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Kedar Hippalgaonkar

National University of Singapore · SG
Area of research
Materials Chemistry · Electrical and Electronic Engineering
Research interest
Research interests include Materials science, Computer science, Thermoelectric effect, Bayesian optimization, Condensed matter physics, and Machine learning.
h-index
citations
3,056
works
28
NIH funding
primary concept
email

Recent publications

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
npj Computational Materials 2024cited by 59position: lastdoi
Machine learning based feature engineering for thermoelectric materials by design
Digital Discovery 2024cited by 31position: lastdoi
Generative Design and Experimental Validation of Non-Fullerene Acceptors for Photovoltaics
ACS Energy Letters 2024cited by 6position: lastdoi
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Nature Reviews Materials 2023cited by 131position: firstdoi
Surface charge as activity descriptors for electrochemical CO2 reduction to multi-carbon products on organic-functionalised Cu
Nature Communications 2023cited by 129position: middledoi
Predicting Synthesizability using Machine Learning on Databases of Existing Inorganic Materials
ACS Omega 2023cited by 29position: lastdoi
Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization
Journal of Chemical Information and Modeling 2023cited by 17position: lastdoi
Constructing custom thermodynamics using deep learning
Nature Computational Science 2023cited by 17position: middledoi
Improving carrier mobility in two-dimensional semiconductors with rippled materials
Nature Electronics 2022cited by 209position: middledoi
Two-step machine learning enables optimized nanoparticle synthesis
npj Computational Materials 2021cited by 230position: middledoi
Metastable 1T′-phase group VIB transition metal dichalcogenide crystals
Nature Materials 2021cited by 221position: middledoi
Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains
npj Computational Materials 2021cited by 195position: middledoi
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Matter 2021cited by 172position: middledoi
High Thermoelectric Performance through Crystal Symmetry Enhancement in Triply Doped Diamondoid Compound Cu<sub>2</sub>SnSe<sub>3</sub>
Advanced Energy Materials 2021cited by 64position: middledoi
Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites
Advanced Functional Materials 2021cited by 51position: lastdoi
Thermal Conductive 2D Boron Nitride for High‐Performance All‐Solid‐State Lithium–Sulfur Batteries
Advanced Science 2020cited by 100position: middledoi
Low‐Symmetry PdSe<sub>2</sub> for High Performance Thermoelectric Applications
Advanced Functional Materials 2020cited by 83position: middledoi
Dual-mode solid-state thermal rectification
Nature Communications 2020cited by 80position: middledoi
Large enhancement of thermoelectric performance in MoS <sub>2</sub> / <i>h</i> -BN heterostructure due to vacancy-induced band hybridization
Proceedings of the National Academy of Sciences 2020cited by 71position: lastdoi
High-contrast and reversible polymer thermal regulator by structural phase transition
Science Advances 2019cited by 75position: middledoi
Inertial effective mass as an effective descriptor for thermoelectrics <i>via</i> data-driven evaluation
Journal of Materials Chemistry A 2019cited by 69position: lastdoi
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
Joule 2018cited by 336position: middledoi
Full‐Parameter Omnidirectional Thermal Metadevices of Anisotropic Geometry
Advanced Materials 2018cited by 121position: middledoi
2D Black Phosphorus for Energy Storage and Thermoelectric Applications
Small 2017cited by 179position: middledoi
Thermal Conductance of the 2D MoS2/h-BN and graphene/h-BN Interfaces
Scientific Reports 2017cited by 122position: lastdoi
Enhanced Thermoelectric Performance of PEDOT:PSS Films by Sequential Post‐Treatment with Formamide
Macromolecular Materials and Engineering 2017cited by 83position: middledoi
Ultralow Thermal Conductivity of Single‐Crystalline Porous Silicon Nanowires
Advanced Functional Materials 2017cited by 75position: lastdoi
Second-Harmonic Generation from Sub-5 nm Gaps by Directed Self-Assembly of Nanoparticles onto Template-Stripped Gold Substrates
Nano Letters 2015cited by 101position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Tonio Buonassisi · Massachusetts Institute of Technology7 papers (2018–2023)Qianxiao Li · National University of Singapore6 papers (2021–2024)Saif A. Khan · National University of Singapore6 papers (2021–2024)Jing Wu · National University of Singapore5 papers (2017–2022)Zekun Ren · National University of Singapore5 papers (2021–2023)Daniil Bash · National University of Singapore5 papers (2019–2024)Yunshan Zhao · National University of Singapore5 papers (2017–2022)Jianwei Xu · National University of Singapore4 papers (2017–2021)Flore Mekki‐Berrada · National University of Singapore4 papers (2021–2024)John T. L. Thong · National University of Singapore4 papers (2017–2020)Siyu Tian · East China University of Science and Technology4 papers (2021–2023) · 4 papers (2017–2022)Xiaonan Wang · Central South University4 papers (2021–2024)Yee‐Fun Lim · Ithaca College4 papers (2021–2024)Hong Kuan Ng · Agency for Science, Technology and Research3 papers (2019–2022)Vijila Chellappan · National University of Singapore3 papers (2021–2024)Cheng‐Wei Qiu · National University of Singapore3 papers (2017–2022)Gang Zhang · Chongqing University of Posts and Telecommunications3 papers (2017–2020)Jiaxun Xie · National University of Singapore3 papers (2021–2024)Ady Suwardi · National University of Singapore3 papers (2019–2022)