Results 191 to 200 of about 82,206 (311)
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
A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems. [PDF]
Khurshid B+4 more
europepmc +1 more source
Post‐surgical tumor therapy struggles with recurrence and inefficient healing. Anti‐tumor DNA aptamer functionalized gelatin hydrogels, Apt‐GelMA, simultaneously address both issues by suppressing tumor regrowth via targeted tumor cell inhibition and enhancing wound healing through improved cell adhesion and migration. Their biocompatibility, stability,
Tianyue Li+11 more
wiley +1 more source
Production scheduling with multi-robot task allocation in a real industry 4.0 setting. [PDF]
Shakeri Z+4 more
europepmc +1 more source
A NOVEL PARTICLE SWARM OPTIMIZATION APPROACH FOR MULTIOBJECTIVE FLEXIBLE JOB SHOP SCHEDULING PROBLEM
Souad Mekni+2 more
openalex +1 more source
A Ni‐doped PBSCN20 air electrode is proposed as a promising air electrode material for reversible protonic ceramic cells. An isovalent doping significantly facilitates oxygen vacancy formation and proton uptake while simultaneously reducing the energy barrier for proton migration.
Jiwon Yun+7 more
wiley +1 more source
Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning. [PDF]
Ren F, Liu H.
europepmc +1 more source
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue+24 more
wiley +1 more source
Scheduling optimization of ship plane block flow line considering dual resource constraints. [PDF]
Li J+5 more
europepmc +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque+5 more
wiley +1 more source