Results 141 to 150 of about 137,924 (252)

Nanozymes for Energy and Environmental Sustainability

Advanced Science, EarlyView.
At present, the widely used nanozymes are oxidoreductase and hydrolase, which have proved to have great application prospects in energy and environment. ABSTRACT Nanozymes have shown remarkable promise in addressing pressing challenges in energy and environmental sustainability.
Xiaoqi Li, Jinxing Chen, Shaojun Dong
wiley   +1 more source

Toward Energy-Efficient Routing of Multiple AGVs with Multi-Agent Reinforcement Learning. [PDF]

Sensors (Basel), 2023
Ye X, Deng Z, Shi Y, Shen W.
europepmc   +1 more source

Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling

Advanced Science, EarlyView.
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang, Linqiong Qiu, Hongyu Wang, Wenting Tang, Jiayang Leng, John Z. H. Zhang, Piero Procacci, Zhaoxi Sun   +7 more
wiley   +1 more source

Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles. [PDF]

Sensors (Basel), 2023
Mushtaq A, Haq IU, Sarwar MA, Khan A, Khalil W, Mughal MA.   +5 more
europepmc   +1 more source

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

Advanced Science, EarlyView.
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari, James L. Grace, Jiajia Li, Joji Tanaka, Glen R. Jones, Athina Anastasaki, Wei You, Jian Zhu, Masami Kamigaito, Cyrille Boyer, Greg G. Qiao   +10 more
wiley   +1 more source

Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning. [PDF]

Commun Eng
Suárez P, Alcántara-Ávila F, Rabault J, Miró A, Font B, Lehmkuhl O, Vinuesa R.   +6 more
europepmc   +2 more sources

Blockchain-enhanced incentive-compatible mechanisms for multi-agent reinforcement learning systems. [PDF]

Sci Rep
Tian K.
europepmc   +1 more source

A review of the applications of multi-agent reinforcement learning in smart factories. [PDF]

Front Robot AI, 2022
Bahrpeyma F, Reichelt D.
europepmc   +1 more source

Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption

Advanced Science, EarlyView.
Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang, Wanchong Li, Lu Feng, Zaiqing Yang, Shicheng Jin, Dongxu Zhao, Xiaoyong Wu, Yan Wang, Yu Mao, Jinsong Zhang   +9 more
wiley   +1 more source

A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games. [PDF]

Nat Commun
Su Q, Wang H, Xia Y, Wang L.
europepmc   +1 more source