Hitoshi Tampo

affiliation not provided to SSRN

Learn more about SSRN Profiles

SCHOLARLY PAPERS

1

DOWNLOADS

49

TOTAL CITATIONS

0

Feedback

Scholarly Papers (1)

Sort by:

Actions:

View:
Selected
Original List
All Versions Hide All Versions
All Abstracts Hide All Abstracts

(Rank)

1.

Machine learning study of surface and bulk compositional features governing Ge-incorporated kesterite solar cell performance

Number of pages: 34 Posted: 16 Oct 2025

Sanghun Lee, Shinho Kim, Hitoshi Tampo, Takehiko Nagai and Yang-Do Kim

Pusan National University, Pusan National University, affiliation not provided to SSRN, affiliation not provided to SSRN and Pusan National University

Downloads 49 (1,097,529)

Abstract:

Feedback

All content on this site: Copyright © 2026 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

We use cookies to help provide and enhance our service and tailor content.

To learn more, visit .