Rational Design Method Research Articles

A novel mixture sampling strategy combining latin hypercube sampling with optimized one factor at a time method: A case study on mixtures of antibiotics and pesticides

Global sensitivity analysis in conjunction with quantitative high-throughput screening presents a novel technique for identifying the key components that induce the toxicities of mixtures. However, the mixtures currently designed with this method suffer from unequal frequency sampling, repeated mixtures, and only odd factor levels being considered. Accordingly, we use latin hypercube sampling to generate the starting points of the trajectories to achieve equal frequency sampling and non-repeated mixtures, as well as apply different one factor at a time methods for factors with odd and even levels to achieve suitability for factors with both odd and even levels. This method is called LHS-OAT. LHS-OAT was successfully applied to design 110 equal-frequency and non-repeated mixtures consisting of six antibiotics and four pesticides. It was found that four factors, roxithromycin (A5), tetracycline (A6), dichlorvos (P1), and demeton-S (P3), induce the toxicities of mixtures, and A5 and P1 in the Shaying River Basin have risk quotients ≥ 1. Additionally, we developed the toxicity deviation ratio to correct the risk quotients of interacting mixtures for effective risk assessments. This study provides a rational and effective method for mixture design that accurately identifies the important factors that induce the toxicities of mixtures.

Improving the hydrolysis and acyltransferase activity of bifunctional feruloyl esterases DLFae4 by multiple rational predictions and directed evolution

In the present study, the hydrolysis and acyltransferase activities of bifunctional feruloyl esterases DLFae4 were enhanced by a combination of multiple mutation strategies based on rationally predicting the potential beneficial mutation sites. Results showed that V149D&I172G was the strongest double mutant (589.67 U/mg), and the triple mutant N173G&N169G&I148G exhibited 3.60 and 5.57 times higher hydrolytic activity and catalytic efficiency towards MFA, respectively. Furthermore, the triple mutant releases 16.16 mg/g ferulic acid (FA) from de-starched wheat bran (DSWB) in synergy with xylanase, which was increased by 9.34 times than that released by DLFae4 alone, and was the highest reported release amount. The double mutant V251Y&A341G with weakened hydrolytic activity but exhibited 4.30 times higher acyltransferase activity than that of DLFae4, and the corresponding acyl transfer efficiency improved by 11.37 times, representing the highest acyltransferase activity to date. The results from the current investigation demonstrate that combining multiple rational design methods is a robust pipeline for improving enzyme activities and provides new insights for enzyme modification.

Designing anti(-bio)fouling membranes with synergistic grafting of quaternized and zwitterionic polymers through surface initiated atom transfer radical polymerization

Membrane-based filtration technologies have significant potential to address the global problem of freshwater scarcity. However, fouling, caused by nonspecific adsorption of foulants and microbiological growth during filtration, remains a considerable concern. To address this, a rational surface design method comprising bifunctional coating with both defensive and attacking techniques has been devised, which can successfully decrease fouling and biofouling. To generate a bifunctional membrane, a single-step surface-initiated atom-transfer radical polymerization (SI-ATRP) of monomers with zwitterionic and quaternized imidazolium moieties was done on a polydopamine (PDA) primed polyvinylidene fluoride (PVDF) membrane. The PDA layer’s catechol functionalities provided abundant anchoring sites, allowing the grafting of a dense polymer layer on the membrane. The addition of active zwitterionic and quaternized imidazolium moieties in the grafted polymer chains resulted in very low fouling and microbiological species death. Extensive antifouling studies revealed that the functionalized membranes have excellent flux recovery (>93%), low irreversible fouling (<8.5%), and long-term filtration stability. This surface functionalization strategy based on a bifunctional unit represents a significant advancement in fouling mitigation by minimizing membrane-foulant interactions and killing adhered bacteria, with the potential to significantly broaden the range of membrane-based filtration applications and contribute to more efficient and sustainable water purification processes.

Dynamic behavior of liquefiable ground reinforced by in-situ cement-mixing lattice wall

In-situ cement-mixing lattice-shaped ground improvement (lattice wall) is one of the effective countermeasures for liquefiable grounds. However, its high cost hinders its wide applicability. This is mainly due to the conventional concept of seismic designs which do not allow any liquefaction of the ground against earthquakes.The recent seismic design code was revised to comply with the concept of performance-based design, which allows some displacement or slight damage to structures, such as pile foundations, during major earthquakes. In order to apply lattice walls to meet the concept of the recent design standard, especially against major earthquakes, it is necessary to establish a rational design method that considers the quantitative effect of lattice walls.In this study, therefore, a series of 1-g field shaking table tests was performed with a lattice wall, and the effect of the wall was carefully evaluated through the quantitative measurement of the stress–strain relationship of the liquefiable ground inside the lattice wall and in the free ground (without a lattice wall). It became possible to quantitatively examine the effect of the wall by installing small accelerometers into the ground with precision.Two major positive effects of the lattice wall were observed through the series of shaking table tests. One was the delay in the onset of liquefaction by the restriction of shear strain, and the other was the recovery of the shear stiffness of the ground even after the onset of liquefaction. These experimental results indicate that lattice walls can be applied as an effective liquefaction countermeasure method, especially when the performance-based design is applied to address large earthquakes.

Deep learning aided inverse design of the buckling-guided assembly for 3D frame structures

Buckling-guided assembly of three-dimensional (3D) mesostructures from pre-defined 2D precursor patterns has arisen increasing attention, owing to the compelling advantages in developing 3D electronic devices and systems with novel functionalities and/or capabilities. Establishments of rational inverse design methods that allow accurate mapping of the target 3D configuration onto the initial 2D precursor pattern are crucial to the widespread application of buckling-guided assembly methods. While a few methods (e.g., those based on theoretical models and generic algorithms) have been reported for the inverse design of 3D frame structures with interconnected ribbons, limitations still exist in their applicable 3D geometries or computational efficiency. In this work, we report an effective inverse design method based on the point-cloud deep learning neural network (DLNN) model for the buckling-guided assembly of 3D frame structures. A structure-based database in the point-cloud form is established based on massive finite element analyses (FEA) of postbuckling deformations for diverse 2D precursor patterns with different numbers of intersections. The well-trained deep learning models assisted by transfer learning strategy utilizing datasets in the constructed database are verified to establish the end-to-end implicit mapping between the 3D frame structure and corresponding 2D precursor pattern. Computational and experimental demonstrations over a bunch of complexly shaped structures, including those resembling 3D shapes of real-world objects, illustrate the high efficiency and accuracy of the proposed deep learning aided inverse design method. In comparison to previously reported methods based on genetic algorithms, the proposed inverse design method can save much more computational efforts, and does not require the initial guess of the 2D precursor pattern. Furthermore, the proposed inverse design method offers an excellent extensibility, as the size and diversity of the structure-based database can be continuously expanded in a sustainable manner, with the future development of buckling-guided assembly methods.

Enhancing the thermostability of Streptomyces cyaneofuscatus strain Ms1 tyrosinase by multi-factors rational design and molecular dynamics simulations.

This study presents a multi-factor rational design strategy combined with molecular dynamics simulation to improve the thermostability of Streptomyces cyaneofuscatus strain Ms1 tyrosinase. Candidate mutation sites were identified using Discovery Studio and FoldX software, and the double mutant G124W/G137W was obtained. The mutant was heterogeneously expressed in Escherichia coli strain Rosetta2 (DE3), and its thermostability was verified. Results indicate that the rational design method, combined with molecular dynamics simulation and protein energy calculation, improved the enzyme's thermostability more accurately and effectively. The double mutant G124W/G137W had an optimum temperature of 60°C, about 5.0°C higher than that of the wild-type TYRwt, and its activity was 171.06% higher than the wild-type TYRwt. Its thermostability was enhanced, 42.78% higher than the wild-type at 50°C. These findings suggest that the rational design strategy applied in this study can facilitate the application of industrial enzymes in the pharmaceutical industry.

Rational Design and Fabrication Method for Bioinspired Directional Droplet Sliding Surfaces

AbstractA rational design and fabrication method is proposed for fabricating polymeric directional droplet sliding surfaces inspired by butterfly wing microline arrays. The bioinspired structures are fabricated using a simple and well‐designed process that combines the conventional micro‐electromechanical system process with subsequent soft lithography. Three criteria to avoid fabrication errors during silicon mold production are suggested. The fabricated silicon master serves as a reliable and robust semi‐permanent mold for polymeric replication, resulting in bioinspired surfaces with high fidelity. The successfully fabricated bioinspired fabricated structure surface has a re‐entrant shape line structure and exhibits directional omniphobic properties while maintaining transparency. The fabricated surface is found to transport droplets in the direction where microlines are formed without wetting by various droplets, including water and oil. The results show that this surface can be applied to various fields. This study has implications for the development of artificial surfaces inspired by nature for various fields, including microfluidics, biotechnology, and energy‐harvesting devices.

Graphene-Wrapped Composites of Si Nanoparticles, Carbon Nanofibers, and Pyrolytic Carbon as Anode Materials for Lithium-Ion Batteries

Silicon (Si) anode materials have received much attention on account of their unparalleled theoretical specific capacity, but they suffer from huge volumetric expansion and particle pulverization, which leads to rapid capacity fading and poor electrical conductivity as well. In this work, a quaternary silicon/carbon (Si/C) composite anode material is proposed which combines the advantages of both graphene and the three-dimensional carbon framework through rational structural design and simple synthesis methods. Nanosilicon/carbon nanofibers/pyrolytic carbon (SCC) composite particles are first synthesized by spray drying and pyrolysis, which are then wrapped by graphene nanosheets through a second spray drying and pyrolysis process to obtain the final product (SGCC). In this composite, a 3D carbon skeleton composed of carbon nanofibers and pyrolytic carbon serves as an electric conductive matrix that supports and stabilizes Si nanoparticles, while graphene nanosheets wrapped on the surface further improve the conductivity and structure stability of the composite particles, and isolate the particles from direct contact with electrolytes. Meanwhile, the rich pores of the composite particles can effectively provide space for the volume expansion of Si during lithiation. As a consequence, the as-prepared SGCC composite shows a high initial Coulomb efficiency of 84.7%, a high reversible capacity of 2150.8 mA h g–1, and a good capacity retention rate of 83.75% after 100 cycles.

Rational design method for bituminous pavements reinforced by geogrid

Geosynthetics have been a reinforced solution for pavement structures for more than 80 years and could be effective in extending its service life. There is a lack of consolidated design methods for pavement with this reinforcement. Therefore, this work aims at proposing a new rational design approach for reinforced structures based on the French design method. In this approach, the geogrid contribution was included by improving the fatigue and rutting properties of some layers, using coefficients named kmaj and kmaj_Z. Three hypotheses were considered concerning the condition of an old bituminous layer remaining from rehabilitation works. The first one considered this layer in healthy condition to simulate a new reinforced structure. The second one considered it as cracked and the third one as disintegrated to simulate the design for rehabilitation. Two placement positions and two geogrid-interface conditions (bonded and not bonded) were analyzed. The results indicated that the geogrid was most effective in a completely deteriorated structure and it should be placed in the lowest possible position in the bound layers. This method can be used for any geogrid position within the structure. Lastly, the reinforcement by geogrid allows a reduction of the thickness of the layer above it.

Specificity of Penicillin Acylases in Deprotection of N-Benzyloxycarbonyl Derivatives of Amino Acids.

Changes in the structure of the N-acyl group in N-acylated amino acid derivatives significantly affect both the recognition and activity of penicillin acylases on this series of substrates. However, penicillin acylases from both Alcaligenes faecalis and Escherichia coli are capable of removing the N-benzyloxycarbonyl protecting group in amino acid derivatives under mild conditions without the use of toxic reagents. Efficiency in using penicillin acylases in preparative organic synthesis can be improved by utilizing modern rational enzyme design methods.

Metal-organic framework–derived NiCo2S4@Co3S4 yolk-shell nanocages/Ti3C2Tx MXene for high-performance asymmetric supercapacitors

Ti3C2Tx MXene has become an excellent two-dimensional conductive substrate for electrode materials of supercapacitors (SCs) with prominent physicochemical properties. Whereas, due to the lower theoretical specific capacitance and its interlayer agglomerate, the practical application and electrochemical property of Ti3C2Tx have imposed serious restrictions. Herein, metal-organic framework (MOF) derived NiCo2S4 @Co3S4 nanocages with superior yolk-shell structure are introduced to anchor on the surface of Ti3C2Tx via ion exchange reaction and electrostatic attraction, forming the distinctive hierarchical structure of NiCo2S4 @Co3S4/Ti3C2Tx composed of NiCo2S4 @Co3S4 yolk-shell nanocages (NiCo2S4 @Co3S4 YSNs) adsorbed on 2D Ti3C2Tx nanosheets. The NiCo2S4 @Co3S4 YSNs with a large void space, serving as a confined reactor, not only offer a buffer against the volume variation, but also supply abundant active sites and restrain the agglomeration of Ti3C2Tx nanosheets. Furthermore, the novel structure of NiCo2S4 @Co3S4/Ti3C2Tx composite as electrode material could accelerate the thermodynamic stability, suppress the textural instability, and moderate the unavoidable volume change of active substance. Benefited from the above merits, the NiCo2S4 @Co3S4/Ti3C2Tx electrode demonstrates a significant specific capacitance (1872 F g−1 at 2 mV s−1), remarkable rate capability in the high current density (such as, 1121.6 F g−1 at 20 A g−1, 1533 F g−1 at 0.5 A g−1) and displays an excellent life span with 92.2 % of the capacity retention after 12,000 cycles at 10 A g−1. More particularly, the asymmetric supercapacitors (ASCs) fabricated with NiCo2S4 @Co3S4/Ti3C2Tx represent a fascinating energy density of 241.9 Wh kg−1 at a power density of 1125 W kg−1, which can light up 10 LEDs simultaneously. The results further prove that this rational design method could provide a meaningful prospect for MXenes and MOF derivatives composites for high-performance ASCs.

Fabrication of multiatomic structure of Cu-CoO/Co interface for efficient hydrogen generation from ammonia borane hydrolysis

Hydrogen generation from hydrolysis of ammonia borane is a secure and promising route for conversion of hydrogen energy. Preparation of efficient and economical catalysts is highly required for the development hydrogen economy. In this study, the Co-based catalysts with multiatomic structure were designed for hydrolysis of ammonia borane reaction. The synergistic effect between Co and M (M = Cu, Ni, Fe) greatly enhanced the catalytic performance of bimetallic catalysts. The TOF value of CoCu-NC-5 towards 8.12 min−1 is 7 times that of the single Co catalyst. Moreover, The CoCu catalysts showed the stronger synergistic effect and highest catalytic activity for hydrogen generation, compared with CoNi and CoFe catalysts. The TOF value of CoCu-NC-5 is 2.3 and 6.0 times that of CoFe-NC-5 and CoNi-NC-5 catalysts, respectively. The active component structure of Cu-CoO/Co interface in CoCu-NC-5 is beneficial for activation and dissociation of water molecule due to the strong electron transfer effect and positive synergy. The activation energy over CoCu-NC-5 is 34.25 kJ mol−1, and the catalyst exhibited good stability. This work provides a feasible method for rational design of efficient catalysts with hierarchical structure for conversion of energy.

Update of the Pyrrolysyl-tRNA Synthetase/tRNAPyl Pair and Derivatives for Genetic Code Expansion.

The cotranslational incorporation of pyrrolysine (Pyl), the 22nd proteinogenic amino acid, into proteins in response to the UAG stop codon represents an outstanding example of natural genetic code expansion. Genetic encoding of Pyl is conducted by the pyrrolysyl-tRNA synthetase (PylRS) and its cognate tRNA, tRNAPyl. Owing to the high tolerance of PylRS toward diverse amino acid substrates and great orthogonality in various model organisms, the PylRS/tRNAPyl-derived pairs are ideal for genetic code expansion to insert noncanonical amino acids (ncAAs) into proteins of interest. Since the discovery of cellular components involved in the biosynthesis and genetic encoding of Pyl, synthetic biologists have been enthusiastic about engineering PylRS/tRNAPyl-derived pairs to rewrite the genetic code of living cells. Recently, considerable progress has been made in understanding the molecular phylogeny, biochemical properties, and structural features of the PylRS/tRNAPyl pair, guiding its further engineering and optimization. In this review, we cover the basic and updated knowledge of the PylRS/tRNAPyl pair's unique characteristics that make it an outstanding tool for reprogramming the genetic code. In addition, we summarize the recent efforts to create efficient and (mutually) orthogonal PylRS/tRNAPyl-derived pairs for incorporation of diverse ncAAs by genome mining, rational design, and advanced directed evolution methods.

Rational design of enzyme activity and enantioselectivity.

The strategy of rational design to engineer enzymes is to predict the potential mutants based on the understanding of the relationships between protein structure and function, and subsequently introduce the mutations using the site-directed mutagenesis. Rational design methods are universal, relatively fast and have the potential to be developed into algorithms that can quantitatively predict the performance of the designed sequences. Compared to the protein stability, it was more challenging to design an enzyme with improved activity or selectivity, due to the complexity of enzyme molecular structure and inadequate understanding of the relationships between enzyme structures and functions. However, with the development of computational force, advanced algorithm and a deeper understanding of enzyme catalytic mechanisms, rational design could significantly simplify the process of engineering enzyme functions and the number of studies applying rational design strategy has been increasing. Here, we reviewed the recent advances of applying the rational design strategy to engineer enzyme functions including activity and enantioselectivity. Five strategies including multiple sequence alignment, strategy based on steric hindrance, strategy based on remodeling interaction network, strategy based on dynamics modification and computational protein design are discussed and the successful cases using these strategies are introduced.

Adding knowledge to the design of safer hydrophobically modified poly(acrylic) acids: an ecotoxicological approach.

The architecture of hydrophobically modified polymers can be tailored to produce variants with different levels of functionality. This allows industry to apply rational design methods for the development of more environmentally friendly materials. In the present work, the ecotoxicity of six variants of hydrophobically modified poly(acrylic) acids (HMPAA), obtained by changing the crosslinked conformation, insertion position, and length of the hydrophobic groups, was assessed for the (i) bioluminescence production of Aliivibrio fischeri; (ii) population growth rate of Raphidocelis subcapitata and Chlorella vulgaris; (iii) mortality of Brachionus calyciflorus; (iv) feeding inhibition, somatic growth rate, reproduction, and mortality of Daphnia magna; and (iv) mortality and somatic growth rate of Pelophylax perezi tadpoles. The concentrations causing 50% and 20% of effects (L(E)C50 and 20, respectively) ranged from 9.64 up to > 2000mg·L-1 for all six HMPAA and species. The bacterium A. fischeri and tadpoles of P. perezi were the most sensitive and most tolerant organisms to the six tested HMPAA, respectively. The computed 5% hazard concentrations (computed on the basis of L(E)C50s) showed that HMPAA1 (13.0mg·L-1) and HMPAA2 (26.1mg·L-1) were the most toxic variants, while HMPAA6 (233mg·L-1) the least one. These results suggest HMPAA6 (with low crosslink percentage modified by the addition of long and short hydrophobic groups at the surface) to be the most environmentally friendly variant and should be preferentially considered to be used in consumer products, compared to the other five studied variants.

Estimation of Failure Mode of Mortar-Filled Sleeve Rebar Splices

In order to establish a more rational structural design method for mortar-filled sleeve rebar splices, it is necessary to analyze and evaluate structural factors affecting the structural performance of these rebar splices. It is very desirable to be able to quantitatively estimate the failure mode of the splices at the design stage. A method for estimating the failure mode of mortar-filled sleeve rebar splices presented from the existing research is not clear because the boundary of failure mode is not expressed in formulas. There are also limitations using the methods because the research is based on limited number of test variables, insufficient number of test specimens, and the fact that only steel pipe sleeves were used. Therefore, to establish a more general and comprehensive failure mode estimation method, it needs to be presented in a more quantitative and explicit fashion and evaluated using more diverse variables. In this study, as part of an effort to generate basic data for the establishment of a more rational and quantitative structural design method for mortar-filled sleeve rebar splices, the failure mode estimation method is presented based on the existing bond strength equations of sleeve rebar splices. In addition, to examine the suitability of this failure mode estimation method, the failure modes of 303 sleeve rebar splices were evaluated. The evaluation results indicated that the failure mode estimation method for mortar-filled sleeve rebar splices proposed by this study would yield a failure mode estimation with a sufficiently practical accuracy.

Testing pile foundations at the ETH Zurich drum centrifuge: recent developments

Motivated by the need to develop rational design methods for the retrofit of existing bridges on pile groups, this paper introduces recent experimental developments at the ETH Zurich drum centrifuge in Switzerland. Four set-ups are developed for vertical, pushover, combined and vibration testing. Their capabilities and limitations are demonstrated using as an example a 2 × 1 pile group on dense saturated sand. Single piles are subjected to vertical loading, exploring the role of installation effects and interface roughness. Pushover loading is employed to measure the moment capacity [Formula: see text] of a lightly and a heavily loaded group. In contrast to intuitive expectations, the heavily loaded system mobilises larger [Formula: see text]. The developed combined loading apparatus is proof-tested for a shallow foundation. Combined loading under constant vertical load is conducted to derive failure envelopes, revealing significant coupling between lateral and moment loading, and confirming the expansion of the failure envelope with increasing static vertical load. The vibration testing set-up is proof-tested, confirming the possibility of identifying the natural frequency of the system and the small-strain stiffness of the foundation through non-destructive testing. Although the study is fuelled by the ongoing work on pile groups, the developed experimental set-ups are of general applicability for the study of deep and shallow foundation systems.

A new product development study using intelligent data analysis algorithm based on KE theory

The Artificial Neural Networks (ANN) are more widely used in the New Product Development (NPD) process in recent years. The product data generation process is a prerequisite for the application of the ANN algorithm. In the development of new products, the Kansei Engineering (KE) method is an effective emotion-based data generation method. The Semantic Difference (SD) method is usually used to obtain data to apply to design idea generation. Facing the data demand of product creativity, it is important to establish the relationship between consumer perception and product expression. Numerical relationships are not linear and several methods are required for solving these problems. The method of the Back Propagation (BP) neural network is simple and effective to be used in this case. This paper proposes an innovative data modeling method using digital coding and KE. This model explores a rational design method of perceptual intention and builds an intelligent model. Compared with traditional method, the modified model can quickly and accurately reflect the users’ perceptual needs, make the design more scientific, improve the design efficiency, and reduce design costs. This method is used in the design of electric welding machines, and this process can effectively provide technical support for NPD process in small and medium-sized enterprises.

Rational design of thermoelastic damping in microresonators with phase-lagging heat conduction law

The design of thermoelastic damping (TED) affected by the phase-lagging non-Fourier heat conduction effects becomes significant but challenging for enlarging the quality factor of widely-used microresonators operating in extreme situations, including ultra-high excitation frequency and ultra-low working temperature. However, there does not exist a rational method for designing the TED in the framework of non-Fourier heat conduction law. This work, therefore, proposes a design framework to achieve low thermoelastic dissipation of microresonators governed by the phase-lagging heat conduction law. The equation of motion and the heat conduction equation for phase-lagging TED microresonators are derived first, and then the non-Fourier TED design problem is proposed. A topology optimization-based rational design method is used to resolve the design problem. What is more, a two-dimensional (2D) plain-strain-based finite element method (FEM) is developed as a solver for the topology optimization process. Based on the suggested rational design technique, numerical instances with various phase lags are investigated. The results show that the proposed design method can remarkably reduce the dissipation of microresonators by tailoring their substructures.

Development of a Quantitative and Predictive Model for Electrodeposition of Metals and Alloys with Experimental Verifications

Electrodeposition is widely used in the refinery, manufacture, and coating of metals and alloys. Electrodeposition is a complicated process with many factors, such as deposition potential, current density, electrolyte composition and concentration, convection, additives, and temperature, can have significant impacts on the phase composition, morphology, and particle size of the deposited metals/alloys, thus consequentially impacting the physical and chemical properties of the deposited parts. In the past, a recipe for a particular metal/alloy electrodeposition is commonly established through trial-and-error tests, which is very time consuming. Here we report our recent efforts trying to build a quantitative and predictive model based on ex situ and in situ experimental characterizations of electrodeposition processes.To build the model, we chose copper as the model material for electrodeposition. A few electrochemical cells which have different geometries and dimensions and provide non-uniform current density distributions were designed and used. Through variation of the electrode placement and cell geometry, the current density distribution on the working electrode in the electrodeposition process can be tuned. The amount and growth rate of the deposited Cu layer in various electrochemical cells and under different deposition conditions (such as different potential, electrolyte concentration or physical location) were experimentally measured with using carefully calibrated and normalized X-ray diffraction (XRD) data. A multi-physics multi-scale model was developed to quantify the distribution of the current density and the growth rate of deposited Cu at different locations. The experimentally measured data was used to verify and improve the model. The results showed that the model can accurately predict the distribution of the current density with given nominal deposition potential or current, and thus predict the growth rate of the deposited Cu phase.The success of this model offers hopes to rationally design the deposition of metals and alloys to replace conventional trial-and-error method. The impact of different deposition substrates, additives, electrolyte concentrations will also be discussed. Proof-of-concept experiments also demonstrated that this rational design method can be applied to the design of electrodeposition of alloys, offering a much broader range of potential applications.