Welcome to Digital Discovery!
We are delighted to welcome Dr Kedar Hippalgaonkar, Nanyang Technological University and A*STAR, Singapore as a new member of the Editorial Board of Digital Discovery.
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“Digital Research means the development of data-driven platforms, both theoretical and experimental, that can augment scientific pursuit and allow for open-ended materials discovery.
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Assistant Professor Kedar Hippalgaonkar is a joint appointee with the Materials Science and Engineering Department at Nanyang Technological University (NTU) and a Senior Scientist at the Institute of Materials Research and Engineering (IMRE) at the Agency for Science Technology and Research (A*STAR) in Singapore. He is a 2020 NRF Fellow and MOE Inauguration Grant Awardee and has received the Materials Horizons (2021) and JMC A (2019) Emerging Investigatorships. He is leading the multi-PI Accelerated Materials Development for Manufacturing (AMDM) program focusing on the development of new materials, processes and optimization using Machine Learning, AI and high-throughput computations and experiments in electronic, thermoelectric, polymeric and structural materials. He led the Pharos Program on Hybrid (inorganic-organic) thermoelectrics for ambient applications from 2016-2020.
Dr Hippalgaonkar is using machine learning and data science for materials discovery. His approach to materials-by-design is built on creating and utilizing materials data by high-performance computing and high-throughput experiments to synthesize and characterize materials for optical and electronic properties. He is keen on developing tools such as process optimization, design of experiments and materials, and process fingerprinting from materials development to device applications. His research interests lie in designing functional materials, especially for energy applications. He has fundamental knowledge in solid state physics, 1D (nanowires) and 2D (TMDCs), as well as inorganic-organic (hybrid) materials. His background is in transport properties of materials, specifically in understanding their thermal, optical and thermoelectric properties.
Read some of Kedar’s recent papers below.
Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites
Daniil Bash, Yongqiang Cai, Vijila Chellappan, Swee Liang Wong, Xu Yang, Pawan Kumar, Jin Da Tan, Anas Abutaha, Jayce JW Cheng, Yee‐Fun Lim, Siyu Isaac Parker Tian, Zekun Ren, Flore Mekki‐Berrada, Wai Kuan Wong, Jiaxun Xie, Jatin Kumar, Saif A Khan, Qianxiao Li, Tonio Buonassisi and Kedar Hippalgaonkar
Adv. Func. Materials, 2021, 31, 36, 2102606
Electronic transport descriptors for the rapid screening of thermoelectric materials
Tianqi Deng, Jose Recatala-Gomez, Masato Ohnishi, D. V. Maheswar Repaka, Pawan Kumar, Ady Suwardi, Anas Abutaha, Iris Nandhakumar, Kanishka Biswas, Michael B. Sullivan, Gang Wu, Shiomi, Shuo-Wang Yang and Kedar Hippalgaonkar
Mater. Horiz.., 2021, 8, 2463–2474
Two-step machine learning enables optimized nanoparticle synthesis
Flore Mekki-Berrada, Zekun Ren, Tan Huang, Wai Kuan Wong, Fang Zheng, Jiaxun Xie, Isaac Parker Siyu Tian, Senthilnath Jayavelu, Zackaria Mahfoud, Daniil Bash, Kedar Hippalgaonkar, Saif Khan, Tonio Buonassisi, Qianxiao Li and Xiaonan Wang
npj Comput. Mater., 2021, 7, 55
Inertial effective mass as an effective descriptor for thermoelectrics via data-driven evaluation
Ady Suwardi, Daniil Bash, Hong Kuan Ng, Jose Recatala Gomez, D. V. Maheswar Repaka, Pawan Kumara and Kedar Hippalgaonkar
J. Mater. Chem. A, 2019, 7, 23762–23769
Please join us in welcoming Dr Hippalgaonkar to Digital Discovery.