Kedar Hippalgaonkar

Kedar Hippalgaonkar

Nanyang Technological University

H-index: 41

Asia-Singapore

About Kedar Hippalgaonkar

Kedar Hippalgaonkar, With an exceptional h-index of 41 and a recent h-index of 40 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Nanoscale Thermoelectrics, Materials Science, Condensed Matter Physics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Harnessing GPT-3.5 for text parsing in solid-state synthesis–case study of ternary chalcogenides

Constructing custom thermodynamics using deep learning

Machine learning based feature engineering for thermoelectric materials by design

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

Optimization of Liquid Handling Parameters for Viscous Liquid Transfers with Pipetting Robots, a “Sticky Situation”

Experimentally Validated Inverse design of Multi-Property Fe-Co-Ni alloys

Accelerated chemical science with AI

Solvent-Templated Methylammonium-Based Ruddlesden–Popper Perovskites with Short Interlayer Distances

Kedar Hippalgaonkar Information

University

Position

(MSE) A*STAR (IMRE)

Citations(all)

5503

Citations(since 2020)

4301

Cited By

2619

hIndex(all)

41

hIndex(since 2020)

40

i10Index(all)

67

i10Index(since 2020)

66

Email

University Profile Page

Nanyang Technological University

Google Scholar

View Google Scholar Profile

Kedar Hippalgaonkar Skills & Research Interests

Nanoscale Thermoelectrics

Materials Science

Condensed Matter Physics

Machine Learning

Top articles of Kedar Hippalgaonkar

Title

Journal

Author(s)

Publication Date

Harnessing GPT-3.5 for text parsing in solid-state synthesis–case study of ternary chalcogenides

Digital Discovery

Maung Thway

Andre Low

Samyak Khetan

Haiwen Dai

Jose Recatala-Gomez

...

2024

Constructing custom thermodynamics using deep learning

Nature Computational Science

Xiaoli Chen

Beatrice W Soh

Zi-En Ooi

Eleonore Vissol-Gaudin

Haijun Yu

...

2024/1

Machine learning based feature engineering for thermoelectric materials by design

Digital Discovery

US Vaitesswar

Daniil Bash

Tan Huang

Jose Recatala-Gomez

Tianqi Deng

...

2024

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

arXiv preprint arXiv:2308.04103

Ji Wei Yoon

Adithya Kumar

Pawan Kumar

Kedar Hippalgaonkar

J Senthilnath

...

2023/8/8

Optimization of Liquid Handling Parameters for Viscous Liquid Transfers with Pipetting Robots, a “Sticky Situation”

Pablo Quijano Velasco

Andre Low

Chang Jie Leong

Wan Ting Ng

Selina Qiu

...

2023/12/29

Experimentally Validated Inverse design of Multi-Property Fe-Co-Ni alloys

iScience

Shakti P Padhy

V Chaudhary

Yee-Fun Lim

Ruiming Zhu

Muang Thway

...

2024/4/10

Accelerated chemical science with AI

Seoin Back

Alán Aspuru-Guzik

Michele Ceriotti

Ganna Gryn'ova

Bartosz Grzybowski

...

2024

Solvent-Templated Methylammonium-Based Ruddlesden–Popper Perovskites with Short Interlayer Distances

Journal of the American Chemical Society

Ayan A Zhumekenov

Yongxin Li

Yifan Zhou

Natalia Yantara

Anil Kanwat

...

2024/2/29

pHbot: Self‐Driven Robot for pH Adjustment of Viscous Formulations via Physics‐informed‐ML

Chemistry-Methods

A. Chitre

J. Cheng

S. Ahamed

R. C. M. Querimit

B. Zhu

...

2023/12

Closed‐Loop Multi‐Objective Optimization for Cu–Sb–S Photo‐Electrocatalytic Materials’ Discovery

Advanced Materials

Yang Bai

Zi Hui Jonathan Khoo

Riko I Made

Huiqing Xie

Carina Yi Jing Lim

...

2024/1

Diagnosis of doped conjugated polymer films using hyperspectral imaging

Digital Discovery

Vijila Chellappan

Adithya Kumar

Pawan Kumar

Kedar Hippalgaonkar

2023

Author Correction: Surface charge as activity descriptors for electrochemical CO2 reduction to multi-carbon products on organic-functionalised Cu

nature communications

Carina Yi Jing Lim

Meltem Yilmaz

Juan Manuel Arce-Ramos

Albertus D Handoko

Wei Jie Teh

...

2023

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

Kedar Hippalgaonkar

Qianxiao Li

Xiaonan Wang

John W Fisher III

James Kirkpatrick

...

2023/4

Optimising Ferroelectric Thin Films with Evolutionary Computation

Eléonore Vissol-Gaudin

Yee-Fun Lim

Kedar Hippalgaonkar

2023/7/15

Automated pipetting robot for proxy high-throughput viscometry of Newtonian fluids

Digital Discovery

Beatrice W Soh

Aniket Chitre

Wen Yang Lee

Daniil Bash

Jatin N Kumar

...

2023

Enhancing semiconductor device characterization with deep learning-based keypoint detection

Kedar Hippalgaonkar

2023

Linking Polaron Signatures to Charge Transport in Doped Thiophene Polymers

ACS Applied Energy Materials

Anas Abutaha

Vijila Chellappan

Pawan Kumar

Kedar Hippalgaonkar

2023/3/27

Reply to: Mobility overestimation in MoS2 transistors due to invasive voltage probes

arXiv preprint arXiv:2307.07787

Hong Kuan Ng

Du Xiang

Ady Suwardi

Guangwei Hu

Ke Yang

...

2023/7/15

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

K Hippalgaonkar

A Low

F Mekki-Berrada

A Gupta

A Ostudin

...

2023/12/1

Differentiating between perovskite and double perovskite nanocrystals

Pritish Mishra

Mengyuan Zhang

Yeng Ming Lam

Kedar Hippalgaonkar

2023

See List of Professors in Kedar Hippalgaonkar University(Nanyang Technological University)

Co-Authors

H-index: 211
Peidong Yang

Peidong Yang

University of California, Berkeley

H-index: 124
A Majumdar

A Majumdar

Stanford University

H-index: 119
Qingyu Yan

Qingyu Yan

Nanyang Technological University

H-index: 92
Junqiao Wu

Junqiao Wu

University of California, Berkeley

H-index: 76
Joel E. MOORE

Joel E. MOORE

University of California, Berkeley

H-index: 74
Sefaattin (Seth Ariel) Tongay

Sefaattin (Seth Ariel) Tongay

Arizona State University

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