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Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

A "calcification"-enhanced deep learning approach for precise differentiation of thyroid nodules. [PDF]

open access: yesCancer Imaging
Zhu X   +8 more
europepmc   +1 more source

AI-Assisted Identification of the Medial Lingual Foramen on CBCT: A Deep Learning Approach for Preoperative Implant Assessment. [PDF]

open access: yesMedicina (Kaunas)
Ban A   +7 more
europepmc   +1 more source
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Navigational guidance – A deep learning approach

European Journal of Operational Research, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Benjamin P.-C. Yen, Yu Luo
openaire   +3 more sources

Deep Learning Approach for Prediction of Learning Disability

Proceedings of the 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2021
One of the most common disorders in the world is learning disorder. Learning disorders are a disease that affects learning skills. The person with learning difficulties also understands, accept and recognize things in different ways. This can lead to problems learning new knowledge, skills and placing them into practice.
Poonam Dhamal, Shashi Mehrotra
openaire   +1 more source

Deep learning approach to Hubble parameter

Computer Physics Communications, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Tilaver   +3 more
openaire   +3 more sources

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