Work

Machine Learning-Driven Optimization of CuAl 1– x Fe x S 2 -based Solar Cells with Oxygen-Implanted FeS 2 Thin Films as the Hole Transport Layer

Year: 2025

Type: article

Source: ACS Applied Energy Materials

DOI: 10.1021/acsaem.5c03100

Authors: Rudra Narayan Chakraborty, Dipta Suryya Mahanta, Kasilingam Senthilkumar

Institution: National Institute of Technology Meghalaya

Language: English

Topic: Chalcogenide Semiconductor Thin Films

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: Department of Science and Technology, Ministry of Science and Technology, India, Inter-University Accelerator Centre

Awards: G2431686422, G6371993600

OpenAlex ID: W4416602164

FWCI: 0.231

Cites: 40

Cited by: 1

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