Kedar Hippalgaonkar

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Top Venues

Adv. Intell. Syst.

Comput. Phys. Commun.

J. Chem. Inf. Model.

Publications

Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers. Knowl. Based Syst. 295 (2024)
Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li
Constructing custom thermodynamics using deep learning. Nat. Comput. Sci. 4 (1) (2024)
Maung Thway, Jose Recatala-Gomez, Fun Siong Lim, Kedar Hippalgaonkar, Leonard W. T. Ng
Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning. CoRR (2024)
Eléonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar
Optimising Ferroelectric Thin Films with Evolutionary Computation. GECCO Companion (2023)
Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Jian Wei Cheng, Yee-Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar, Kedar Hippalgaonkar
Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization. J. Chem. Inf. Model. 63 (15) (2023)
Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan
Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers. CoRR (2023)
Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li
Constructing Custom Thermodynamics Using Deep Learning. CoRR (2023)
Yee-Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar
Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models. Adv. Intell. Syst. 3 (11) (2021)
Chee Kwan Gan, Yun Liu, Tze Chien Sum, Kedar Hippalgaonkar
Efficacious symmetry-adapted atomic displacement method for lattice dynamical studies. Comput. Phys. Commun. 259 (2021)
Yee-Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar
Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models. Adv. Intell. Syst. 3 (11) (2021)
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
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. CoRR (2021)
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
Inverse design of crystals using generalized invertible crystallographic representation. CoRR (2020)
Leo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR (2018)
Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR (2018)
Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
Graph Convolutional Neural Networks for Polymers Property Prediction. CoRR (2018)
Arijit Roy, Cher Ming Tan, Sean J. O'Shea, Kedar Hippalgaonkar, Wulf Hofbauer
Room temperature observation of point defect on gold surface using thermovoltage mapping. Microelectron. Reliab. 47 (9-11) (2007)