Self-assembly with colloidal clusters: facile crystal design using connectivity landscape analysis

Soft Matter ◽  
2017 ◽  
Vol 13 (39) ◽  
pp. 7098-7105 ◽  
Author(s):  
Mehdi B. Zanjani ◽  
John C. Crocker ◽  
Talid Sinno
Keyword(s):  
Self Assembly ◽  
Landscape Analysis ◽  
Efficient Design ◽  
Geometrical Analysis ◽  
Design And Optimization ◽  
Colloidal Clusters ◽  
Crystal Design

Geometrical analysis of connectivity enables efficient design and optimization of colloidal cluster assemblies.

Efficient design and optimization of MEMS by integrating commercial simulation tools

1998 ◽  
Vol 66 (1-3) ◽  
pp. 15-20 ◽  
Author(s):  
Oliver Nagler ◽  
Michael Trost ◽  
Bernd Hillerich ◽  
Frank Kozlowski
Keyword(s):  
Efficient Design ◽  
Design And Optimization ◽  
Simulation Tools

Optimisation of Design and Operation Parameters for Multicomponent Separation via Improved Lewis-Matheson Method

2017 ◽  
Vol 12 (4) ◽  
Author(s):  
Ching Ching Tiong ◽  
Jobrun Nandong
Keyword(s):  
Design Procedure ◽  
Problem Formulation ◽  
Computational Time ◽  
Separation And Purification ◽  
Efficient Design ◽  
Feed Composition ◽  
Design And Optimization ◽  
Purification Technique ◽  
Stage Matching ◽  
Matching Criteria

AbstractDistillation is the most commonly used separation and purification technique in the chemical and allied industries despite that it has been known as the most energy-consuming unit in process industry. The need to reduce this energy consumption has become one of the important focuses in the efficient design and optimization of distillation processes. In the present work, we propose an improved Lewis-Matheson stage-by-stage procedure by incorporating the Fenske equation to enhance the estimation of the non-key component distributions, and thus avoiding infeasible solutions to the stage-by-stage system of equations of mass and energy balances. A modified theta method is also included in the design procedure to satisfy the feed stage matching criteria which help reduces the computational time while increasing the accuracy of feed composition matching. By using the proposed modified Lewis-Matheson method, an optimization is conducted in Matlab environment where the problem formulation takes into account both sets of design and operating parameters with specified product purity as the constraint. The objective function of the optimization is to minimize the Total Annualized Cost (TAC), which includes both capital and operating costs. The effectiveness of the proposed design procedure is demonstrated using an industrial-scale natural gas liquids (NGLs) depropanizer fractionation unit.

scholarly journals Efficient design and optimization of bio-photonic sensing cells (BICELLs) for label free biosensing

2013 ◽  
Vol 176 ◽  
pp. 753-760 ◽  
Author(s):  
Álvaro Lavín ◽  
Rafael Casquel ◽  
Francisco J. Sanza ◽  
María Fé Laguna ◽  
Miguel Holgado
Keyword(s):  
Label Free ◽  
Efficient Design ◽  
Design And Optimization

scholarly journals Evolutionary design of magnetic soft continuum robots

2021 ◽  
Vol 118 (21) ◽  
pp. e2021922118
Author(s):  
Liu Wang ◽  
Dongchang Zheng ◽  
Pablo Harker ◽  
Aman B. Patel ◽  
Chuan Fei Guo ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Magnetic Particles ◽  
Permanent Magnets ◽  
Complex Geometry ◽  
Nonuniform Distribution ◽  
Evolutionary Design ◽  
Efficient Design ◽  
Continuum Robots ◽  
End Effector ◽  
Design And Optimization

Worldwide cardiovascular diseases such as stroke and heart disease are the leading cause of mortality. While guidewire/catheter-based minimally invasive surgery is used to treat a variety of cardiovascular disorders, existing passive guidewires and catheters suffer from several limitations such as low steerability and vessel access through complex geometry of vasculatures and imaging-related accumulation of radiation to both patients and operating surgeons. To address these limitations, magnetic soft continuum robots (MSCRs) in the form of magnetic field–controllable elastomeric fibers have recently demonstrated enhanced steerability under remotely applied magnetic fields. While the steerability of an MSCR largely relies on its workspace—the set of attainable points by its end effector—existing MSCRs based on embedding permanent magnets or uniformly dispersing magnetic particles in polymer matrices still cannot give optimal workspaces. The design and optimization of MSCRs have been challenging because of the lack of efficient tools. Here, we report a systematic set of model-based evolutionary design, fabrication, and experimental validation of an MSCR with a counterintuitive nonuniform distribution of magnetic particles to achieve an unprecedented workspace. The proposed MSCR design is enabled by integrating a theoretical model and the genetic algorithm. The current work not only achieves the optimal workspace for MSCRs but also provides a powerful tool for the efficient design and optimization of future magnetic soft robots and actuators.

Computationally Efficient Design and Optimization Approach of PMa-SynRM in Frequent Operating Torque–Speed Range

2018 ◽  
Vol 33 (4) ◽  
pp. 1776-1786 ◽  
Author(s):  
Carlos Lopez-Torres ◽  
Antonio Garcia ◽  
Jordi-Roger Riba ◽  
Gerhard Lux ◽  
Luis Romeral
Keyword(s):  
Optimization Approach ◽  
Efficient Design ◽  
Computationally Efficient ◽  
Design And Optimization ◽  
Speed Range

Systematic Design of Crystal Structure for Hofmann-Like Spin Crossover Fe(L)2[Ag(CN)2]2 Complexes

Crystals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 370 ◽  
Author(s):  
Takashi Kosone ◽  
Yoshinori Makido ◽  
Syogo Okuda ◽  
Ayaka Haigo ◽  
Takeshi Kawasaki ◽  
...  
Keyword(s):  
Self Assembly ◽  
Spin Crossover ◽  
Interlayer Space ◽  
Layer Structure ◽  
Spin Transition ◽  
Axial Position ◽  
Systematic Design ◽  
Crystal Design ◽  
Critical Temperature Tc ◽  
Benzyl Nicotinate

The synthesis, crystal structures, and magnetic properties of a new two-dimensional (2D) Hofmann-like series, FeII(L)2[AgI(CN)2]2 (L = 3-cyano-4-methylpyridine (1), allyl isonicotinate (2), phenyl-isonicotinate (3), and benzyl nicotinate (4)) were studied. These compounds have a 2D sheet structure because of their strongly determinate self-assembly process. An octahedral FeII ion is coordinated with the nitrogen atoms of[AgI(CN)2 linear units at equatorial positions and monodentate pyridine derivatives at the axial position. The layers construct a parallel stacking array. Compounds 1–3 show pairs of layers constructed by intermetallic Ag···Ag interactions. Compound 4 shows a mono-layer structure. The substituent bulk of the ligands affects the interlayer space. Compounds 1–4 undergo a 100% spin transition. However, compound 1, incorporating a smaller group, has a relatively lower critical temperature (Tc = 182 K (1), Tc = 221 K (2), Tc = 227 (3) and Tc1 = 236 K, Tc2 = 215 K (4)). We investigated the correlations between our systematic crystal design, substituent size, and the spin crossover profiles.

Sign in / Sign up

Export Citation Format

Share Document