Results 231 to 240 of about 142,166 (292)

Coulomb force-guided deep reinforcement learning for effective and explainable robotic motion planning. [PDF]

Front Robot AI
Song S, Bihl T, Liu J.
europepmc   +1 more source

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao, Qianyi Zhang, Xiangkang Kong, Zhaoxiang Wang, Xue‐Ping Gao, Paul R. Shearing   +5 more
wiley   +1 more source

Safe Cooperative Decision-Making for Multi-UAV Pursuit-Evasion Games via Opponent Intent Inference. [PDF]

Sensors (Basel)
Li W, Feng Y, Zhang W.
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

A distributed differential game approach to trajectory planning for offshore wind farm inspection. [PDF]

PLoS One
Liao Y, You S, Wang H, Yu S, Xue W.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Predefined-time tracking control for underwater robots. [PDF]

Sci Rep
Keymasi-Khalaji A, Tajpour-Fard S.
europepmc   +1 more source

Molecular Design and Interfacial Functions of Self‐Assembled Monolayers for Perovskite and Tandem Solar Cells

Advanced Energy Materials, EarlyView.
We identify two decisive levers for SAM interfaces: molecular design (carboxylic acid‐based, phosphonic acid, other anchoring chemistries, and polymeric SAMs) and mixing routes (co‐assembly, in situ assembly, pre‐ and post‐treatment). Coordinated tuning of headgroups and assembly pathways optimises energy alignment and film formation, suppresses ...
Jiaxu Zhang, Bochun Kang, Feng Yan
wiley   +1 more source

Autonomous robots with socially-aware navigation using memory-assisted deep reinforcement learning. [PDF]

Sci Rep
Montero E, Pico N, Alvarez-Alvarado MS, Ayón JME, Wang P.   +4 more
europepmc   +1 more source

Energy-efficient path planning for Robotic Bulkhead Inspection using Residual-Enhanced UKF and Hierarchical MPC. [PDF]

PLoS One
Wang J, Li L, Gao R, Yang L.
europepmc   +1 more source