Results 111 to 120 of about 21,778 (301)
A new exact penalty method for semi-infinite programming problems [PDF]
In this paper, we consider a class of nonlinear semi-infinite optimization problems. These problems involve continuous inequality constraints that need to be satisfied at every point in an infinite index set, as well as conventional equality and ...
Loxton, Ryan +4 more
core +1 more source
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He +3 more
wiley +1 more source
THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
The article considers the use of three multi-agent methods for optimizing structural elements of aircraft. The research describes strategies for finding solutions to multi-agent metaheuristic algorithms, such as: fish school search, krill herd, and ...
A. V. Panteleev, M. S. Karane
doaj +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
An exact penalty-function approach to proactive fault-tolerant economic MPC [PDF]
This paper presents a fault-tolerant economic model predictive control scheme for proactive handling of incipient actuator faults. The scheme applies an L1 exact penalty function with a set of switching rules in order to steer the system by a minimum ...
Knudsen, Brage Rugstad +2 more
core
Exact Penalty Function Based Constraint Relaxation Method for Optimal Power Flow Considering Wind Generation Uncertainty [PDF]
-This letter presents a constraint relaxation optimal power flow (OPF) model to tackle the issues when traditional OPF is infeasible under large variations such as wind generation output. In this model, the original hard constraints are relaxed into soft
Senior Member, IEEE Rui Bo +4 more
core
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 +5 more
wiley +1 more source
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 +11 more
wiley +1 more source
A titania‐supported Co1/Ru single‐atom alloy catalyst enables efficient polypropylene hydrogenolysis. Ru─Co─Ru motifs maintain Ru activity while suppressing excessive chain scission to gaseous products. Both virgin and waste plastics achieve high, environmentally and economically optimal C11+ liquid yields, supporting sustainable chemical recycling ...
Yuzhen Ge +6 more
wiley +1 more source
This work presents soft, degradable hydrogel microcarriers that combine magnetic responsiveness with the ability to host multiple therapeutic and cellular components. Produced by droplet microfluidics, the carriers maintain structural integrity during manipulation, permit controlled breakdown under physiological conditions, and enable guided motion for
Xuan Peng +18 more
wiley +1 more source

