Kedar Hippalgaonkar

According to our database, Kedar Hippalgaonkar authored at least 12 papers between 2007 and 2024.

Collaborative distances:

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

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

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