Work

Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques

Year: 2018

Type: book-chapter

Source: Computer-aided chemical engineering/Computer aided chemical engineering

DOI: 10.1016/b978-0-444-64235-6.50076-0

Authors: Melis Onel, Burcu Beykal, Meichen Wang, Fabian A. Grimm, Lan Zhou, Fred A. Wright, Timothy D. Phillips, Ivan Rusyn, Efstratios N. Pistikopoulos

Institutions: Texas A&M University, North Carolina State University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funder: National Institute of Environmental Health Sciences

Award: Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events

OpenAlex ID: W2810116539

FWCI: 3.137

Cites: 6

Cited by: 11

Related to: 10