Next Article in Journal
Gold Nanoparticle-Enhanced Production of Reactive Oxygen Species for Radiotherapy and Phototherapy
Previous Article in Journal
The Existence and Stability Mechanism of Bulk Nanobubbles: A Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Perspective

A Comparison Between Ripening Under a Constant Volume and Ripening Under a Constant Surface Area

1
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong
2
Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong
3
Department of Physics, Cherkasy National University, 81 Shevchenko Blvd., 18000 Cherkasy, Ukraine
4
Ensemble3 Centre of Excellence, 133 Wolzcynska Street, 01-919 Warsaw, Poland
5
Institute for Advanced Marine Research, China University of Geosciences, Guangzhou 511462, China
*
Author to whom correspondence should be addressed.
Nanomaterials 2025, 15(4), 316; https://doi.org/10.3390/nano15040316
Submission received: 11 December 2024 / Revised: 11 February 2025 / Accepted: 17 February 2025 / Published: 19 February 2025
(This article belongs to the Section Nanophotonics Materials and Devices)

Abstract

:
The classic Lifshitz–Slyozov–Wagner (LSW) theory of ripening assumes a constant volume. In comparison, we present here a model of ripening assuming a constant surface area, which has occurred in the microstructure changes in intermetallic compounds in micro-bump for 3D integrated-circuit (IC) technology in consumer electronic products. However, to keep a constant surface area requires the growth of the volume. Furthermore, in 3D IC technology, the kinetics is affected by electrical charges flowing in and out of the system. Due to Joule heating and electromigration, heat flux and atomic flux can occur together. The kinetic modes of failure changes are given here, as well as the mean-time-to-failure equations based on entropy production.

By definition, a flux of moving atoms has to be driven by a chemical potential gradient. Typically, we consider the temperature gradient in thermomigration, pressure (stress) gradient in stress migration, as well as electrical potential gradient in electromigration. In electromigration, atoms will diffuse along the electron flow direction, leading to atomic loss at the cathode end, while intermetallic compound (IMC) formation at the anode end. As a result, the resistance of the interconnect increases. The industrial field usually defines the resistance increases of 20% as an electromigration failure criterion. Furthermore, volume shrinkage occurs when IMCs form, resulting in crack/void formation. However, electromigration occurs in open systems because of the in-and-out of charges. On the other hand, in a classical phase transformation, such as precipitation, it occurs in a closed system [1,2,3,4,5]. The rate process in a classical phase transformation can be diffusion-limited or interfacial-reaction-limited. However, in an open system, it is typically supply-limited [6].
Many papers have investigated the ripening phenomenon [7,8]. The first literature on ripening in flux-driven reaction (FDR) was about the reaction between liquid-state eutectic SnPb and solid-state Cu to form the scallop-type IMC of Cu6Sn5 after reflow for 1 min at 200 °C. The liquid channel between two scallops provides Cu atoms with rapid diffusion paths, leading to the ripening of the scallop-type Cu6Sn5. Therefore, it is a flux-driven ripening. Figure 1 shows the cross-sectional view of semi-spherical scallops in a circular solder cap on a Cu surface. There is a deep channel between two scallops. These channels are not grain boundaries, and they allow Cu to diffuse rapidly to the solder to grow the scallops by ripening.
What is unique in the above figure is that the scallops do not become a “diffusion barrier” to the subsequent growth of scallops. This is unlike the layer-type growth of an IMC, which will become a diffusion-barrier to its subsequent growth. We note that, in the manufacturing of 3D IC technology, several reflows of solder joints are required. During each reflow, the growth of scallops continues to occur by ripening. Therefore, the scallop-type growth of IMCs is essential in solder joint technology.
A critically important parameter, which controls the kinetics of ripening of scallops, is that the total surface area of all the scallops remains constant, which is equal to twice of the bottom contact area of the solder cap. In the classical theory of Lifshitz–Slyozov–Wagner (LSW) ripening, the total volume of all the precipitates is assumed to be constant. In the ripening of solder scallops, the total surface area of all the scallops, assuming a hemispherical shape, is constant, which is twice of the contact area, or it is equal to the surface area of the largest half sphere. The theory of non-conservative ripening with a constant surface area has been published elsewhere [6]. Here, we make a comparison between the ripening under a constant volume and the ripening under a constant surface area.
Many studies on electromigration have been conducted to find out its failure mechanism or predict its lifetime [9,10,11]. Now, we consider electrical conduction of a pure metal wire under a constant temperature and a constant pressure. We obtain TdS = dU, from the first law of thermodynamics, where the unit of electric energy “dU” is “eV” or charge times voltage. In the equation below, jAdt is the charge, Δ φ is the voltage drop, and Δx is the size of the interconnect where electrons flow.
T d S = d U = j A d t Δ φ = j A d t [ φ ( x ) φ ( x + Δ x ) ] = j V d t [ φ ( x + Δ x ) φ ( x ) Δ x ] = j V d t [ d φ d x ]
T d S V d t = j [ d φ d x ] = j E = j 2 ρ
where dS/dt is rate of entropy production, T is absolute temperature, V is volume of the test sample, j is current density, Φ is voltage, E is electric field, and ρ is resistivity.
In the above, we obtained the power of Joule heating (P = I2R = j2ρV, where I is current and R is resistance). This is also Onsager’s equation of entropy production. Onsager defined the conjugate forces X and fluxes J so that their product, JX, is equal to temperature T, multiplied by the entropy production rate, “dS/dt”.
T V d S d t = J X
where V is volume. By rearrangement, we have in electromigration,
J e X e t f a i l u r e = T S t h r e s h o l d / V
We treat MTTF as the time to accumulate some threshold entropy, Sthreshold. Therefore, for electromigration, its mean-time-to-failure (MTTF) equation is given below [12],
M T T F = A j n e x p ( E a k T ) = t f a i l u r e = T S t h r e s h o l d V J e X e = A 1 j 2 1 D = A j 2 exp ( E a k T )
where A is pre-factor, n is the current density power factor, D is diffusivity, k is the Boltzmann constant, and Ea is activation energy. Owing to the fact that in the above equation, n = 2 has been derived theoretically, furthermore, the activation energy (Ea) in a typical material, such as solder joint, is known, so that the only one unknown parameter in the above equation is the pre-factor A, which means that we will only need to perform 1T1j experiment to determine it. This means that we have greatly simplified the experimental study of the MTTF equation.
Table 1 below shows a direct comparison between the two processes. In constant volume ripening in a closed system, the total surface area decreases as ripening occurs; for example, in the joining of two rain drops under a wire, it is the reduction in surface energy that drives the phase transformation. However, in constant surface area ripening in an open system, the total volume increases, which is driven by the increase in bulk free energy.
In summary, examples of flux-driven phase transformations in an open system, with electrical charges flowing in and out, have been presented. What is new in flux-driven phase transformations, as compared to the classical phase transformations, is in the kinetic processes rather than in the driving forces. While we have atomic flux, heat flux, and charge flux, it is their cross-effects which tend to have significance on the reliability of micro-electronic devices. What is worth mentioning is that, in the flux-driven growth of scallop-type Cu-Sn intermetallic compounds during solder joint formation, its growth does not become a diffusion barrier to its subsequent growth. It enables us to apply multiple reflows of solder joints, which is required in the manufacturing of advanced packaging technology. Finally, it is worth mentioning again that, in LSW theory of ripening, the total volume is assumed to be constant. However, in the ripening theory presented here, as shown in Ref. [6], the total surface area is assumed to be constant.

Funding

This research was funded by the CityU Strategic Research Grant (No. 7005868), the Contract Research (No. 9239080 and No. 9239081), the Donations for Research Projects (No. 9229091 and No. 9229092), the CityU Startup Grant for Professor (No. 9380135), the Guangzhou Nansha District Science and Technology Project (No. 2024ZD010), and the National Natural Science Foundation of China (No. 52302032). The authors would like to thank the “ENSEMBLE3-Center of Excellence for nanophononics, advanced materials and novel crystal growth-based technologies” project (GA No. MAB/2020/14) carried out under the International Research Agenda programs of the Foundation for Polish Science, co-financed by the European Union under the European Regional Development Fund and the European Union Horizon 2020 research and innovation program Teaming for Excellence (GA. No. 857543), for supporting this work. The publication was created as part of the project of the Minister of Science and Higher Education “Support for the activities of Centers of Excellence established in Poland under the Horizon 2020 program” under contract No. MEiN/2023/DIR/3797.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cahn, J.W. The kinetics of cellular segregation reactions. Acta Met. 1959, 7, 8. [Google Scholar] [CrossRef]
  2. Tu, K.N.; Turnbull, D. Analysis of kinetics of boundary diffusion limited cellular precipitation. Scr. Metall. 1967, 1, 173. [Google Scholar] [CrossRef]
  3. Christian, J.W. The Theory of Transformation in Metals and Alloys, Part 1 Equilibrium and General Kinetic Theory, 2nd ed.; Pergamon Press: Oxford, UK, 1975. [Google Scholar]
  4. Shewmon, P.G. Transformations in Metals; Indo American Books: Delhi, India, 2006. [Google Scholar]
  5. Porter, D.A.; Easterling, K.E. Phase Transformations in Metals and Alloys; Chapman & Hall: London, UK, 1992. [Google Scholar]
  6. Gusak, A.M.; Tu, K.N. Kinetic theory of flux driven ripening. Phys. Rev. B. 2002, 66, 115403. [Google Scholar] [CrossRef]
  7. Kang, S.-J.L.; Yoon, D.N. Methods for analysing the experimental data of Ostwald ripening. J. Mater. Sci. Lett. 1983, 2, 291–294. [Google Scholar] [CrossRef]
  8. Park, Y.; Hanson, B. Experimental investigation of Ostwald-ripening rates of forsterite in the haplobasaltic system. J. Volcanol. Geotherm. Res. 1999, 90, 103–113. [Google Scholar] [CrossRef]
  9. Sorbello, R.S. Theory of electromigration. Solid State Phys. 1998, 51, 159–231. [Google Scholar]
  10. Mukherjee, A.; Ankit, K.; Selzer, M.; Nestler, B. Phase-field modelling of electromigration-induced intergranular slit propagation in metal interconnects. Comput. Mater. Sci. 2023, 228, 112330. [Google Scholar] [CrossRef]
  11. Yao, Y.; Lu, Z.; An, Y.; Tu, K.N.; Liu, Y. Counteracting effect of Sn grain orientation on current crowding in electromigration failures of solder joints. Electron. Mater. Lett. 2025, 21, 134–143. [Google Scholar] [CrossRef]
  12. Tu, K.N.; Gusak, A.M. A unified model of mean-time-to-failure for electromigration, thermomigration, and stress-migration based on entropy production. J. Appl. Phys. 2019, 126, 075109. [Google Scholar] [CrossRef]
Figure 1. The cross-sectional view of semi-spherical scallops in a circular solder cap on a Cu surface.
Figure 1. The cross-sectional view of semi-spherical scallops in a circular solder cap on a Cu surface.
Nanomaterials 15 00316 g001
Table 1. A comparison between constant volume ripening and constant surface area ripening.
Table 1. A comparison between constant volume ripening and constant surface area ripening.
Constant Volume RipeningConstant Surface Area Ripening
Total VolumeConstantIncrease
Total Surface AreaIncreaseConstant
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tu, K.-N.; Gusak, A.M.; Sun, Q.; Yao, Y. A Comparison Between Ripening Under a Constant Volume and Ripening Under a Constant Surface Area. Nanomaterials 2025, 15, 316. https://doi.org/10.3390/nano15040316

AMA Style

Tu K-N, Gusak AM, Sun Q, Yao Y. A Comparison Between Ripening Under a Constant Volume and Ripening Under a Constant Surface Area. Nanomaterials. 2025; 15(4):316. https://doi.org/10.3390/nano15040316

Chicago/Turabian Style

Tu, King-Ning, Andriy M. Gusak, Qinglei Sun, and Yifan Yao. 2025. "A Comparison Between Ripening Under a Constant Volume and Ripening Under a Constant Surface Area" Nanomaterials 15, no. 4: 316. https://doi.org/10.3390/nano15040316

APA Style

Tu, K.-N., Gusak, A. M., Sun, Q., & Yao, Y. (2025). A Comparison Between Ripening Under a Constant Volume and Ripening Under a Constant Surface Area. Nanomaterials, 15(4), 316. https://doi.org/10.3390/nano15040316

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop