APL machine learning.

Format:

Journal/Periodical

Language:

English

Subjects (All):

Machine learning--Periodicals.

Machine learning.

Physical sciences--Periodicals.

Physical sciences.

Genre:

Periodicals.

Physical Description:

Quarterly

Began with: Volume 1, Issue 1 (March 2023)

Other Title:

APL mach. learn.

AML

Place of Publication:

[Melville, New York] : AIP Publishing, LLC, 2023-

Summary:

Research for two communities: researchers who use machine learning (ML) and data-driven approaches for physical sciences and related disciplines, and researchers from these disciplines who work on novel concepts, including materials, devices, systems, and algorithms relevant for the development of better ML and AI technologies. The journal also considers research that substantially describes quantitative models and theories, especially if the research is validated with experimental results.

Notes:

Refereed/Peer-reviewed

Volume 1, Issue 1 (March 2023); title from cover image (aps.scitation.org viewed Mar. 1, 2023).

Volume 1, Issue 1 (March 2023) (aps.scitation.org viewed Mar. 1, 2023).

OCLC:

1287024821

Access Restriction:

Unrestricted online access