50%
Monte Carlo Model
50%
Property Change
50%
Surface Topography
50%
Measurable Properties
50%
Physical Distribution
50%
Solar Flux
50%
Surface Topology
50%
Simple Random
50%
Soft Phase
50%
Hard Phase
50%
Coating Lifetime
50%
Polymer Binder
50%
Polymer Filler
50%
Wetting Contact Angle
50%
Technology Advancement
50%
Pigment Particles
50%
Engineering
Polymer Segment
100%
Coating Surface
50%
Multiphase System
50%
Desired Property
50%
Repeated Application
50%
Measurable Property
50%
Nanoscale
50%
Polymer Matrix
50%
Random Process
50%
Surface Topography
50%
Pigment Particle
50%
Soft Phase
50%
Hard Phase
50%
Polymer Binder
50%
Interfacial Energy
50%
Fracture Strength
50%
Material Science
Polymer Coating
100%
Surface (Surface Science)
100%
Polymer Matrix
50%
Physical Property
50%
Fracture Toughness
50%
Surface Energy
50%
Contact Angle
50%
Surface Topography
50%