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The advent of simulation engines has revolutionized learning and operational efficiency for robots, offering cost-effective and swift pipelines.
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Dependence of refractive index on concentration and temperature in electrolyte solution, polar solution, nonpolar solution, and protein solution
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Zhenpeng Zhou, Xiaocheng Li, and Richard N Zare · 2017
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A Unity3D-based interactive three-dimensional virtual practice platform for chemical engineering
Shu-Guang Ouyang, Gang Wang, Jun-Yan Yao, Guang-Heng-Wei Zhu, Zhao-Yue Liu, and Chi Feng · 2017
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Color Image Processing
D. Sundararajan · 2017
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Mapping the space of chemical reactions using attention-based neural networks
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ChemOS: An orchestration software to democratize autonomous discovery
Loïc M. Roch, Florian Häse, and Alán Aspuru-Guzik · 2020
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Autonomous reinforcement learning agent for chemical vapor deposition synthesis of quantum materials
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Deep reinforcement learning of transition states
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Activities of Electrolytes
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John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Pyscf: the python-based simulations of chemistry framework
Qiming Sun, Timothy C Berkelbach, Nick S Blunt, George H Booth, Sheng Guo, Zhendong Li, Junzi Liu, James D McClain, Elvira R Sayfutyarova, Sandeep Sharma, et al · 2018
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Controlling an organic synthesis robot with machine learning to search for new reactivity
Jarosław M Granda, Liva Donina, Vincenza Dragone, De-Liang Long, and Leroy Cronin · 2018
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Computational prediction of chemical reactions: current status and outlook
Ola Engkvist, Per-Ola Norrby, Nidhal Selmi, Yu-hong Lam, Zhengwei Peng, Edward C Sherer, Willi Amberg, Thomas Erhard, and Lynette A Smyth · 2018
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