| Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains Q Liang, AE Gongora, Z Ren, A Tiihonen, Z Liu, S Sun, JR Deneault, ... npj Computational Materials 7 (1), 188, 2021 | 137* | 2021 |
| Two-step machine learning enables optimized nanoparticle synthesis F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ... npj Computational Materials 7 (1), 55, 2021 | 136 | 2021 |
| Inertial effective mass as an effective descriptor for thermoelectrics via data-driven evaluation A Suwardi, D Bash, HK Ng, JR Gomez, DVM Repaka, P Kumar, ... Journal of Materials Chemistry A 7 (41), 23762-23769, 2019 | 63 | 2019 |
| Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites D Bash, Y Cai, V Chellappan, SL Wong, X Yang, P Kumar, JD Tan, ... Advanced Functional Materials 31 (36), 2102606, 2021 | 47* | 2021 |
| Predicting thermoelectric properties from crystal graphs and material descriptors-first application for functional materials L Laugier, D Bash, J Recatala, HK Ng, S Ramasamy, CS Foo, ... arXiv preprint arXiv:1811.06219, 2018 | 18 | 2018 |
| Accelerated automated screening of viscous graphene suspensions with various surfactants for optimal electrical conductivity D Bash, FH Chenardy, Z Ren, JJW Cheng, T Buonassisi, R Oliveira, ... Digital Discovery, 2022 | 15 | 2022 |
| Synthesis of Bi‐and Polyfunctional Isoxazoles from Amino Acid Derived Halogenoximes and Active Methylene Nitriles BA Chalyk, KV Hrebeniuk, KS Gavrilenko, OV Shablykin, OO Yanshyna, ... European Journal of Organic Chemistry 2018 (22), 2753-2761, 2018 | 15 | 2018 |
| Automated pipetting robot for proxy high-throughput viscometry of Newtonian fluids BW Soh, A Chitre, WY Lee, D Bash, JN Kumar, K Hippalgaonkar Digital Discovery 2 (2), 481-488, 2023 | 7 | 2023 |
| Machine learning based feature engineering for thermoelectric materials by design US Vaitesswar, D Bash, T Huang, J Recatala-Gomez, T Deng, SW Yang, ... Digital Discovery 3 (1), 210-220, 2024 | 6 | 2024 |
| Two-Step Machine Learning Enables Optimized Nanoparticle Synthesis. ChemRxiv F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ... Preprint, 2020 | 6 | 2020 |
| Mass Balance Integration with the Opentrons OT-2 Robot A Chitre, D Bash, J Cheng, AA Lapkin, K Hippalgaonkar Opentrons App. Notes, 2023 | 2 | 2023 |
| Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films SIP Tian, Z Ren, S Venkataraj, Y Cheng, D Bash, F Oviedo, J Senthilnath, ... Digital Discovery 2 (5), 1334-1346, 2023 | 2 | 2023 |
| Extracting film thickness and optical constants from spectrophotometric data by evolutionary optimization R Dutta, SIP Tian, Z Liu, M Lakshminarayanan, S Venkataraj, Y Cheng, ... Plos one 17 (11), e0276555, 2022 | 2 | 2022 |
| Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. S TIAN, Z Ren, S Venkataraj, Y Cheng, D Bash, F Oviedo, J Senthilnath, ... ArXiv 2207, 02209, 2022 | 2 | 2022 |
| Flow reactor system and flow reaction method YF Lim, Y Xu, JWJ Cheng, SL Wong, V Chellappan, J Kumar, B Daniil, ... US Patent App. 18/576,009, 2024 | | 2024 |
| Data collection apparatus and computer-implemented data collection method using same JWJ Cheng, P Kumar, A Abutaha, B Daniil, T Buonassisi, ... US Patent App. 18/569,997, 2024 | | 2024 |
| Correction: Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films SIP Tian, Z Ren, S Venkataraj, Y Cheng, D Bash, F Oviedo, J Senthilnath, ... Digital Discovery 3 (5), 1068-1068, 2024 | | 2024 |
| OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS D BASH | | 2022 |
Kedar HippalgaonkarNanyang Technological University (MSE), A*STAR (IMRE)Verified email at ntu.edu.sg
