This content will become publicly available on July 1, 2022
Preface to the special issue on machine learning and data-driven design of materials issue in computational materials science
- Award ID(s):
- 1651668
- Publication Date:
- NSF-PAR ID:
- 10248531
- Journal Name:
- Computational Materials Science
- Volume:
- 195
- Issue:
- C
- Page Range or eLocation-ID:
- 110452
- ISSN:
- 0927-0256
- Sponsoring Org:
- National Science Foundation
More Like this
-
Cellular service carriers often employ reactive strategies to assist customers who experience non-outage related individual service degradation issues (e.g., service performance degradations that do not impact customers at scale and are likely caused by network provisioning issues for individual devices). Customers need to contact customer care to request assistance before these issues are resolved. This paper presents our experience with PACE (ProActive customer CarE), a novel, proactive system that monitors, troubleshoots and resolves individual service issues, without having to rely on customers to first contact customer care for assistance. PACE seeks to improve customer experience and care operation efficiency bymore »