Kedar Hippalgaonkar

According to our database, Kedar Hippalgaonkar authored at least 16 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions.

Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price, Victor Posligua, Stephan Roche, O. Anatole von Lilienfeld, Konstantin S. Novoselov, Xavier Bresson, Gianmarco Mengaldo, Xudong Chen, Terence J. O'Kane, Emily R. Lines, Matthew J. Allen, Amandine E. Debus, Clayton Miller, Jiayu Zhou, Hiroko H. Dodge, David Rousseau, Andrey Ustyuzhanin, Ziyun Yan, Mario Lanza, Fabio Sciarrino, Ryo Yoshida, Zhidong Leong, Teck Leong Tan, Qianxiao Li, Adil Kabylda, Igor Poltavsky, Alexandre Tkatchenko, Sherif Abdulkader Tawfik, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Kristin A. Persson, Bryant Y. Li, Vir Karan, Chenru Duan, Haojun Jia, Qiyuan Zhao, Hiroyuki Hayashi, Atsuto Seko, Isao Tanaka, Omar M. Yaghi, Tim Gould, Bun Chan, Stefan Vuckovic, Tianbo Li, Min Lin, Zehcen Tang, Yang Li, Yong Xu, Amrita Joshi, Xiaonan Wang, Leonard W. T. Ng, Sergei V. Kalinin, Mahshid Ahmadi, Jiyizhe Zhang, Shuyuan Zhang, Alexei A. Lapkin, Ming Xiao, Zhe Wu, Kedar Hippalgaonkar, Limsoon Wong, Lorenzo Bastonero, Nicola Marzari, Dorye Luis Esteras Cordoba, Andrei Tomut, Alba Quinones Andrade, Jose-Hugo Garcia

CoRR, November, 2025

Wyckoff Transformer: Generation of Symmetric Crystals.

Nikita Kazeev, Wei Nong, Ignat Romanov, Ruiming Zhu, Andrey E. Ustyuzhanin, Shuya Yamazaki, Kedar Hippalgaonkar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Constructing custom thermodynamics using deep learning.

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

Nat. Comput. Sci., 2024

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, Vijila Chellappan

Knowl. Based Syst., 2024

Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning.

Maung Thway, Jose Recatala-Gomez, Fun Siong Lim, Kedar Hippalgaonkar, Leonard W. T. Ng

CoRR, 2024

2023

Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization.

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

J. Chem. Inf. Model., August, 2023

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

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

CoRR, 2023

Optimising Ferroelectric Thin Films with Evolutionary Computation.

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

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2021

Efficacious symmetry-adapted atomic displacement method for lattice dynamical studies.

Chee Kwan Gan, Yun Liu, Tze Chien Sum, Kedar Hippalgaonkar

Comput. Phys. Commun., 2021

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains.

Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi

CoRR, 2021

Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models.

Yee-Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar

Adv. Intell. Syst., 2021

2020

Inverse design of crystals using generalized invertible crystallographic representation.

Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi

CoRR, 2020

2018

Graph Convolutional Neural Networks for Polymers Property Prediction.

Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar

CoRR, 2018

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials.

Léo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar

CoRR, 2018

Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing.

Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi

CoRR, 2018

2007

Room temperature observation of point defect on gold surface using thermovoltage mapping.

Arijit Roy, Cher Ming Tan, Sean J. O'Shea, Kedar Hippalgaonkar, Wulf Hofbauer

Microelectron. Reliab., 2007