Work

Automation and data-driven design of polymer therapeutics

Year: 2020

Type: review

Source: Advanced Drug Delivery Reviews

DOI: 10.1016/j.addr.2020.11.009

Authors: Rahul Upadhya, Shashank Kosuri, Matthew Tamasi, Travis A. Meyer, Supriya Atta, Michael A. Webb, Adam J. Gormley

Institutions: Rutgers, The State University of New Jersey, Princeton University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences, National Center for Research Resources

Awards: G1026088249, G1699319024, G3464015946, Rutgers University Biotechnology Training Program, Macromolecular Crystallography at the National Synchrotron Light Source, IRACDA at Rutgers: INSPIRE Postdoctoral Training Program

OpenAlex ID: W3110641297

FWCI: 0.448

Cites: 285

Cited by: 104

Related to: 10