Simulation on the Factors Affecting the Crystallization Process of FeNi

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Simulation on the Factors Affecting the Crystallization Process of FeNi Alloy by Molecular Dynamics Dung Nguyen-Trong,*,† Kien Pham-Huu,‡ and Phuong Nguyen-Tri*,§ †

Faculty of Physics, Hanoi National University of Education, 136 Xuan thuy, Cau giay, HaNoi, Vietnam Thainguyen University of Education, 28 Luong Ngoc Quyen, Thainguyen 250000, Vietnam § Department of Chemistry, Biochemistry and Physics, University of Quebec at Trois-Rivieres, Trois-Rivières G8Z 4M3 Canada

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ABSTRACT: This paper investigates the crystallization process of FeNi alloys with different impurity concentrations of Ni(x) [x = 10% (Fe90Ni10), 20% (Fe80Ni20), 30% (Fe70Ni30), 40% (Fe60Ni40), and 50% (Fe50Ni50)] at temperature (T) = 300 K and Fe70Ni30 at heating rates of 4 × 1012, 4 × 1013, and 4 × 1014 K/s at different temperatures, T = 300, 400, 500, 600, 700, 900, 1100, and 1300 K. Molecular dynamics models with the Sutton−Chen embedded interaction potential and recirculating boundary conditions are used to calculate the molecular parameters of alloys, such as radial distribution function, total energy of the system (Etot), size (l), and crystallization temperature (through the relationship between Etot and T). The common neighborhood analysis method is used to confirm the theoretical results of crystallization for Fe−Fe, Fe−Ni, and Ni−Ni. The annealing process did not have an effect on the crystallization process of FeNi alloys. The effect of Ni content, heating rate, and annealing time on structural unit numbers, such as face-centered cubic, hexagonal close-packed, blocked cubic center, and amorphous, and the crystallization process of FeNi alloys is also investigated.

1. INTRODUCTION Nowadays, FePt,1 CoPt3,2 CoPt,3 CoRh,4 and NiFe5 alloys are being used in many application fields such as biology,6,7 adsorption,8,9 data storage,10,11 high-density storage,12−14 photocatalysts,15,16 chemical sensors,17−19 and biomedicine.20−22 FeNi alloys have received great attention from scientists thanks to their interesting properties: magnetic,23 photocatalytic,24,25 antioxidant,26,27 and biomedical.28 This material is suitable for biomedical applications because they exhibit magnetic superparamagnetic properties and thus can be used for various applications dealing with drug delivery, hyperthermia, and magnetic resonance imaging.29 Experimental, theoretical, and simulation methods are used to investigate the structure of FeNi alloys. With the experimental method, FeNi alloys were successfully fabricated by the evaporation method at temperature (T) = 1823 K30 with Fe concentrations of 36%, and the size (D) varies from 20 nm to 100 nm;31 the hydrogenation reaction gives spherical nanoparticles with size smaller than 35 nm;32 and the plasma treatment in the mixture of H2 and Ar leads to nanoparticles with nanoscale size.33 The latter depends on the temperature and air flow rate,34 pyrolysis conditions,35 and preparative methods.36−38 Fe1−xNix alloys with size 10−25 nm39,40 are being implemented very little by the experimental method, whereas the simulation method is considered the most interesting method because of its ability to study at the atomic level without the consumption of energy as in the experimental methods. They were built by molecular © XXXX American Chemical Society

dynamics (MD) method, Monte-Carlo method, combined with interaction potentials, such as the average effective field theory,41 atomic method, Finnis and Sinclair,42,43 and embedded interaction Sutton−Chen (SC).44,45 The obtained results are highly accurate. To study the structure of FeNi materials,46 Daw and Nguyen have used the MD method with the embedded interaction SC,5,47 in combination with the parameters of Meyer and Entel.48 The experimental method and simulation method can be combined to obtain highprecision results.49−54 Ni has a face-centered cubic (FCC) structure and Fe has a blocked cubic center (BCC) structure; however, hybridization leads to new structures. The change of alloy structure depends on various factors including solute concentration, atomic number, temperature, annealing time, and so forth. The solute concentration (x) of Fe in Ni1−xFex alloy can reach 100% at high temperatures, ranging from T = 1183 K to T = 1665 K,55 whereas at low temperatures, the impurity concentration can reach a maximum of x = 66%.55,56 In addition, scientists used the electron model57−60 to study the defect buttons, defects, and surface properties of materials.36,61 To study the structure and phase transition temperature of CuNi and CuAu, energy alignment method,62 the ability method of Blaha et al.,63 and the network constants Received: July 4, 2019 Accepted: August 12, 2019

A

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Figure 1. Shape (a) and RDF (b) of sample Fe90Ni10 at a temperature of 300 K.

Table 1. Size, Total Energy of the System, Position, and Height of RDF FeNi Alloys with Different Ni Impurity Concentrations FeNi alloys r (Å) g(r) l (nm) Etot (eV)

Fe90Ni10

Fe80Ni20

Fe70Ni30

Fe60Ni40

2.45

2.45

2.48

2.60

FeNi 2.60

5.03 7.46 −2188.47

4.73 7.50 −3437.55

4.46 7.54 −4703.88

4.28 7.59 −5929.33

4.71 7.63 −7175.27

results experiment 2.53 Å21 simulation 2.49 Å5

Figure 2. Relationship between the size (l) and the solute concentration of Ni (a) and that between the total energy of the system (Etot) and the solute concentration of Ni (b).

of the material64 are used. With the MD simulation method, Grujicic et al. have successfully studied the effect of impurity concentration65,66 and have established the relationship between the FCC and BCC structural phases. Lavrentiev et al.67 determined the effect of concentration of Ni impurities in Fe1−xNix from x = 5% to x = 75% on the phase transition temperature (Tm) = 800 K; in the FCC structure, the crystallization temperature, Tg = 600 K. Recently, we have successfully studied the effect of the impurity concentration of Fe in Ni1−xFex nanoparticles, with x = 10, 30, and 50%, on the radial distribution function (RDF) structural unit numbers, FCC, hexagonal close-packed (HCP), and amorphous (Amor).5 In addition, with the concentration of Cu solids of 33% in AlCu, the transition temperature (Tm) is found to be 821 K,76 whereas an increase in the number of CuNi atoms leads to an increase in the concentration of solute Ni,77 and Ag increases in CuAg.78 As previously mentioned that FeNi is a promising material, however, the molecular structure is not reported in the literature. Moreover, the effect of inlet conditions such as heating rate, impurity concentration, and

annealing time at a molecular level is investigated by using the MD method with the embedded interaction potential SC and recirculation boundary conditions. Various molecular parameters are calculated for these alloys, which will be useful for a better understanding of the behavior of these alloys at a molecular level.

2. RESULTS AND DISCUSSION 2.1. Effect of Impurity Concentration. The effect of Ni concentration in the alloys on the shape and RDF of samples Fe90Ni10, Fe80Ni20, Fe70Ni30, Fe50Ni50 (FeNi), and Fe60Ni40 is shown in Figure 1. Figure 1a shows that Fe90Ni10 at T = 300 K has a cube shape, created by two types of atoms, Fe and Ni, in which Fe atoms are in red color and Ni atoms are in blue color. The first peak position of RDF has a value, r = 2.45 Å, height g(r) of 5.03 (Figure 1b), size (l) = 7.46 nm, and the total energy of the system (Etot) = −2188.47 eV. An increase in the impurity concentrations (x) of Ni in FeNi alloys from Fe90Ni10 to Fe80Ni20, Fe70Ni30, Fe60Ni40, and FeNi leads to an increase in the r value from 2.45 Å to 2.45, 2.48, 2.60, and 2.60 Å; g(r) B

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Figure 3. Structural unit number shapes of FeNi alloys: FCC structure (a), HCP structure (b), BCC structure (c), and Amor structure (d).

2.2. Effect of Heating Rate. Several molecular parameters of the sample Fe70Ni30 at T = 300 K as a function of heating rate (4 × 1012, 4 × 1013, and 4 × 1014 K/s) are shown in Table 3.

decreases from 5.03 to 4.73, 4.46, 4.28, and 4.71; l increases from 7.46 nm to 7.50, 7.54, 7.59, and 7.63 nm, and Etot decreases from −2188.47 eV to −3437.55, −4703.88, −5929.33, and −7175.27 eV (Table 1). For Fe70Ni30, r = 2.48 Å, which is consistent with the experimental result (r = 2.53 Å)21 and simulation results (r = 2.49 Å).5 Besides, the effects of particle size (l) and Etot with the solute concentrations of Ni are shown in Figure 2. The results show that the size (l) of FeNi alloys is always directly proportional to the solute concentration of Ni and satisfies the formula: l = 7.415 + 0.43x (Figure 2a); the energy of the system (Etot) is directly proportional with the solute concentration of Ni (−x) and satisfies the formula: Etot = −947.28 − 12 465.38x. Figure 2b shows that the solute concentration (x) has a significant influence on l and Etot of FeNi alloys. The obtained results show that l is directly proportional with x and Etot is directly proportional with −x. The results are in line with those recently reported by the simulation method5 and the experiment method.72 To confirm the accuracy of the obtained results, the visualization method and common neighborhood analysis (CNA) method have been used, and the results are shown in Figure 3, Table 2.

Table 3. Size, Energy, First Peak Position, and First Peak Position Height of RDF with Different Heating Rates FeNi alloys heating rate (K/s) r (Å) g(r) l (nm) Etot (eV)

FCC

HCP

BCC

Amor

Fe90Ni10 Fe80Ni20i Fe70Ni30 Fe60Ni40 Fe50Ni50

2168 3274 3547 1777 1722

1425 1130 1290 852 1080

43 109 53 32 25

1688 811 434 2663 2497

4 × 1013

4 × 1014

2.48

2.50

2.6

4.46 7.54 −4703.88

3.92 7.59 −4688.11

results (Å) 2.5321 2.495

3.90 7.56 −4685.93

Table 3 shows that Fe70Ni30 at T = 300 K with a heating rate of 4 × 1012 K/s has r = 2.48 Å, g(r) = 4.46, l = 7.54 nm, and Etot = −4703.88 eV. An increase in the heating rate from 4 × 1012 to 4 × 1013 and 4 × 1014 K/s leads to an increase of r from 2.48 Å to 2.60 Å and a decrease of g(r) from 4.46 to 3.90; l changes in the range from 7.54 to 7.59 nm; and Etot increases from −4703.88 eV to −4685.93 eV. These results show that the increase of the heating rate leads to the transfer of Fe70Ni30 from the crystalline state to amorphous state. To confirm the accuracy of the results, the visualization method and the CNA method are used, and the results are shown in Figure 4. The results show that Fe70Ni30 with a heating rate of 4 × 1012 K/s has different structural shapes (Figure 4a1−c1) corresponding to the structural unit number: 3547 FCC, 1290 HCP, 53 BCC, and 434 Amor, respectively. When the heating rate is increased from 4 × 1012 to 4 × 1013 and 4 × 1014 K/s, the structural unit number of FCC decreased from 3547 FCC to 1912 FCC and 1055 FCC; HCP decreased from 1290 HCP to 1386 HCP and 736 HCP; BCC decreased from 53 BCC to 0.0 BCC and 37 BCC; and Amor increased from 434 Amor to 2026 Amor and 3496 Amor (Figure 4a2−c2). This confirms that the increase of the heating rate leads to a decrease in the crystallization process. 2.3. Influence of Temperature. The relationship between the energy of the system Etot and temperature T = 300, 400, 500, 600, 700, 900, 1100, and 1300 K is also investigated, and the results are shown in Figure 5. Figure 5 shows that Fe70Ni30 at T = 300 K has Etot = −4703.88 eV. When T is increased from 300 K to 400, 500, 600, 700, 900, 1100, and 1300 K, the l value increases from 75.41 nm to 75.47, 75.57, 75.64, 75.75, 75.93, 76.32, and 76.79 nm, and Etot increases from −4703.88 eV to −4699.06, −4691.34, −4685.80, −4677.88, −689.81, −4665.10, −4647.32, and −4631.61 eV (Figure 5). The results show that an increase of T leads to an increase of l and Etot. When T increases from 300 K to 600 K and from 600 K to 1300 K, Etot

Table 2. Structural Unit Numbers of FeNi Alloys with Different Ni Impurity Concentrations Ni doped concentration

4 × 1012

Figure 3 shows that FeNi alloys exhibits four types of structure: FCC structure (Figure 3a), HCP structure (Figure 3b), BCC structure (Figure 3c), and Amor structure (Figure 3d). An increase of Ni solute concentration from Fe90Ni10 to Fe80Ni20, Fe70Ni30, Fe60Ni40, and FeNi leads to an increase and then a decrease of the FCC, HCP, and BCC structure unit numbers, whereas the Amor structure unit number first decreases and then increases (Table 2). This confirms that the increase of solute concentration of Ni in FeNi alloys leads to an increase of crystallization rate. This phenomena is not often observed. The largest crystallization process is observed when the solute concentration of Ni in FeNi alloy, x = 30%. This result is consistent with those recently reported for Cu (33%) in AlCu,76 the concentration of soluble Ni increases when the number of atoms CuNi77 and Ag increases in CuAg.78 To further investigate the effect of other factors on the molecular structure, FeNi alloy has been chosen as the reference, with a Ni-doped concentration of x = 30% (Fe70Ni30), to study in the next sections. C

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Figure 4. Structural shape (a1−c1) and the structural unit numbers of FeNi alloys (a2−c2) at different heating rates.

increases linearly, and an interrupting point at T = 600 K, corresponding with Etot = −4685.80 eV, is observed. This value is assigned to the crystallization temperature (Tg) 600 K. This seems to be consistent with the experimental results (Tg = 593 K).15,23,24 To confirm the accuracy of the obtained results, CNA and RDF methods are used, and the results are shown in Figure 6. Figure 6 indicates that at T = 300 K, Fe70Ni30 has r = 2.48 Å and g(r) = 4.46. When T is increased from 300 K to 1300 K, r increases from 2.48 Å to 2.63 Å, and g(r) changes in the range from 4.46 to 4.06 (Figure 6a); however, the structural unit number of FCC remains unchanged when the temperature varies from 300 K to 600 K. When T > 600 K, FCC declines rapidly; HCP decreases slowly in the range from 300 K to 600 K. When T > 600 K, HCP decreases rapidly; BCC changes; and Amor lightly increases in the temperature range from 300

Figure 5. Relationship between Etot and T.

Figure 6. RDF (a) and structural unit numbers (b) of Fe70Ni30 at different temperatures. D

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Figure 7. Relationship between the total energy of the system Etot (a1), structural unit numbers (b1), RDF (c1), and structural shape (a2−d2) with different annealing times.

proportional with −x. These obtained results are supported by experimental and72 simulation results.5 Different types of structural unit numbers are found for these alloys including FCC, HCP, BCC, and Amor which are completely consistent with the experimental and theoretical results.5,15,21,23,24

K to 600 K, and then Amor increases rapidly when T > 600 K (Figure 6b). This asserts that Fe70Ni30 has a thermal transition at T = 600 K. 2.4. Effect of Annealing Time. The results of Fe70Ni30 after the annealing process are shown in Figure 7. The results shows that Fe70Ni30 at an annealing time (t), t1 = 0.0 ps has Etot = −4685.80 eV. When annealing t increased from 0.0 ps to 450 ps, Etot remains almost unchanged (Figure 7a1). This confirms that after annealing time, there is no structural change; a negligible change in the structural unit numbers is also observed (Figure 7b1); RDF has a negligible change with the annealing time (Figure 7c1). Similar tendency has been observed for structural shapes (Figure 7a2−d2). When x = 30%, the crystallization process reaches the maximum value. When the annealing time is increased, the crystallization process remains stable. In other words, the crystallization of these alloys is relatively rapid and is completed after a very short time, and thus annealing is not necessary to improve the crystallization degree.

4. CALCULATION METHOD Initially, FeNi alloys with 5324 atoms at different solute concentrations of Ni, heating rate, temperature, and annealing time were randomly planted into a cube and then studied by MD method68 with embedded interaction potential SC,1,69−71 Verlet algorithm,72 and recirculation boundary conditions. N

Etot =



N

1 ∑ Φ(rij) + F(ρi ) 2 j = 1, j ≠ i

ij a yz where Φ(rij) = εjjjj zzzz , ρi = j rij z k { i=1

n

ij a yz ρ(rij), ρ(rij) = jjjj zzzz , j rij z j = 1, j ≠ i k { N

n



N

and F(ρi ) = − εC∑ ρi

3. CONCLUSIONS In this study, the crystallization process of FeNi alloys by the MD method is investigated. We have successfully described and calculated various molecular parameters for these alloys by using the SC interaction potential and recirculating boundary conditions. We show that the increase of the solute concentration (x) of Ni in FeNi alloys leads to an increase of the crystallization process and that a maximum value is obtained at x = 30%. Our findings show that the crystallization temperature (Tg) is found to be about 600 K and that the annealing time (t) does not affect the crystallization state. We have successfully established the relationship of x with l and Etot: l is proportional with x, whereas Etot is directly

i=1

(1)

where rij is the distance between two atoms i and j; a is the network constant; ρi is the atomic density i; Etot is the total energy of the system; Φ(rij) is the energy between two atoms i and j; F(ρi) is the interaction force of atom i; rc = 3.15 Å is the interrupt radius; ε is the energy; and C, m, n, and N are the parameters of FeNi alloys. The parameters of FeNi alloys are presented in Table 4. After collecting the samples of FeNi alloys with different solute concentrations, x = 10% (Fe90Ni10), 20% (Fe80Ni20), 30% (Fe70Ni30), 40% (Fe60Ni40), and 50% (Fe50Ni50), Fe70Ni30, the heating rates are 4 × 1012, 4 × 1013, and 4 × E

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(7) Liang, R.; Tian, R.; Ma, L.; Zhang, L.; Hu, Y.; Wang, J.; Wei, M.; Yan, D.; Evans, D. G.; Duan, X. A Supermolecular Photosensitizer with Excellent Anticancer Performance in Photodynamic Therapy. Adv. Funct. Mater. 2014, 24, 3144. (8) Millange, F.; Walton, R. I.; Lei, L.; O’Hare, D. Efficient Separation of Terephthalate and Phthalate Anions by Selective IonExchange Intercalation in the Layered Double Hydroxide Ca2Al(OH)6·NO3·2H2O. Chem. Mater. 2000, 12, 1990−1994. (9) Shan, R.-r.; Yan, L.-g.; Yang, K.; Hao, Y.-f.; Du, B. Adsorption of Cd(II) by Mg−Al−CO3 and magnetic Fe3O4/Mg−Al−CO3-layered double hydroxides: Kinetic, isothermal, thermodynamic and mechanistic studies. J. Hazard. Mater. 2015, 299, 42−49. (10) Luo, J.; Jeong-Hyeok, I.; Mayer, M. T.; Schreier, M.; Nazeeruddin, M. K.; David Tilley, S.; Fan, H. J.; Grätzel, M. Water photolysis at 12.3% efficiency via perovskite photovoltaics and Earthabundant catalysts. Science 2014, 345, 1593−1596. (11) Gong, M.; Li, Y.; Wang, H.; Liang, Y.; Wu, J. Z.; Zhou, J.; Wang, J.; Regier, T.; Wei, F.; Dai, H. An Advanced Ni−Fe Layered Double Hydroxide Electrocatalyst for Water Oxidation. J. Am. Chem. Soc. 2013, 135, 8452−8455. (12) Majetich, S. A.; Jin, Y. Magnetization Directions of Individual Nanoparticles. Science 1999, 284, 470. (13) Sun, S.; Murray, C. B.; Weller, D.; Folks, L.; Moser, A. Monodisperse FePt Nanoparticles and Ferromagnetic FePt Nanocrystal Superlattices. Science 2000, 287, 1989. (14) Ross, C. Patterned magnetic recording media. Annu. Rev. Mater. Res. 2001, 31, 203. (15) Lin, F.-h.; Doong, R.-a. Bifunctional Au-Fe3O4 Heterostructures for Magnetically Recyclable Catalysis of Nitroph enol Reduction. J. Phys. Chem. C 2011, 115, 6591. (16) Polshettiwar, V.; Varma, R. S. Green chemistry by nanocatalysis. Green Chem. 2010, 12, 743−754. (17) Storhoff, J. J.; Elghanian, R.; Mucic, R. C.; Mirkin, C. A.; Letsinger, R. L. One-Pot Colorimetric Differentiation of Polynucleotides with Single Base Imperfections Using Gold Nanoparticle Probes. J. Am. Chem. Soc. 1998, 120, 1959−1964. (18) Labande, A.; Astruc, D. Colloids as redox sensors: recognition of H2PO4 and HSO4 by amidoferrocenylalkylthiol − gold nanoparticles. Chem. Commun. 2000, 1007. (19) Kim, Y.; Johnson, R. C.; Hupp, J. T. Gold Nanoparticle-Based Sensing of “Spectroscopically Silent” Heavy Metal Ions. Nano Lett. 2001, 1, 165−167. (20) Son, S. J.; Reichel, J.; He, B.; Schuchman, M.; Lee, S. B. Magnetic Nanotubes for Magnetic-Field-Assisted Bioseparation, Biointeraction, and Drug Delivery. J. Am. Chem. Soc. 2005, 127, 7316−7317. (21) Zhao, W.; Gu, J.; Zhang, L.; Chen, H.; Shi, J. Fabrication of Uniform Magnetic Nanocomposite Spheres with a Magnetic Core/ Mesoporous Silica Shell Structure. J. Am. Chem. Soc. 2005, 127, 8916−8917. (22) Bonnemain, B. Superparamagnetic Agents in Magnetic Resonance Imaging: Physicochemical Characteristics and Clinical Applications A Review. J. Drug Targeting 1998, 6, 167−174. (23) Olekšaḱ ová, D.; Kollár, P.; Füzer, J. Structure and magnetic properties of powdered and compacted FeNi alloys. J. Electr. Eng. 2017, 68, 163−166. (24) Sels, B.; Vos, D. D.; Buntinx, M.; Pierard, F.; Kirsch-De Mesmaeker, A.; Jacobs, P. Layered double hydroxides exchanged with tungstate as biomimetic catalysts for mild oxidative bromination. Nature 1999, 400, 855−857. (25) Choudary, B. M.; Madhi, S.; Chowdari, N. S.; Kantam, M. L.; Sreedhar, B. Layered Double Hydroxide Supported Nanopalladium Catalyst for Heck-, Suzuki-, Sonogashira-, and Stille-Type Coupling Reactions of Chloroarenes. J. Am. Chem. Soc. 2002, 124, 14127− 14136. (26) Liu, Y.; Chi, Y.; Shan, S.; Yin, J.; Luo, J.; Zhong, C.-J. Characterization of magnetic NiFe nanoparticles with controlled bimetallic composition. J. Alloys Compd. 2014, 587, 260−266.

Table 4. Main Parameters of FeNi Alloys material

εFeNi (×10−2 eV)a

aFeNi (Å)b

nFeNic

mFeNid

CFeNie

Fe Ni

1.730 0.271

3.471 3.520

8.137 10

4.787 5

24.939 84.745

nFeNi =

(nFe + nNi) . 2

a

εFeNi =

d

mFeNi =

εFe·εNi .

b

(mFe + mNi) e . C FeNi 2

aFeNi = =

(aFe + aNi) . 2

c

C Fe·C Ni .

1014 K/s at T = 300 K; for the Fe70Ni30 sample, T = 300, 400, 500, 600, 700, 900, 1100, and 1300 K; t = 450 ps (corresponding to the moving step number of 1.8 × 105 steps; time of each step is of 2.5 fs) at T = 600 K. The temperatures of all samples were increased from 0 K to 2500 K to break the initial crystalline structure state and moved to a liquid state. When the temperature is conducted to 2500 K, the samples were cooled to different temperatures of 1300, 1100, 900, 700, 600, 500, 400, and 300 K, with the same heating rate, to switch from the liquid to crystalline state. The crystallization process of FeNi alloys is investigated through RDF, size (l), total energy of the system (Etot), structure (through shape, size, and relationship between the temperature (T) and Etot). CNA73 is used to determine the structure unit number of FCC, HCP, BCC, and Amor structures, and the heating rate process of FeNi alloys is carried out by the Nosé−Hoover temperature regulator.74,75



AUTHOR INFORMATION

Corresponding Authors

*E-mail: [email protected] (D.N.-T). *E-mail: [email protected] (P.N.-T.). ORCID

Dung Nguyen-Trong: 0000-0002-7706-1392 Phuong Nguyen-Tri: 0000-0001-6578-5716 Notes

The authors declare no competing financial interest.



ACKNOWLEDGMENTS This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 103.02-2018.312.



REFERENCES

(1) Chen, M.; Liu, J. P.; Sun, S. One-Step Synthesis of FePt Nanoparticles with Tunable Size. J. Am. Chem. Soc. 2004, 126, 8394− 8395. (2) Shevchenko, E. V.; Talapin, D. V.; Schnablegger, H.; Kornowski, A.; Festin, Ö .; Svedlindh, P.; Haase, M.; Weller, H. Study of Nucleation and Growth in the Organometallic Synthesis of Magnetic Alloy Nanocrystals: The Role of Nucleation Rate in Size Control of CoPt3Nanocrystals. J. Am. Chem. Soc. 2003, 125, 9090−9101. (3) Sobal, N. S.; Ebels, U.; Möhwald, H.; Giersig, M. Synthesis of Core-Shell PtCo Nanocrystals. J. Phys. Chem. B 2003, 107, 7351− 7354. (4) Zitoun, D.; Respaud, M.; Fromen, M.-C.; Casanove, M. J.; Lecante, P.; Amiens, C.; Chaudret, B. Magnetic Enhancement in Nanoscale CoRh Particles. Phys. Rev. Lett. 2002, 89, 037203. (5) Nguyen, T. D. Influence of impurity concentration, atomic number, temperature and tempering time on microstructure and phase transformation of Ni1−xFex (x=0.1, 0.3, 0.5) nanoparticles. Mod. Phys. Lett. B 2018, 32, 1850204. (6) Choy, J.; Choi, S.; Oh, J.; Park, T. Clay minerals and layered double hydroxides for novel biological applic ations. Appl. Clay Sci. 2007, 36, 122−132. F

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(27) Liu, Y.; Liu, K.; Zhang, L.; Zhang, Z. Removal of Rhodamine B from aqueous solution using magnetic NiFe nanoparticles. Water Sci. Technol. 2015, 72, 1243−1249. (28) Chen, Y.; Luo, X.; Yue, G.-H.; Luo, X.; Peng, D.-L. Synthesis of iron−nickel nanoparticles via a nonaqueous organometallic route. Mater. Chem. Phys. 2009, 113, 412−416. (29) Pankhurst, Q. A.; Connolly, J.; Jones, S. K.; Dobson, J. Applications of magnetic nanoparticles in biomedicine. J. Phys. D: Appl. Phys. 2003, 36, R167−R181. (30) Ohno, T. Growth of Small Particles of Iron-Nickel Alloys Prepared by Gas-Evaporation Technique. Jpn. J. Appl. Phys. 1993, 32, 4648. (31) Li, X. G.; Chiba, A.; Takahashi, S. Preparation and magnetic properties of ultrafine particles of Fe-Ni alloys. J. Magn. Magn. Mater. 1997, 170, 339−345. (32) Dong, X. L.; Zhang, Z. D.; Zhao, X. G.; Chuang, Y. C.; Jin, S. R.; Sun, W. M. The preparation and characterization of ultrafine Fe− Ni particles. J. Mater. Res. 1999, 14, 398−406. (33) Suh, Y. J.; Jang, H. D.; Chang, H.; Kim, W. B.; Kim, H. C. Sizecontrolled synthesis of Fe−Ni alloy nanoparticles by hydrogen reduction of metal chlorides. Powder Technol. 2006, 161, 196−201. (34) Gurmen, S.; Ebin, B.; Stopić, S.; Friedrich, B. Nanocrystalline spherical iron−nickel (Fe-Ni) alloy particles prepared by ultrasonic spray pyrolysis and hydrogen reduction (USP-HR). J. Alloys Compd. 2009, 480, 529−533. (35) Liu, Y.; Qin, X.-y.; Qiu, T. Magnetic properties of nanostructural γ-Ni-28Fe alloy. Trans. Nonferrous Met. Soc. China 2006, 16, 1370. (36) Azizi, A.; Sadrnezhaad, S. K. Synthesis of Fe−Ni nano-particles by low-temperature hydrogen reduction of mechanically alloyed Niferrite. J. Alloys Compd. 2009, 485, 484−487. (37) Gheisari, K.; Shahriari, S.; Javadpour, S. Structural evolution and magnetic properties of nanocrystalline 50 Permalloy powders prepared by mechanical alloying. J. Alloys Compd. 2013, 574, 71−82. (38) Liu, Y.; Chi, Y.; Shan, S.; Yin, J.; Luo, J.; Zhong, C.-J. Characterization of magnetic NiFe nanoparticles with controlled bimetallic composition. J. Alloys Compd. 2014, 587, 260−266. (39) Ge, F.; Chen, L.; Ku, W.; Zhu, J. Structural and magnetic properties of carbonyl Fe-Ni nanometer particlesStructural and magnetic properties of carbonyl Fe-. Nanostruct. Mater. 1997, 8, 703−709. (40) Shafi, K. V. P. M.; Gedanken, A.; Goldfarb, R. B.; Felner, I. Sonochemical preparation of nanosized amorphous Fe-Ni alloys. J. Appl. Phys. 1997, 81, 6901−6905. (41) Nørskov, J. K. Covalent effects in the effective-medium theory of chemical binding: Hydrogen heats of solution in the 3dmetals. Phys. Rev. B: Condens. Matter Mater. Phys. 1982, 26, 2875. (42) Finnis, M. W.; Sinclair, J. E. A simple empirical N-body potential for transition metals. Philos. Mag. A 1984, 50, 45−55. (43) Rosato, V.; Guillope, M.; Legrand, B. Thermodynamical and structural properties of FCC. transition metals using a simple tightbinding model. Philos. Mag. A 1989, 59, 321−336. (44) Sutton, A. P.; Chen, J. Long-range Finnis−Sinclair potentials. Philos. Mag. Lett. Lett 1990, 61, 139−146. (45) Rafii-Tabar, H.; Sulton, A. P. Long-range Finnis-Sinclair potentials for f.c.c. metallic alloys. Philos. Mag. Lett. 1991, 63, 217− 224. (46) Kadau, K.; Entel, P.; Germann, T. C.; Lomdahl, P. S.; Holian, B. L. Large-scale molecular-dynamics study of the nucleation process of martensite in Fe-Ni alloys. J. Phys. 2001, 11, Pr8−Pr17. (47) Daw, M. S.; Baskes, M. I. Semiempirical, Quantum Mechanical Calculation of Hydrogen Embrittlement in Metals. Phys. Rev. Lett. 1983, 50, 1285. (48) Meyer, R.; Entel, P. Martensite-austenite transition and phonon dispersion curves of Fe1−xNix studied by molecular-dynamics simulations. Phys. Rev. B: Condens. Matter Mater. Phys. 1998, 57, 5140. (49) Baskes, M. I.; Asta, M.; Srinivasan, S. G. Determining the range of forces in empirical many-body potentials using first-principles calculations. Philos. Mag. A 2001, 81, 991.

(50) Mishin, Y.; Mehl, M. J.; Papaconstantopoulos, D. A.; Voter, A. F.; Kress, J. D. Structural stability and lattice defects in copper: Ab initio, tight-binding, and embedded-atom calculations. Phys. Rev. B: Condens. Matter Mater. Phys. 2001, 63, 224106. (51) Mishin, Y.; Mehl, M. J.; Papaconstantopoulos, D. A. Embedded-atom potential for B2−NiAl. Phys. Rev. B: Condens. Matter Mater. Phys. 2002, 65, 224114. (52) Li, Y.; Siegel, D. J.; Adams, J. B.; Liu, X. Y. Embedded-atommethod tantalum potential developed by the force-matching method. Phys. Rev. B: Condens. Matter Mater. Phys. 2003, 67, 125101. (53) Zope, R. R.; Mishin, Y. Interatomic potentials for atomistic simulations of the Ti-Al system. Phys. Rev. B: Condens. Matter Mater. Phys. 2003, 68, 024102. (54) Mishin, Y. Atomistic modeling of the γ and γ′-phases of the Ni−Al system. Acta Mater. 2004, 52, 1451−1467. (55) Pepper, W.; Acet, M. Constitution and Magnetism of Iron and Its Alloys; Springer: Berlin, 2001. (56) Acet, M.; Schneider, T.; Wassermann, E. F. Magnetic Aspects of Martensitic Transformations in FeNi Alloys. J. Phys. 1995, 05, C2. (57) McAdon, M. H.; Goddard, W. A., III. Generalized valence bond studies of metallic bonding: naked clusters and applications to bulk metals. J. Phys. Chem. 1987, 91, 2607. (58) Li, M.; Goddard, W. A., III. Interstitial-electron model for lattice dynamics in fcc metals”. Phys. Rev. B: Condens. Matter Mater. Phys. 1989, 40, 12155. (59) Xie, Z.-Y.; Farkas, D. Atomistic structure and lattice effects of vacancies in Ni-Al intermetallics. J. Mater. Res. 1994, 9, 875. (60) Walter, J. L.; King, A. H.; Tangri, K. Structure Properties Relationships for Interfaces; ASM, 1991. (61) Farkas, D. Free Surfaces. Intermetallic Compounds: Principles and Practice, 1994; Vol. 1, pp 609−622. (62) Asta, M.; Foiles, S. M. Embedded-atom-method effective-pairinteraction study of the structural and thermodynamic properties of Cu-Ni, Cu-Ag, and Au-Ni solid solutions. Phys. Rev. B: Condens. Matter Mater. Phys. 1996, 53, 2389. (63) Blaha, P.; Schwarz, K.; Madsen, G. K. H.; Kvasnicka; Luitz, J. WIEN2k, An Augmented Plane Wave + Local Orbitals Program for Calculating Crystal Properties; Karlheinz Schwarz, Techn. University of Vienna: Austria, 2001. (64) Fleischer, R. L. Intermetallic Compounds; Japan Institute of Metal: Sendai, 1991; p 157. (65) Grujicic, M.; Dang, P. Computer simulation of martensitic transformation in Fe-Ni face-centered cubic alloys. Mater. Sci. Eng., A 1995, 201, 194−204. (66) Grujicic, M.; Lai, S. G.; Gumbsch, P. Atomistic simulation study of the effect of martensitic transformation volume change on crack-tip material evolution and fracture toughness. Mater. Sci. Eng., A 1997, 231, 151−162. (67) Lavrentiev, M. Y.; Wróbel, J. S.; Nguyen-Manh, D.; Dudarev, S. L. Magnetic and thermodynamic properties of face-centered cubic Fe−Ni alloys. Phys. Chem. Chem. Phys. 2014, 16, 16049. (68) Mirtin, V. V.; Sementsov, D. I.; Vagidov, N. Z. Quantum Mechanics for Nanostructures; Cambridge University Press, 2010. (69) Kart, H. H.; Tomak, M.; Uludoğ an, M.; Ç ağ ı n, T. Thermodynamical and mechanical properties of Pd−Ag alloys. Comput. Mater. Sci. 2005, 32, 107−117. (70) Martin, T. P. Shells of atoms. Phys. Rep. 1996, 273, 199−241. (71) Sutton, A. P.; Chen, J. Long-range Finnis−Sinclair potentials. Philos. Mag. Lett. 1990, 61, 139−146. (72) Qi, Y.; Ç ağin, T.; Johnson, W. L.; Goddard, W. A., III Melting and crystallization in Ni nanoclusters: The mesoscale regime. J. Chem. Phys. 2001, 115, 385−394. (73) Tsuzuki, H.; Branicio, P. S.; Rino, J. P. Structural characterization of deformed crystals by analysis of common atomic neighborhood. Comput. Phys. Commun. 2007, 177, 518−523. (74) Nosé, S. A unified formulation of the constant temperature molecular dynamics methods. J. Chem. Phys. 1984, 81, 511−519. (75) Farkas, L. Keimbildungsgeschwindigkeit in ü bersättigten Dämpfen. Z. Phys. Chem. 1927, 125U, 236−242. G

DOI: 10.1021/acsomega.9b02050 ACS Omega XXXX, XXX, XXX−XXX

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(76) Sun, X.; Susac, D.; Li, R.; Wong, K. C.; Foster, T.; Mitchell, K. A. R. Some observations for effects of copper on zinc phosphate conversion coatings on aluminum surfaces. Surf. Coat. Technol. 2002, 155, 46−50. (77) Sopousek, J.; Vrestal, J.; Pinkas, J.; Broz, P.; Bursik, J.; Styskalik, A.; Skoda, D.; Zobac, O.; Lee, J. Cu−Ni nanoalloy phase diagram − Prediction and experiment. CALPHAD: Comput. Coupling Phase Diagrams Thermochem. 2014, 45, 33−39. (78) Korneva, A.; Straumal, B.; Kilmametov, A.; Chulist, R.; Cios, G.; Baretzky, B.; Zieba, P. Dissolution of Ag Precipitates in the Cu− 8wt.%Ag Alloy Deformed by High Pressure Torsion. Materials 2019, 12, 447.

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DOI: 10.1021/acsomega.9b02050 ACS Omega XXXX, XXX, XXX−XXX