A practical approach to quantitative analytical surface-enhanced Raman spectroscopy

Yikai Xu, Wafaa Aljuhani, Yingrui Zhang, Ziwei Ye, Chunchun Li and Steven E. J. Bell

Chem. Soc. Rev., 2025, 54, 62
DOI: 10.1039/D4CS00861H

Golden eyes on pollutants: colorimetric detection of emerging contaminants with AuNPs

Evana Sultana and Muhammad Shamim Al Mamun

RSC Adv., 2025, 15, 32833
DOI: 10.1039/D5RA05615B

Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV–Vis Extinction Spectra

Tomas Klinavičius, Nadzeya Khinevich, Asta Tamulevičienė, Loïc Vidal, Sigitas Tamulevičius and Tomas Tamulevičius

J. Phys. Chem. C, 2024, 128, 9662
DOI: 10.1021/acs.jpcc.4c02459

Transfer Learning‐Assisted SERS: Predicting Molecular Identity and Concentration in Mixtures Using Pure Compound Spectra

Emily Xi Tan, Jaslyn Ru Ting Chen, Desmond Wei Cheng Pang, Nguan Soon Tan, In Yee Phang and Xing Yi Ling

Angew Chem Int Ed, 2025, 64
DOI: 10.1002/anie.202508717

Forward-predictive SERS-based chemical taxonomy for untargeted structural elucidation of epimeric cerebrosides

Emily Xi Tan, Shi Xuan Leong, Wei An Liew, In Yee Phang, Jie Ying Ng, Nguan Soon Tan, Yie Hou Lee and Xing Yi Ling

Nat Commun, 2024, 15
DOI: 10.1038/s41467-024-46838-z

Machine Learning to Adaptively Predict Gold Nanorod Sizes on Different Substrates

Katsuya Shiratori, Claire A. West, Zhenyang Jia, Stephen A. Lee, Emily A. Cook, Catherine J. Murphy, Christy F. Landes and Stephan Link

J. Phys. Chem. C, 2025, 129, 5913
DOI: 10.1021/acs.jpcc.5c00244

Creating 3D Nanoparticle Structural Space via Data Augmentation to Bidirectionally Predict Nanoparticle Mixture's Purity, Size, and Shape from Extinction Spectra

Emily Xi Tan, Jingxiang Tang, Yong Xiang Leong, In Yee Phang, Yih Hong Lee, Chi Seng Pun and Xing Yi Ling

Angew Chem Int Ed, 2024, 63
DOI: 10.1002/anie.202317978

Machine Learning Models for Predicting the Localized Surface Plasmon Resonance of Metallic and Core-Shell Nanoparticles

Hamideh Talebi, Farzin Emami and Kamran Kazemi

Physica B: Condensed Matter, 2026, 418587
DOI: 10.1016/j.physb.2026.418587

Impact of Surface Enhanced Raman Spectroscopy in Catalysis

Andrei Stefancu, Javier Aizpurua, Ivano Alessandri, Ilko Bald, Jeremy J. Baumberg, Lucas V. Besteiro, Phillip Christopher, Miguel Correa-Duarte, Bart de Nijs, Angela Demetriadou, Renee R. Frontiera, Tomohiro Fukushima, Naomi J. Halas, Prashant K. Jain, Zee Hwan Kim, Dmitry Kurouski, Holger Lange, Jian-Feng Li, Luis M. Liz-Marzán, Ivan T. Lucas, Alfred J. Meixner, Kei Murakoshi, Peter Nordlander, William J. Peveler, Raul Quesada-Cabrera, Emilie Ringe, George C. Schatz, Sebastian Schlücker, Zachary D. Schultz, Emily Xi Tan, Zhong-Qun Tian, Lingzhi Wang, Bert M. Weckhuysen, Wei Xie, Xing Yi Ling, Jinlong Zhang, Zhigang Zhao, Ru-Yu Zhou and Emiliano Cortés

ACS Nano, 2024, 18, 29337
DOI: 10.1021/acsnano.4c06192

Chemistry-informed recommender system to predict optimal molecular receptors in SERS nanosensors

Emily Xi Tan, Yong Xiang Leong, Shan Huei Lim, Mike Wei Kuang Chng, In Yee Phang and Xing Yi Ling

Nat Commun, 2025, 16
DOI: 10.1038/s41467-025-62519-x

Multiscale Chirality in Gold Nanoflowers: Chiral Hotspots, Surface Asymmetry, and Molecular Recognition for Enantioselective SERS

Youmei Jia, Emily Xi Tan, Rong Deng, Yan Lv, In Yee Phang and Xing Yi Ling

ACS Appl. Mater. Interfaces, 2026, 18, 15814
DOI: 10.1021/acsami.5c26111

How to Select the Proper Gold Permittivity for Generating Training Data for Deep Neural Networks for Analysis of the Nanoparticle Colloid Size Distributions from Their UV–Vis–NIR Extinction Spectra?

Tomas Klinavičius, Asta Tamulevičienė and Tomas Tamulevičius

J. Phys. Chem. C, 2025
DOI: 10.1021/acs.jpcc.5c03973

Machine Learning-Based Interpretation of Optical Properties of Colloidal Gold with Convolutional Neural Networks

Frida Bilén, Pernilla Ekborg-Tanner, Antoine Balzano, Michaël Ughetto, Robson Rosa da Silva, Hannes Schomaker, Paul Erhart, Kasper Moth-Poulsen and Romain Bordes

J. Phys. Chem. C, 2024, 128, 13909
DOI: 10.1021/acs.jpcc.4c02971

An LM-Type Unit Root Test for Functional Time Series

Yichao Chen and Chi Seng Pun

Mathematics, 2026, 14, 916
DOI: 10.3390/math14050916

Empowering scientific discovery with explainable small domain-specific and large language models

Hengjie Yu, Yizhi Wang, Tao Cheng, Yan Yan, Kenneth A. Dawson, Sam F. Y. Li, Yefeng Zheng and Yaochu Jin

Artif Intell Rev, 2025, 58
DOI: 10.1007/s10462-025-11365-w

Creating 3D Nanoparticle Structural Space via Data Augmentation to Bidirectionally Predict Nanoparticle Mixture's Purity, Size, and Shape from Extinction Spectra

Emily Xi Tan, Jingxiang Tang, Yong Xiang Leong, In Yee Phang, Yih Hong Lee, Chi Seng Pun and Xing Yi Ling

Angewandte Chemie, 2024, 136
DOI: 10.1002/ange.202317978

Developing Neural Networks for Inverse Design of Chiral Metamaterials

Xiaoye Zhang, Xinyi Chen, Jinglan Zhang, Fengyi Zhang, Yaxin Wang, Bin Ai, Yongjun Zhang and Xiaoyu Zhao

Laser & Photonics Reviews, 2025, 19
DOI: 10.1002/lpor.202500051

Building a Foundation SERS Model for Lipids through Fatty Acid Pretraining for Annotation across Chemical Spaces

Rui Han, Emily Xi Tan, Yangcenzi Xie, Hong Sheng Cheng, Nguan Soon Tan, Yan Lv, In Yee Phang and Xing Yi Ling

ACS Appl. Mater. Interfaces, 2026, 18, 17168
DOI: 10.1021/acsami.6c00759

Transfer Learning‐Assisted SERS: Predicting Molecular Identity and Concentration in Mixtures Using Pure Compound Spectra

Emily Xi Tan, Jaslyn Ru Ting Chen, Desmond Wei Cheng Pang, Nguan Soon Tan, In Yee Phang and Xing Yi Ling

Angewandte Chemie, 2025, 137
DOI: 10.1002/ange.202508717

Machine learning-driven material intelligence research and development

Huijie Zhou, Jiming Xu, Xinyu Qin, Jing Zhang, Wenjiang Zou, Mohsen Shakouri, Jiang Xu, Lvzhou Li, Jianning Ding and Huan Pang

Nano Research, 2025, 18, 94908095
DOI: 10.26599/NR.2025.94908095

Intelligent Fitting Identification of the Best Equation for the Determination of Gold Nanoparticle Size from the Optical Absorption Spectrum

Runpeng Miao and Vincenzo Amendola

J. Phys. Chem. C, 2026, 130, 437
DOI: 10.1021/acs.jpcc.5c06804

Colloidal Synthesis of Plasmonic Complex Metal Nanoparticles: Sequential Execution of Multiple Chemical Toolkits Increases Morphological Complexity

Insub Jung, Sungwoo Lee, Soohyun Lee, Jeongwon Kim, Sunwoo Kwon, Hyunji Kim and Sungho Park

Chem. Rev., 2025, 125, 7321
DOI: 10.1021/acs.chemrev.4c00897

Quantitative evaluation of biomolecule-gold nanoparticle conjugation with varying morphologies and application of monodispersed conjugates for SPR biosensing

Jiarui Gao, Abtin Saateh, Jun Xu and Hatice Altug

Surfaces and Interfaces, 2026, 82, 108387
DOI: 10.1016/j.surfin.2025.108387

Learning and Predicting Photonic Responses of Plasmonic Nanoparticle Assemblies via Dual Variational Autoencoders

Muammer Y. Yaman, Sergei V. Kalinin, Kathryn N. Guye, David S. Ginger and Maxim Ziatdinov

Small, 2023, 19
DOI: 10.1002/smll.202205893

Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers

Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J Senthilnath and Vijila Chellappan

Knowledge-Based Systems, 2024, 295, 111812
DOI: 10.1016/j.knosys.2024.111812

Surface-Enhanced Raman Scattering-Based Multimodal Techniques: Advances and Perspectives

Emily Xi Tan, Qi-Zhi Zhong, Jaslyn Ru Ting Chen, Yong Xiang Leong, Guo Kang Leon, Cam Tu Tran, In Yee Phang and Xing Yi Ling

ACS Nano, 2024, 18, 32315
DOI: 10.1021/acsnano.4c12996

Machine Learning Enhanced Optical Microscopy for the Rapid Morphology Characterization of Silver Nanoparticles

Yaodong Xu, Da Xu, Ning Yu, Boqun Liang, Zhaoxi Yang, M. Salman Asif, Ruoxue Yan and Ming Liu

ACS Appl. Mater. Interfaces, 2023, 15, 18244
DOI: 10.1021/acsami.3c02448

The role of artificial intelligence and the internet of things in chitosan synthesis and electrochemical sensors applications: A brief overview

Yohan, Irkham, Irwan Kurnia, Natasha Fransisca, Adisyahputra and Yeni Wahyuni Hartati

Sensing and Bio-Sensing Research, 2026, 51, 100970
DOI: 10.1016/j.sbsr.2026.100970

Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X

Yong Xiang Leong, Emily Xi Tan, Shi Xuan Leong, Charlynn Sher Lin Koh, Lam Bang Thanh Nguyen, Jaslyn Ru Ting Chen, Kelin Xia and Xing Yi Ling

ACS Nano, 2022, 16, 13279
DOI: 10.1021/acsnano.2c05731

SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications

Emily Xi Tan, Lam Bang Thanh Nguyen, Yubin Jin, Yan Lv, In Yee Phang and Xing Yi Ling

ACS Cent. Sci., 2025, 11, 2034
DOI: 10.1021/acscentsci.5c00785