Kedar Hippalgaonkar

19 papers A* 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions. CoRR 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
2025	A*	`conf`	Wyckoff Transformer: Generation of Symmetric Crystals. ICML Nikita Kazeev, Wei Nong, Ignat Romanov, Ruiming Zhu, Andrey E. Ustyuzhanin, Shuya Yamazaki, Kedar Hippalgaonkar
2025	J	`jnl`	Wyckoff Transformer: Generation of Symmetric Crystals. CoRR Nikita Kazeev, Wei Nong, Ignat Romanov, Ruiming Zhu, Andrey Ustyuzhanin, Shuya Yamazaki, Kedar Hippalgaonkar
2024	J	`jnl`	Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning. CoRR Maung Thway, Jose Recatala-Gomez, Fun Siong Lim, Kedar Hippalgaonkar, Leonard W. T. Ng
2024	J	`jnl`	Constructing custom thermodynamics using deep learning. Nat. Comput. Sci. Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li
2024	J	`jnl`	Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers. Knowl. Based Syst. Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan
2023	J	`jnl`	Constructing Custom Thermodynamics Using Deep Learning. CoRR Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li
2023	J	`jnl`	Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers. CoRR Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan
2023	—	`conf`	Optimising Ferroelectric Thin Films with Evolutionary Computation. GECCO Companion Eléonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar
2023	J	`jnl`	Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization. J. Chem. Inf. Model. Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Jian Wei Cheng, Yee-Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar, Kedar Hippalgaonkar
2021	J	`jnl`	Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. CoRR 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
2021	J	`jnl`	Efficacious symmetry-adapted atomic displacement method for lattice dynamical studies. Comput. Phys. Commun. Chee Kwan Gan, Yun Liu, Tze Chien Sum, Kedar Hippalgaonkar
2021	J	`jnl`	Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models. Adv. Intell. Syst. Yee-Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar
2021	J	`jnl`	Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models. Adv. Intell. Syst. Yee-Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar
2020	J	`jnl`	Inverse design of crystals using generalized invertible crystallographic representation. CoRR 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
2018	J	`jnl`	Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
2018	J	`jnl`	Graph Convolutional Neural Networks for Polymers Property Prediction. CoRR Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
2018	J	`jnl`	Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR Léo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
2007	J	`jnl`	Room temperature observation of point defect on gold surface using thermovoltage mapping. Microelectron. Reliab. Arijit Roy, Cher Ming Tan, Sean J. O'Shea, Kedar Hippalgaonkar, Wulf Hofbauer