Machine learning assisted prediction of band gaps and designing of new polymers for photodetectors: A complete pipeline-Reference-Cited by-同舟云学术

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Machine learning assisted prediction of band gaps and designing of new polymers for photodetectors: A complete pipeline

Published:2024-04 Issue: Volume:239 Page:112961
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Alzahrani Fatimah Mohammed A.,Sagir Muhammad,Saqib Muhammad,Bashir Shahida,Sarwar Tayyaba,Hussain Shabbir,Murtaza Shahzad,Mushtaq Afifa,Razzaq Rafia,Alrowaili Z.A.,Al-Buriahi M.S.

Funder

Princess Nourah bint Abdulrahman University

Publisher

Elsevier BV

Reference62 articles.

1. High performance solution-processed infrared photodetector based on PbSe quantum dots doped with low carrier mobility polymer poly(N-vinylcarbazole);Sulaman;RSC Adv.,2016

2. High performance solution-processed infrared photodiode based on ternary PbSxSe1−x colloidal quantum dots;Sulaman;RSC Adv.,2016

3. An investigation on 4-aminobenzoic acid modified polyvinyl chloride/graphene oxide and PVC/graphene oxide based nanocomposite membranes;Ahmad;J. Plast. Film Sheeting,2015

4. Ultra-sensitive solution-processed broadband photodetectors based on vertical field-effect transistor;Sulaman;Nanotechnology,2019

5. Experimental and theoretical study of planar small molecule acceptor for organic solar cells;Irfan;J. Mol. Struct.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction frontier molecular orbital prediction model with transfer learning for organic materials;npj Computational Materials;2024-09-11

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