Tuning Reinforcement Learning Parameters for Cluster Selection to Enhance Evolutionary Algorithms [0.03%]
调参改进的进化算法集群选择方法研究
Nathan Villavicencio,Michael N Groves
Nathan Villavicencio
The ability to find optimal molecular structures with desired properties is a popular challenge, with applications in areas such as drug discovery. Genetic algorithms are a common approach to global minima molecular searches due to their ab...
Effect of SO2 and SO3 Exposure to Cu-CHA on Surface Nitrate and N2O Formation for NH3-SCR [0.03%]
SO2和SO3存在条件下Cu-CHA表面硝酸盐对NH3-SCR反应的影响研究
Joonsoo Han,Joachim D Bjerregaard,Henrik Grönbeck et al.
Joonsoo Han et al.
We report effects of SO2 and SO3 exposure on ammonium nitrate (AN) and N2O formation in Cu-CHA used for NH3-SCR. First-principles calculations and several characterizations (ICP, BET, XRD, UV-vis-DRS) were applied to characterize the Cu-CHA...
Nozzle Innovations That Improve Capacity and Capabilities of Multimaterial Additive Manufacturing [0.03%]
提高多材料增材制造容量和能力的喷嘴创新技术
Patrick J McCauley,Alexandra V Bayles
Patrick J McCauley
Multimaterial additive manufacturing incorporates multiple species within a single 3D-printed object to enhance its material properties and functionality. This technology could play a key role in distributed manufacturing. However, conventi...
B Ruşen Argun,Antonia Statt
B Ruşen Argun
Polymer networks are widely used in applications, and the formation of a network and its gel point can be predicted. However, the effects of spatial and topological heterogeneity on the resulting network structure and ultimately the mechani...
Increasing Computational Efficiency of CFD Simulations of Reactive Flows at Catalyst Surfaces through Dynamic Load Balancing [0.03%]
基于动态负载平衡的催化表面上反应流CFD模拟计算效率提升方法研究
Daniele Micale,Mauro Bracconi,Matteo Maestri
Daniele Micale
We propose a numerical strategy based on dynamic load balancing (DLB) aimed at enhancing the computational efficiency of multiscale CFD simulation of reactive flows at catalyst surfaces. Our approach employs DLB combined with a hybrid paral...
Upscaling Plasma-Based CO2 Conversion: Case Study of a Multi-Reactor Gliding Arc Plasmatron [0.03%]
基于等离子体的CO2转化的放大研究——以多反应器滑动电弧等离子体装置为例
Colin O&#x;Modhrain,Georgi Trenchev,Yury Gorbanev et al.
Colin O&#x;Modhrain et al.
Atmospheric pressure plasmas have shifted in recent years from being a burgeoning research field in the academic setting to an actively investigated technology in the chemical, oil, and environmental industries. This is largely driven by th...
Modeling of Shear Flows over Superhydrophobic Surfaces: From Newtonian to Non-Newtonian Fluids [0.03%]
超疏水表面上剪切流的模型研究：从牛顿流体到非牛顿流体
Hossein Rahmani,Faïçal Larachi,Seyed Mohammad Taghavi
Hossein Rahmani
The design and use of superhydrophobic surfaces have gained special attentions due to their superior performances and advantages in many flow systems, e.g., in achieving specific goals including drag reduction and flow/droplet handling and ...
Emissions from Hydrogen Peroxide Disinfection and Their Interaction with Mask Surfaces [0.03%]
过氧化氢消毒及其与口罩表面相互作用所产生的排放物
Pearl Abue,Nirvan Bhattacharyya,Mengjia Tang et al.
Pearl Abue et al.
A rise in the disinfection of spaces occurred as a result of the COVID-19 pandemic as well as an increase in people wearing facial coverings. Hydrogen peroxide was among the recommended disinfectants for use against the virus. Previous stud...
Tailored Platinum Group Metal/Spinel Oxide Catalysts for Dynamically Enhanced Methane Oxidation [0.03%]
用于动态增强甲烷氧化的铂系金属/尖晶石氧化物催化剂
Pak Wing Chen,Debtanu Maiti,Ru-Fen Liu et al.
Pak Wing Chen et al.
A combined experimental and molecular modeling study identifies a family of spinel oxides that in combination with PGM (platinum group metals) provide enhanced methane oxidation activity. With a reduction in greenhouse gas (GHG) emissions u...
Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design [0.03%]
生成式检索增强本体论图和多智能体策略在基于解释型大型语言模型的材料设计中的应用
Markus J Buehler
Markus J Buehler
Transformer neural networks show promising capabilities, in particular for uses in materials analysis, design, and manufacturing, including their capacity to work effectively with human language, symbols, code, and numerical data. Here, we ...