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Organic Chemistry

Review

Emerging Trends in Multi-Objective Optimization of Organic Synthesis Leveraging High-throughput Tools and Machine Learning Methods

Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam

Version 1 posted 04 July 2024

336

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1

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Chemical Engineering and Industrial Chemistry

Working Paper

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

Aniket Chitre, Jayce Cheng, Sarfaraz Ahmed, Robert Querimit, Kedar Hippalgaonkar, Alexei Lapkin

Version 1 posted 18 August 2023

247

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1

Citations

Polymer Science

Working Paper

Multi-Objective Synthesis Optimization and Kinetics of a Sustainable Terpolymer

Jin Da Tan, Andre KY Low, Shannon RY Thoi, Sze Yu Tan, Wenguang Zhao, Yee-Fun Lim, Qianxiao Li, Saif A Khan, Balamurugan Ramalingam, Kedar Hippalgaonkar

Version 1 posted 02 July 2024

229

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1

Citations

Materials Science

Working Paper

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

Andre KY Low, Flore Mekki-Berrada, Aleksandr Ostudin, Jiaxun Xie, Eleonore Vissol-Gaudin, Yee-Fun Lim, Abhishek Gupta, Qianxiao Li, Yew Soon Ong, Saif A Khan, Kedar Hippalgaonkar

Version 1 posted 31 August 2023

604

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Theoretical and Computational Chemistry

Working Paper

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, Xiaonan Wang

Version 1 posted 21 July 2020

806

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1

Citations

Materials Science

Working Paper

An Object-Oriented Framework to Enable Workflow Evolution across Materials Acceleration Platforms

Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, Pablo Quijano Velasco, Eleonore Vissol-Gaudin, Jin Da Tan, Balamurugan Ramalingam, Riko I Made, Shreyas Dinesh Pethe, Saumya Sebastian, Yee-Fun Lim, Zi Hui Jonathan Khoo, Yang Bai, Jayce Jian Wei Cheng, Kedar Hippalgaonkar

Version 2 posted 17 August 2022

344

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Materials Science

Working Paper

Machine Learning and High-Throughput Robust Design of P3HT-CNT Composite Thin Films for High Electrical Conductivity

Daniil Bash, Yongqiang Cai, Chellappan Vijila, Swee Liang Wong, Yang Xu, Pawan Kumar, Jin Da Tan, Anas Abutaha, Jayce Jian Wei Cheng, Yee Fun Lim, Isaac Parker Siyu Tian, Zekun Ren, Wai Kuan Wong, Flore Mekki-Berrada, Jatin Nitin Kumar, Saif Khan, Qianxiao Li, Tonio Buonassisi, Kedar Hippalgaonkar

Version 1 posted 23 November 2020

377

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Materials Science

Working Paper

Machine Learning Predicts Conversion and Molecular Weight Distributions in Computer Controlled Polymerization

Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Cheng, Yee-Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar, Kedar Hippalgaonkar

Version 1 posted 14 July 2022

1,236

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5

Citations

Materials Science

Working Paper

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, Shivam Jhunjhunwala, Bryant Li, Anne Qian, Kedar Hippalgaonkar, Jayce Cheng

Version 1 posted 29 December 2023

262

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Inorganic Chemistry

Working Paper

CrySPR: A Python interface for implementation of crystal structure pre-relaxation and prediction using machine-learning interatomic potentials

Wei Nong, Ruiming Zhu, Kedar Hippalgaonkar

Version 1 posted 08 August 2024

269

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10 results in Kedar Hippalgaonkar in Authors: Kedar Hippalgaonkar

Emerging Trends in Multi-Objective Optimization of Organic Synthesis Leveraging High-throughput Tools and Machine Learning Methods

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

Multi-Objective Synthesis Optimization and Kinetics of a Sustainable Terpolymer

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

Two-Step Machine Learning Enables Optimized Nanoparticle Synthesis

An Object-Oriented Framework to Enable Workflow Evolution across Materials Acceleration Platforms

Machine Learning and High-Throughput Robust Design of P3HT-CNT Composite Thin Films for High Electrical Conductivity

Machine Learning Predicts Conversion and Molecular Weight Distributions in Computer Controlled Polymerization

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

CrySPR: A Python interface for implementation of crystal structure pre-relaxation and prediction using machine-learning interatomic potentials

10 results in Authors: Kedar Hippalgaonkar