Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling A Dave, J Mitchell, S Burke, H Lin, J Whitacre, V Viswanathan Nature communications 13 (1), 5454, 2022 | 84 | 2022 |
AutoMat: Automated materials discovery for electrochemical systems E Annevelink, R Kurchin, E Muckley, L Kavalsky, VI Hegde, V Sulzer, ... MRS Bulletin 47 (10), 1036-1044, 2022 | 13 | 2022 |
AutoMat: Accelerated Computational Electrochemical systems Discovery E Annevelink, R Kurchin, E Muckley, L Kavalsky, VI Hegde, V Sulzer, ... arXiv preprint arXiv:2011.04426, 2020 | 3 | 2020 |
Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guan, K Gering, ... Nature Communications 15 (1), 8649, 2024 | | 2024 |
Design and Optimization of Non-Aqueous Electrolytes for Anode-Free Li Metal Cells Via Donor Number and Robotic Experimentation H Lin, R Gauthier, A Dave, J Whitacre, V Viswanathan 244th ECS Meeting (October 8-12, 2023), 2023 | | 2023 |
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guan, K Gering, ... arXiv preprint arXiv:2310.03047, 2023 | | 2023 |