Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Dimensions, bits, and wows in accelerating materials discovery
Lav R. Varshney
National Center for Supercomputing Applications (NCSA)
Industrial and Enterprise Systems Engineering
Coordinated Science Lab
Beckman Institute for Advanced Science and Technology
Carl R. Woese Institute for Genomic Biology
Neuroscience Program
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Dimensions, bits, and wows in accelerating materials discovery'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Three-class
100%
Data Compression
100%
Information Theory
100%
Dimensionality Reduction
100%
Quality Measures
100%
Communication Difficulties
100%
Materials Discovery
100%
Mass Communication
100%
Concept Learning
100%
Artificial Intelligence
100%
Human Attention
100%
Machine Learning Problems
100%
Computational Creativity
100%
Computational Problems
100%
Scientific Domain
100%
Bayesian Surprise
100%
Accelerated Discovery
100%
Computer Science
Approximation (Algorithm)
100%
Data Compression
100%
Learning Problem
100%
Dimensionality Reduction
100%
Communication Problem
100%
Scientific Domain
100%
Computational Problem
100%
Machine Learning
100%
Learning System
100%
Artificial Intelligence
100%
Engineering
Dimensionality
100%
Learning System
100%
Artificial Intelligence
100%
Chemical Engineering
Artificial Intelligence
100%
Learning System
100%