Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Data‐Driven Discovery of Organic Electronic Materials Enabled by Hybrid Top‐Down/Bottom‐Up Design
JT Blaskovits, R Laplaza, S Vela… - Advanced …, 2024 - Wiley Online Library
The high‐throughput exploration and screening of molecules for organic electronics
involves either a 'top‐down'curation and mining of existing repositories, or a 'bottom …
involves either a 'top‐down'curation and mining of existing repositories, or a 'bottom …
Electrochemical Performance of Mixed Redox-Active Organic Molecules in Redox Flow Batteries
Designing electrolytes based on mixture of different organic redox active molecules brings
the opportunity of enhancing the volumetric energy density of flow batteries and removes the …
the opportunity of enhancing the volumetric energy density of flow batteries and removes the …
Error Analysis of Fitted Q-iteration with ReLU-activated Deep Neural Networks
L Kang, H Yuan, C Zhu - 2023 - openreview.net
Deep reinforcement learning (RL) has grown rapidly with the development of backbone
feedforward neural networks (FNNs). However, there remains a theoretical gap when …
feedforward neural networks (FNNs). However, there remains a theoretical gap when …