Results 201 to 210 of about 191,843 (290)
A variational graph-partitioning approach to modeling protein liquid-liquid phase separation. [PDF]
Wang G, Warrell J, Zheng S, Gerstein M.
europepmc +1 more source
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Path optimization and near-greedy analysis for graph partitioning: an empirical study
Jonathan W. Berry, Mark Goldberg
openalex +2 more sources
General Partitioning on Random Graphs [PDF]
C. R. Subramanian, C. E. Veni Madhavan
openalex +1 more source
3D Concrete Printing of Triply Periodic Minimum Surfaces for Enhanced Carbon Capture and Storage
A 3D‐printable and carbon‐capturing concrete is developed by replacing cement with diatomaceous earth (DE), which enhances rheology, provides hierarchical porosity, and serves as a nucleation site for carbonation. Maximum absorption of 488.7 gCO2 kgcement−1 is achieved in 7 days, a 142% increase over conventional concrete, and the triply periodic ...
Kun‐Hao Yu +9 more
wiley +1 more source
A Subspace Semidefinite Programming for Spectral Graph Partitioning [PDF]
Suely Oliveira +2 more
openalex +1 more source
A coacervate charged polymer network is designed to regulate Coulomb interactions for stabilizing silicon anodes. By tuning electrostatic interactions, the binders enhance adhesion, stress dissipation, and interfacial stability. The binder with the strongest Coulomb interactions enables high areal capacities and stable full‐cell cycling with Ni‐rich ...
Dong‐Yeob Han +7 more
wiley +1 more source
Approximation Algorithms for Some Graph Partitioning Problems
G. He, J. Liu, Cheng Zhao
openalex +1 more source
An efficient graph partition method for fault section estimation in large-scale power network [PDF]
Tianshu Bi +3 more
openalex +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source

