Results 201 to 210 of about 5,945 (347)
Nanomaterial Integration at Liquid–Liquid Interfaces for Green Catalysis
Functional nanomaterials assembled at liquid–liquid interfaces create dual‐role platforms serving as emulsion stabilizers and catalytic sites, offering enhanced reaction kinetics with improved catalyst recovery and recyclability. This review examines design strategies, structure‐performance relationships, and industrial implementation prospects of ...
Bokgi Seo +6 more
wiley +1 more source
Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem. [PDF]
Chen J, Zhao H, Cui Z, Ma T.
europepmc +1 more source
Double‐Transition‐Metal MXenes: Multimetallic 2D Platforms for Next‐Generation Biomedicine
The present work explores recent progress in double‐transition‐metal MXenes and focuses on their potential as multifunctional biomedical nanoplatforms whose tunable optical, electronic, mechanical, and surface properties enable imaging, theranostics, antimicrobial activity, biosensing, tissue engineering, and drug delivery.
Parsa Namakiaraghi +2 more
wiley +1 more source
Solving Flexible Job-Shop Scheduling Problems Based on Quantum Computing. [PDF]
Fu K, Liu J, Chen M, Zhang H.
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
A genetic algorithm with shuffle for job shop scheduling problems
Job shop scheduling problems are computationally complex combinatorial optimization problems. Genetic algorithms have been used in various forms and in combination with other algorithms to solve job shop scheduling problems. A partially flexible job shop
Danielsson, Fredrik, +2 more
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