Publications

2023

Note:

1. *denotes equal contribution, #denotes corresponding author

2. PDF files of the publications can be accessed here. All of the files are copyrighted. You may download them only if you are entitled to do so by your arrangements with individual publishers.

1. "Reply to: Mobility overestimation in molybdenum disulfide transistors due to invasive voltage probes", Nature Electronics, 6, 11, 839–841, 2023. (Link)

Hong Kuan Ng, Du Xiang, Ady Suwardi, Guangwei Hu, Ke Yang, Yunshan Zhao, Tao Liu, Zhonghan Cao, Huajun Liu, Shisheng Li, Jing Cao, Qiang Zhu, Zhaogang Dong, Chee Kiang Ivan Tan, Dongzhi Chi, Cheng-Wei Qiu, Kedar Hippalgaonkar, Goki Eda, Ming Yang, Jing Wu

2. "Closed-Loop Multi-Objective Optimization for Cu–Sb–S Photo-Electrocatalytic Materials’ Discovery", Advanced Materials, 2304269, 2023. (Link)

Yang Bai, Zi Hui Jonathan Khoo, Riko I Made, Huiqing Xie, Carina Yi Jing Lim, Albertus Denny Handoko, Vijila Chellappan, Jianwei Jayce Cheng, Fengxia Wei, Yee‐Fun Lim, Kedar Hippalgaonkar

3. "Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs", Preprint (Version 1) available at ChemRxiv, 31 August 2023. (Link)

Andre KY Low, Flore Mekki-Berrada, Aleksandr Ostudin, Jiaxun Xie, Eleonore Vissol-Gaudin, Yee-Fun Lim, Abhishek Gupta, Qianxiao Li, Yew Soon Ong, Saif A Khan, Kedar Hippalgaonkar

4. "pHbot: Self-Driven Robot for pH Adjustment of Viscous Formulations via Physics-informed-ML", Preprint (Version 1) available at ChemRxiv, 18 August 2023. (Link)

Aniket Chitre, Jayce Cheng, Sarfaraz Ahmed, Robert Querimit, Kedar Hippalgaonkar, Alexei Lapkin

5. "Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers", Preprint (Version 1) available at arXiv, 8 August 2023. (Link)

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

6. "Constructing Custom Thermodynamics Using Deep Learning", Preprint (Version 1) available at arXiv, 8 August 2023. (Link)

Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eleonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li

7. "Optimising Ferroelectric Thin Films with Evolutionary Computation", Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023. (Link)

Eléonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar

8. "Reply to: Mobility overestimation in MoS2 transistors due to invasive voltage probes", Preprint (Version 2) available at arXiv, 18 July 2023. (Link)

9. "Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization", Journal of Chemical Information and Modeling, 63, 15, 4560–4573, 2023. (Link)

Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Jian Wei Cheng, Yee-Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar#, and Kedar Hippalgaonkar#

10. "Phase engineering and surface reconstruction of CrxMnFeNi high entropy alloys for electrocatalytic water splitting", Journal of Alloys and Compounds, 960, 171039, 2023. (Link)

Yong Wang#, Na Gong, Gang Niu, Junyu Ge, Xianyi Tan, Mingsheng Zhang, Hongfei Liu, Huibin Wu, Tzee Luai Meng, Huiqing Xie, Kedar Hippalgaonkar#, Zheng Liu#, Yizhong Huang#

11. "Sub-10 nm Mixing and Alloying of Cu–Ag and Cu–Ni via Accelerated Solid Diffusion", ACS Applied Materials & Interfaces, 15, 23, 28398–28409, 2023. (Link)

Haiwen Dai, Sofia Dimitriadou, P. S. Sankara Rama Krishnan, Albertus Denny Handoko, Jose Recatala-Gomez, Yong Wang, D. V. Maheswar Repaka, Maung Thway, Chenguang Zhang, Martial Duchamp, and Kedar Hippalgaonkar#

12. "Ordering-Dependent Hydrogen Evolution and Oxygen Reduction Electrocatalysis of High-Entropy Intermetallic Pt4FeCoCuNi", Advanced Materials, 35, 28, 2302067, 2023. (Link)

Yong Wang#, Na Gong#, Hongfei Liu, Wei Ma, Kedar Hippalgaonkar#, Zheng Liu#, Yizhong Huang#

13. "Automated Electrokinetic Stretcher for Manipulating Nanomaterials", Preprint (Version 1) available at arXiv, 21 April 2023. (Link)

Beatrice W Soh, Zi-En Ooi, Eleonore Vissol-Gaudin, Chang Jie Leong, Kedar Hippalgaonkar

14. "Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics", Nature Reviews Materials, 8, 241–260, 2023. (Link)

Kedar Hippalgaonkar#, Qianxiao Li, Xiaonan Wang, John W. Fisher III, James Kirkpatrick, Tonio Buonassisi#

15. "Linking Polaron Signatures to Charge Transport in Doped Thiophene Polymers", ACS Applied Energy Materials, 6, 7, 3960–3969, 2023. (Link)

Anas Abutaha, Vijila Chellappan, Pawan Kumar#, and Kedar Hippalgaonkar#

16. "Predicting Synthesizability using Machine Learning on Databases of Existing Inorganic Materials", ACS Omega, 8, 9, 8210–8218, 2023. (Link)

Ruiming Zhu, Siyu Isaac Parker Tian, Zekun Ren, Jiali Li, Tonio Buonassisi, and Kedar Hippalgaonkar#

17. "Distinction between alloyed Perovskite and elpasolite nanocrystals", 20th International Microscopy Congress (IMC20), 2023. (Link)

Mishra Pritish, Zhang Mengyuan, Andy Paul Chen, Sum Tze Chien, Martial Duchamp, Lam Yeng Ming, Kedar Hippalgaonkar

18. "Author Correction: Surface charge as activity descriptors for electrochemical CO2 reduction to multi-carbon products on organic-functionalised Cu", Nature Communications, 14, 335, 2023. (Link)

Carina Yi Jing Lim, Meltem Yilmaz, Juan Manuel Arce-Ramos, Albertus D. Handoko#, Wei Jie Teh, Yuangang Zheng, Zi Hui Jonathan Khoo, Ming Lin, Mark Isaacs, Teck Lip Dexter Tam, Yang Bai, Chee Koon Ng, Boon Siang Yeo, Gopinathan Sankar, Ivan P. Parkin, Kedar Hippalgaonkar, Michael B. Sullivan, Jia Zhang# & Yee-Fun Lim#

19. "Surface charge as activity descriptors for electrochemical CO2 reduction to multi-carbon products on organic-functionalised Cu", Nature Communications, 14, 335, 2023. (Link)

20. "Differentiating between perovskite and double perovskite nanocrystals", 11th International Conference on Materials for Advanced Technologies (ICMAT), 2023. (Link)

Pritish Mishra, Mengyuan Zhang, Yeng Ming Lam, Kedar Hippalgaonkar

21. "Diagnosis of doped conjugated polymer films using hyperspectral imaging", Digital Discovery, 2, 471-480, 2023. (Link)

Vijila Chellappan#, Adithya Kumar, Saif Ali khan, Pawan Kumar and Kedar Hippalgaonkar#

22. "Automated pipetting robot for proxy high-throughput viscometry of Newtonian fluids", Digital Discovery, 2, 481-488, 2023. (Link)

Beatrice W. Soh, Aniket Chitre, Wen Yang Lee, Daniil Bash, Jatin N. Kumar and Kedar Hippalgaonkar#

23. "Mapping pareto fronts for efficient multi-objective materials discovery", Journal of Materials Informatics, 3, 11, 2023. (Link)

Low, Andre K.Y., Eleonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar#