Investigating the Optical Properties of Gold Nanorods Using Forward and Inverse Design.

Sabrina Islam, Abu S M Mohsin, Mohammed Belal Hossain Bhuian, Md Mosaddequr Rahman

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Sabrina IslamNanotechnology, AI, IoT, and Applied Machine Learning Research Group, Department of Electrical and Electronic Engineering, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh.ORCID https://orcid.org/0009-0006-3584-6796

Abu S M MohsinNanotechnology, AI, IoT, and Applied Machine Learning Research Group, Department of Electrical and Electronic Engineering, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh.ORCID https://orcid.org/0000-0001-9281-9088

Mohammed Belal Hossain BhuianNanotechnology, AI, IoT, and Applied Machine Learning Research Group, Department of Electrical and Electronic Engineering, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh.

Md Mosaddequr RahmanNanotechnology, AI, IoT, and Applied Machine Learning Research Group, Department of Electrical and Electronic Engineering, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles exhibit distinct optical properties due to their size, shape, and material composition, making them useful in photonics, sensing, and biological applications. Mie and Mie-Gans theory can be used to compute the optical properties of spherical and rod-shaped nanoparticles, which are limited by surface scattering and radiation damping; however, it cannot explain the optical properties of bipyramid, dumbbell, cube, and rectangular-shaped nanoparticles. Advanced computational techniques like Finite Difference Time Domain (FDTD) could be used to simulate the optical properties of complex-shaped nanoparticles, which is time-consuming and complex. To address this, we proposed to use a machine and deep learning-based forward and inverse design to explore the optical properties of gold nanorods. In forward design, we evaluated five different models and identified the XGB Regressor as the best performing model (MSE: 0.0041, MAE: 0.0190, R

Identifiers

PMID42222797

DOI10.1021/acsomega.5c05623

PMCPMC13216947

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.