Results 221 to 230 of about 151,098 (306)

Multi-resolution field-based algorithm for autonomous robot exploration. [PDF]

Sci Rep
Zhai Z, Xu L, Zhang Y, Zhang G, Chen Y.
europepmc   +1 more source

Designing Strong, Tough, Fire‐Retardant and Self‐Healing Elastomers with Phosphorus/Nitrogen‐ and Biphenyl‐Containing Segments

Advanced Materials, EarlyView.
By designing a P/N‐ and π–π interacting biphenyl‐containing diol as hard segments but side groups, a strong, tough, fire‐extinguishing and self‐healing elastomer is developed, demonstrating a break strain of ∼2500%, a toughness of 379 MJ/m3 and a tensile strength of 46 MPa, as well as a healing efficiency of 95% (tensile strength) and 99% (break strain)
Yijiao Xue, Shu Gong, Zhezhe Zhou, Zhewen Ma, Yanlong Luo, Mark Lynch, Jiabing Feng, Yan Zhang, Meng Zhang, Yonghong Zhou, Wenlong Cheng, Pingan Song   +11 more
wiley   +1 more source

A fourth-order exponential time differencing scheme with real and distinct poles rational approximation for solving non-linear reaction-diffusion systems. [PDF]

J Comput Appl Math
Attipoe WK, Kleefeld A, Asante-Asamani EO.   +2 more
europepmc   +1 more source

Ultrathin Li Metal Anodes: Quantitative Design Principles and Manufacturability Across Liquid and Solid‐State Batteries

Advanced Materials, EarlyView.
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang, Caoyu Wang, Shuixin Xia, Jodie A. Yuwono, Mingnan Li, Yanqiu Lyu, Ruizhi Zhang, Jun Wang, Jianfeng Mao, Zaiping Guo   +9 more
wiley   +1 more source

Post-Processing Algorithm for Leg Electrical Impedance Imaging Integrating Boundary Attention Mechanism. [PDF]

Sensors (Basel)
Zhang L, Wang W.
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Query-Efficient Hard-Label Attack: A Prior-Guided Adam Ray Search Optimization. [PDF]

Sensors (Basel)
Ding T, Xu X, Xuan Q, Yu H, Ma C.
europepmc   +1 more source

Phase Diagrams Enable Solid‐State Battery Design

Advanced Materials Interfaces, EarlyView.
Batteries are non‐equilibrium devices with inherent thermodynamic driving forces to react at interfaces, regardless of kinetics or operating conditions. Chemical potential mismatches across interfaces are dissipated via interfacial reactions. In this work, it is illustrated how phase diagrams and chemical potential maps predict degradation pathways but
Nathaniel L. Skeele, Matthias T. Agne
wiley   +1 more source

SHARP: a hybrid metaheuristic approach for intelligent robotic path planning. [PDF]

Sci Rep
Fakhouri H, Alawadi S, Galozy A, Alkhabbas F, Ayyad M, Banihani I, Alkharabsheh K, Aladwan M.   +7 more
europepmc   +1 more source