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  • Hexagonal Close-packed Structure
  • Hands-on Practice
  • Problem 1
  • Problem 2
  • Problem 3
  • What to Learn Next

Hexagonal Close-packed Structure

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Definition

Hexagonal Close-packed Structure is a type of crystal lattice in materials science characterized by an ABAB... stacking sequence that achieves a maximum theoretical packing density of approximately 74%. This structure exhibits inherent anisotropy in physical properties such as strength and thermal expansion, particularly in metals like zinc and titanium where the height-to-width ratio deviates from the ideal value of 1.633. Deformation within this arrangement typically occurs through slip along the densest (0001) basal planes, and its symmetry is formally described using Miller-Bravais notation.

Key Takeaways
  • The hexagonal close-packed (HCP) structure is defined by an ABAB... stacking sequence of atomic layers, which is one of two ways to achieve the maximum possible packing density of ~74% for identical spheres.
  • An ideal HCP lattice has a constant height-to-width ratio (c/a≈1.633c/a \approx 1.633c/a≈1.633), and real-world deviations from this value explain the unique properties and anisotropy of metals like zinc and titanium.
  • The inherent directionality, or anisotropy, of the HCP structure means that physical properties like strength, thermal expansion, and electrical resistivity are different along different crystal axes.
  • Deformation in HCP metals primarily occurs through slip along the densest basal planes, (0001), and the crystal's symmetry is most accurately described using the four-index Miller-Bravais notation.

Introduction

The arrangement of atoms in a solid is the fundamental blueprint that dictates its properties, from strength and ductility to electrical conductivity. Among nature's preferred designs for densely packing atoms is the hexagonal close-packed (HCP) structure, found in many important metals like magnesium, titanium, and zinc. Yet, a simple question arises: how does this single, repeating atomic pattern give rise to such a rich and diverse range of behaviors observed in real materials? This article addresses the gap between the simple geometry of stacked spheres and the complex, anisotropic world of real-world metals.

This article will guide you on a journey from first principles to practical applications. First, in "Principles and Mechanisms," we will build the HCP structure from the ground up, deriving its ideal geometric properties and exploring the formal language physicists use to describe it. Next, in "Applications and Interdisciplinary Connections," we will see how this microscopic model directly explains macroscopic phenomena, from how a crystal deforms to why certain alloys form, connecting the topic to materials science, chemistry, and electronics. Finally, "Hands-On Practices" will provide you with the opportunity to apply these concepts and solidify your understanding through targeted problems.

Principles and Mechanisms

Imagine you are at a grocery store, tasked with stacking oranges as tightly as possible. You’d probably start by arranging a flat layer where each orange touches six of its neighbors in a beautiful hexagonal pattern. This, in essence, is the starting point for understanding one of nature's favorite ways of arranging atoms: the hexagonal close-packed (HCP) structure. In this chapter, we'll journey from this simple picture to the deep principles that govern the properties of many common metals, like magnesium, zinc, and titanium.

The Grocer’s Puzzle: Stacking Spheres

Let’s stick with our oranges, which we’ll model as perfect, hard spheres of radius RRR. In our first flat layer, the centers of any two touching oranges are separated by a distance of twice the radius. This fundamental distance, which defines the repeat pattern in the plane, is what crystallographers call the lattice parameter aaa. So, right away, we have a simple but crucial relationship: a=2Ra = 2Ra=2R.

Now, where do you place the second layer? To be as efficient as possible, you wouldn't put the next layer of oranges directly on top of the first—that would be terribly unstable and leave large gaps. Instead, you would nestle them into the triangular hollows formed by three adjacent oranges in the layer below. Look closely at the first layer (let’s call it Layer A). You'll notice there are two distinct sets of these hollows. If you place the second layer (Layer B) in one set of these hollows, you've made your first step towards building a close-packed structure.

The question then becomes: where does the third layer go? You have two choices. You could place it in the remaining set of hollows that were left uncovered by Layer B, creating an ABCABC... sequence. This results in a structure called face-centered cubic (FCC), another story for another day. But if you place the third layer directly above the first layer—in the same position as Layer A—you create an ABAB... stacking sequence. This repeating pattern is the very definition of the hexagonal close-packed structure.

The Magic Ratio of Close Packing

We've stacked our layers, creating a three-dimensional crystal. We already know its width, characterized by the parameter aaa. But how tall is it? We need to find the height of the full repeating unit, which is the distance from the center of an orange in the first A-layer to the center of the one directly above it in the next A-layer. This height is called the lattice parameter ccc.

To find it, let's zoom in on a single sphere in Layer B. It sits cozily in a pocket formed by three spheres in Layer A. The centers of these four spheres—one in Layer B and three in Layer A—form a perfect tetrahedron​, a pyramid with four triangular faces. Because every sphere is touching its neighbors, every edge of this tetrahedron has the same length, which is, of course, the distance between the centers of two touching spheres, aaa.

The height difference between Layer A and Layer B is simply the height of this tetrahedron. A little bit of geometry (the kind you might use to find the height of a pyramid) reveals that this inter-layer height is a2/3a\sqrt{2/3}a2/3​. Since the full unit cell height, ccc, spans two of these layers (from A to the next A), we have c=2×a2/3c = 2 \times a\sqrt{2/3}c=2×a2/3​. This gives us a profound result for the ideal packing of spheres. The ratio of the height to the width of the unit cell is not arbitrary; it's a fixed number:

ca=223=83≈1.633\frac{c}{a} = 2\sqrt{\frac{2}{3}} = \sqrt{\frac{8}{3}} \approx 1.633ac​=232​​=38​​≈1.633

This isn't just a random number; it's a constant of geometry, the "magic ratio" for ideal hexagonal packing. Any deviation from this ratio in a real material tells us that something more interesting than just stacking hard balls is going on.

With this ideal geometry, let's ask another simple question: how many immediate neighbors does any given atom have? Within its own layer, it has six. In the layer above, it contacts three, and in the layer below, it contacts another three. This gives a total of 6+3+3=126 + 3 + 3 = 126+3+3=12 nearest neighbors, what's known as the coordination number. In an ideal HCP structure, because of this perfect c/ac/ac/a ratio, the distance to all 12 of these neighbors is exactly the same: aaa. Nature, in its quest for efficiency, has created a beautifully symmetric environment.

How Full is Full? The Packing Limit

So, just how efficient is this packing arrangement? If we fill a large box with our spheres in an HCP structure, what fraction of the box's volume is actually filled by the spheres, and how much is just empty space? This fraction is called the Atomic Packing Factor (APF).

To calculate it, we need to know two things: the total volume of atoms inside one of our hexagonal unit cells, and the volume of the unit cell itself. A careful count reveals that the conventional HCP unit cell contains exactly 6 full atoms' worth of volume. So, if each atom has a volume of 43πR3\frac{4}{3}\pi R^334​πR3, the total atomic volume is 6×43πR3=8πR36 \times \frac{4}{3}\pi R^3 = 8\pi R^36×34​πR3=8πR3. The volume of the hexagonal prism unit cell is its base area times its height, ccc. When we work through the math, expressing everything in terms of the atomic radius RRR and using our ideal ratio c/a=8/3c/a = \sqrt{8/3}c/a=8/3​, we find something remarkable:

APFideal=π32≈0.74048...\text{APF}_{\text{ideal}} = \frac{\pi}{3\sqrt{2}} \approx 0.74048...APFideal​=32​π​≈0.74048...

This value, about 74%, turns out to be the absolute maximum density that can be achieved by packing identical spheres. This was conjectured by Johannes Kepler in 1611 (in the context of stacking cannonballs!) and was only rigorously proven in 1998. The HCP structure is one of nature's two solutions to achieving this maximum packing density. There is literally no way to pack identical spheres tighter.

The Physicist's Language: Lattices, Bases, and Symmetry

Our intuitive picture of stacking spheres is powerful, but for a deeper analysis, physicists use a more formal language. A crystal structure is described by two components: a lattice and a basis​. The lattice is an infinite, abstract grid of points in space, and the basis is the group of atoms or molecules that we place at every single one of those lattice points.

It’s a common misconception that the HCP structure is itself a fundamental lattice (a Bravais lattice). It is not. The underlying lattice is the much simpler simple hexagonal lattice​. The HCP structure is created by taking this simple hexagonal lattice and attaching a two-atom basis to each lattice point. The first atom of the basis sits at the lattice point, say at coordinates (0,0,0)(0, 0, 0)(0,0,0). The second atom is shifted by a specific amount, located at fractional coordinates of (13,23,12)(\frac{1}{3}, \frac{2}{3}, \frac{1}{2})(31​,32​,21​). This fractional shift perfectly describes moving one third of the way along one basal axis, two thirds along the other, and halfway up the cell—exactly the position needed to nestle into the hollow of the layer below.

This formal language also demands a precise way to identify different planes of atoms within the crystal. For many crystals, a simple three-index (hkl)(hkl)(hkl) Miller system works well. But for hexagonal systems, scientists almost universally use a four-index Miller-Bravais system (hkil)(hkil)(hkil). Why the extra complication? Does it have a deep physical reason? Yes, absolutely! The reason is symmetry​. A hexagonal crystal looks the same after a 60° or 120° rotation around its ccc-axis. The four-index notation is cleverly designed so that planes that are physically equivalent by these rotations also have indices that look related (they are simple permutations of each other). A three-index system would label these identical planes with numbers that look completely different, hiding the beautiful underlying symmetry. It’s a perfect example of physicists inventing a language not to be more complex, but to be more truthful to the nature of the object they are describing.

The Real World's Wrinkles: Anisotropy and Imperfection

Our ideal model of hard spheres is a wonderful starting point, but real atoms are not hard spheres. They are fuzzy quantum objects whose interactions are governed by complex bonding forces. This is where the story gets really interesting, because the deviations of real materials from our ideal model tell us a great deal.

One of the most defining features of the HCP structure is its anisotropy​. The crystal is not the same in all directions. The atomic arrangement in the flat basal planes is very different from the arrangement along the vertical ccc-axis. We can even quantify this. The linear density of atoms—how many atomic centers you cross per meter—is higher along the close-packed rows in the basal plane than it is along the ccc-axis. Their ratio is, not surprisingly, equal to the c/ac/ac/a ratio. This structural anisotropy means physical properties like electrical resistivity, thermal expansion, and the speed of sound will be different depending on the direction you measure them. The material has a "grain," much like a piece of wood.

Many HCP metals do not have the ideal c/ac/ac/a ratio of 1.633. For example, zinc (Zn) and cadmium (Cd) have ratios around 1.86 and 1.89, respectively, meaning their unit cells are elongated along the ccc-axis. In contrast, magnesium (Mg) at 1.624 and titanium (Ti) at 1.587 have ratios slightly less than ideal, meaning they are compressed. These deviations happen because the true energy minimum for the crystal depends on the details of electronic bonding, which our simple "hard sphere" model doesn't capture.

What are the consequences of being non-ideal? First, the packing efficiency drops. For zinc, with its stretched-out unit cell, the volume is larger for the same number of atoms, and its APF falls from the ideal 74% down to about 65%. Second, the beautiful local symmetry is broken. The 12 "nearest" neighbors are no longer all at the same distance. The 6 neighbors in the basal plane remain at distance aaa, but the 6 out-of-plane neighbors (3 above, 3 below) are now at a different distance. For zinc, these out-of-plane neighbors are farther away, meaning the bonds within the hexagonal sheets are stronger than the bonds between them. This helps explain why zinc is brittle and can be easily cleaved along its basal planes. We can precisely calculate these two different neighbor distances if we know the material's c/ac/ac/a ratio.

So we see a beautiful progression. We start with a simple, ideal model. We discover its elegant geometric properties and its status as a maximally dense structure. Then, we observe how real materials deviate from this ideal. These very deviations, which our model allows us to quantify, open the door to understanding the richer and more complex behavior of real-world materials. The perfect model isn't the final answer; it's the perfect key for unlocking the next level of understanding.

Applications and Interdisciplinary Connections

Now that we have taken apart the hexagonal close-packed (HCP) structure and understood its beautiful geometric principles, let us put it back together. Let's see how this simple pattern of stacking spheres, A-B-A-B, blossoms into a rich and complex tapestry of properties that we can observe, measure, and engineer in the real world. You see, the true magic of physics is not just in discovering the rules, but in seeing how they play out on the grand stage of nature. From the glint of a metal to the strength of a jet engine turbine blade, the echoes of the HCP lattice are everywhere.

The Crystal's Fingerprint and Anisotropic World

How do we even know a material, say a piece of zinc or titanium, has an HCP structure? We can't just look at it with a microscope. The atoms are too small, their dance too subtle. The answer is that we can listen to the crystal's music. We do this by shining X-rays on it. The orderly rows of atoms act like a fantastically precise diffraction grating, scattering the X-rays into a unique pattern of bright spots. By measuring the angles of these spots, a technique called X-ray diffraction, we can work backward and deduce the exact spacing between the atomic planes.

But it's more than just a measurement. The pattern is a true "fingerprint" of the crystal. For the HCP structure, the A-B-A-B stacking, with its two-atom basis, introduces a subtle cancellation. For certain directions, the waves scattered from the 'B' layer destructively interfere with those from the 'A' layer. This results in "systematically absent" reflections—spots in the diffraction pattern that are simply missing. Finding that the (0003)(0003)(0003) reflection, for instance, is gone while the (0002)(0002)(0002) is present, is not a failure of the experiment; it's a profound clue, a whispered secret from the crystal telling us precisely how its layers are stacked.

Once we've "fingerprinted" the crystal and measured its fundamental lattice parameters, aaa and ccc, an amazing thing happens. We can start predicting its macroscopic properties from the ground up. The most basic of these is density. By simply counting the number of atoms in our geometric unit cell (six, as it turns out) and calculating the cell's volume from aaa and ccc, we can compute the theoretical density of the material with astonishing accuracy. The microscopic arrangement directly dictates the bulk property we can feel when we hold the material in our hand.

This is where the story gets really interesting. Unlike a simple cubic crystal, which looks the same from many directions, the HCP structure has a special direction: the ccc-axis. This inherent directionality, or anisotropy​, means the crystal behaves differently depending on how you look at it. If you pull on an HCP crystal along its ccc-axis, its resistance to stretching (its Young's modulus) will be different than if you pull it along a direction in the basal plane. This isn't magic; it's a direct consequence of the different bonding and atomic arrangements in those directions, all captured in a set of elastic constants. The same is true for temperature. When you heat a crystal of cadmium, it expands more along its ccc-axis than it does in the basal plane. This anisotropic thermal expansion means the crystal's very shape, its axial ratio c/ac/ac/a, changes with temperature. The crystal has a "grain," much like a piece of wood, imprinted upon it by its atomic architecture.

The Dance of Atoms: Deformation and Defects

A perfect crystal is a beautiful idea, but a boring one. A real crystal that you can bend, shape, or break is one that's full of imperfections. The way a crystal deforms is one of the most elegant dances in all of materials science, and its choreography is dictated entirely by the underlying lattice.

When you try to permanently deform a metal, you are not compressing the atoms. Instead, you are forcing whole planes of atoms to slide over one another. This process is called slip. Naturally, the atoms will choose the path of least resistance. They will slide along the planes that are most densely packed and most widely separated. In the HCP structure, there is one set of planes that stands out as the densest of all: the basal planes, with Miller-Bravais indices (0001)(0001)(0001). These planes are the primary "slip planes" for most HCP metals at room temperature. It is far easier for the atoms to glide across these smooth, crowded surfaces than to try to plow through a less dense, bumpier plane.

However, this reliance on a single, easy slip system can be a problem. If you pull on a crystal in a direction where the basal planes are not favorably oriented to slide (for instance, pulling along the ccc-axis), it can be very difficult for the crystal to deform. It has no easy way to yield, and it may simply fracture. This is why a metal like magnesium, with its strong preference for basal slip, tends to be brittle. So, how does a ductile HCP metal like titanium manage to be so formable? It has other tricks up its sleeve.

One of these is activating "harder" slip systems, like slip on pyramidal planes. While this requires more force, it provides the necessary flexibility for the crystal to deform in any direction. The crucial difference between brittle magnesium and ductile titanium lies in the relative ease of activating these non-basal slip systems. Calculations based on the lattice geometry and the intrinsic material property known as the critical resolved shear stress show that it takes significantly less stress to initiate this pyramidal slip in titanium than in magnesium, which helps explain titanium's superior ductility.

Another mechanism is twinning​, where a whole region of the crystal suddenly shears into a new orientation that is a mirror image of the parent lattice. This is not a random rearrangement but a precise, geometric transformation whose magnitude of shear is determined by the crystal's c/ac/ac/a ratio. Twinning provides another crucial way for the crystal to accommodate strain when easy slip is not an option.

Of course, these processes of slip and twinning don't happen everywhere at once. They are mediated by crystalline defects. The most important of these are dislocations​—line defects that move through the crystal, causing slip one atomic row at a time. The character of a dislocation is defined by its Burgers vector, which represents the magnitude and direction of the lattice distortion. For a perfect dislocation, this vector must be a complete lattice translation. So, for a screw dislocation running along the [0001][0001][0001] direction, the shortest possible Burgers vector has a magnitude of exactly ccc, the height of the unit cell. The perfect lattice itself defines the "quantum" of slip! Similarly, a planar defect called a stacking fault can occur if the stacking sequence makes a mistake, for instance, going from ...A-B-A-B-C-B.... Here, an A layer that should have appeared is instead a C layer. This "error" is not random; the displacement vector required to shift an atom from an A-site to a C-site is a precise fraction of the lattice vectors. The geometry of perfection dictates the geometry of imperfection.

A Bridge to Other Worlds

The influence of the HCP structure extends far beyond its mechanical properties, reaching into the realms of electronics, chemistry, and materials design.

Consider this fascinating paradox. The primitive cell of the HCP structure contains two atoms. A divalent metal like magnesium or zinc has two valence electrons per atom. Simple band theory would then suggest there are four valence electrons per primitive cell, just enough to completely fill the first two energy bands. A material with completely filled bands should be an insulator, yet we know magnesium is a good electrical conductor! The solution lies in a beautiful interplay between the real-space lattice and its "reciprocal-space" counterpart, the Brillouin zone. For many HCP metals, the free-electron Fermi sphere—the sphere in momentum space that contains all the electron states—is large enough that it intersects the boundaries of the hexagonal prism-shaped Brillouin zone. This overlap allows electrons to spill into the next energy band, creating unoccupied states for conduction. The metal remains a conductor because its geometry, specifically the c/ac/ac/a ratio, ensures that the energy bands overlap.

The HCP structure is also a critical guide in the world of alloy design. When creating a substitutional solid solution, where one type of atom replaces another in the crystal lattice, a set of guidelines known as the Hume-Rothery rules apply. For extensive solubility, the atoms should be of similar size and have similar electronegativity. But one of the most important rules is that the solvent and solute should have the same crystal structure​. This is why zirconium is an excellent alloying element for titanium in biomedical implants. Both are HCP, have similar valency and electronegativity, and their atomic radii differ by less than 15%. Zirconium atoms can comfortably substitute for titanium atoms without disrupting the underlying HCP lattice, preserving the desirable properties of the α-Ti phase.

Finally, crystal structures are not always permanent. They can transform from one to another in response to changes in temperature or pressure. A classic example is the transformation from the body-centered cubic (BCC) structure to the HCP structure in titanium and its alloys. This is not a chaotic melting and re-freezing. It is a highly disciplined, shear-based transformation known as a martensitic transformation. The famous Burgers orientation relationship describes the precise crystallographic correspondence: the (110)(110)(110) plane of the parent BCC crystal becomes the (0001)(0001)(0001) basal plane of the new HCP crystal, and certain directions within those planes remain parallel. This transformation is like an atomic-scale military drill, where atoms march in a coordinated fashion to assume their new positions, highlighting the deep geometric kinship between different ways of packing spheres.

From a simple pattern of stacked spheres, we have journeyed through the worlds of mechanics, electronics, and chemistry. The hexagonal close-packed structure is more than just a textbook diagram; it is an elegant and powerful blueprint for matter, a testament to the profound unity and beauty that emerges when simple geometric rules govern the assembly of our world.

Hands-on Practice

Problem 1

The hexagonal close-packed (HCP) structure possesses a unique six-fold rotational symmetry in its basal plane that is not fully captured by the standard three-index Miller notation. To accurately represent crystallographically equivalent planes and directions, we use the four-index Miller-Bravais system, (hkil)(hkil)(hkil). This first exercise guides you through the essential conversion from the three-index (hkl)(hkl)(hkl) system to the more descriptive (hkil)(hkil)(hkil) notation, a fundamental skill for analyzing HCP materials.

Problem​: In a materials characterization experiment, a sample of a titanium-based alloy is analyzed using X-ray Diffraction (XRD). The crystal structure of the alloy is known to be hexagonal close-packed (HCP). A specific set of crystallographic planes, which are of interest due to their influence on the material's mechanical properties, produces a distinct diffraction peak. In the conventional three-index Miller notation, these planes are described by the indices (102)(102)(102).

To properly represent the symmetry of the HCP lattice, it is standard practice to use the four-index Miller-Bravais system, denoted as (hkil)(hkil)(hkil). Determine the correct Miller-Bravais indices corresponding to the Miller-indexed planes (102)(102)(102).

Which of the following represents the correct Miller-Bravais indices?

A. (1012)(1012)(1012)

B. (101ˉ2)(10\bar{1}2)(101ˉ2)

C. (202ˉ4)(20\bar{2}4)(202ˉ4)

D. (112ˉ2)(11\bar{2}2)(112ˉ2)

E. (1023ˉ)(102\bar{3})(1023ˉ)

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Problem 2

Beyond the abstract notation of crystal planes lies the tangible arrangement of atoms in space. In an HCP structure, the local atomic environment, and thus many material properties, is highly sensitive to the axial ratio, γ=c/a\gamma = c/aγ=c/a. This practice problem invites you to explore this geometry by calculating the distances to an atom's nearest neighbors, distinguishing between those in the same plane and those in adjacent planes. This will provide a deeper, quantitative understanding of what "close-packed" truly means and how it varies in real materials.

Problem​: A novel synthetic material is found to crystallize in a structure that can be described by a hexagonal lattice. This structure is similar to the hexagonal close-packed (HCP) structure but with a non-ideal ratio between its lattice parameters. The lattice is defined by a parameter aaa, which is the distance between adjacent atoms in the basal plane, and a parameter ccc, which represents the height of the conventional unit cell. Experimental analysis has determined that the ratio of these parameters is ca=γ\frac{c}{a} = \gammaac​=γ.

To model the material's properties, we must first understand its local atomic environment. Consider a single atom as the central atom, located at the origin (0,0,0)(0, 0, 0)(0,0,0) of a Cartesian coordinate system. This central atom has two distinct sets of nearest neighbors:

  1. In-plane neighbors​: Six atoms lie in the same basal plane as the central atom (the xyxyxy-plane). They are arranged symmetrically around the central atom, forming a regular hexagon with a side length equal to the interatomic distance aaa.
  2. Out-of-plane neighbors​: Six atoms are located in the two adjacent basal planes, one at z=c/2z = c/2z=c/2 and the other at z=−c/2z = -c/2z=−c/2, with three atoms in each plane. By the nature of the stacking, the projection of each of these out-of-plane neighbors onto the xyxyxy-plane perfectly aligns with the centroid of an equilateral triangle formed by the central atom and two of its adjacent in-plane neighbors.

Your task is to determine two expressions in terms of the lattice parameter aaa and the ratio γ\gammaγ. The first expression, dind_{\text{in}}din​, should be the distance from the central atom to any of its six in-plane nearest neighbors. The second expression, doutd_{\text{out}}dout​, should be the distance to any of its six out-of-plane nearest neighbors. Present your final answer as a row matrix with the two expressions in the order (din,dout)(d_{\text{in}}, d_{\text{out}})(din​,dout​).

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Problem 3

A key bridge between the theoretical description of a crystal lattice and experimental characterization is provided by diffraction techniques like X-ray Diffraction (XRD). The positions of diffraction peaks are determined by the spacing between crystal planes, known as the interplanar spacing dhkild_{hkil}dhkil​. This final exercise allows you to apply your knowledge of Miller-Bravais indices and lattice geometry to calculate this fundamental quantity for a specific set of planes in an ideal HCP crystal. Mastering this calculation is crucial for interpreting experimental diffraction data.

Problem​: A hypothetical metal, Crystonium, is known to crystallize in a hexagonal close-packed (HCP) structure. For many metals with this structure, the arrangement of atoms is very close to that of ideal hard spheres packed together, which fixes the ratio of the lattice parameters to c/a=8/3c/a = \sqrt{8/3}c/a=8/3​. Here, ccc is the lattice parameter representing the height of the hexagonal unit cell, and aaa is the lattice parameter representing the side length of the hexagonal base.

In a diffraction experiment, the lattice parameter aaa for Crystonium is determined. Your task is to calculate the theoretical interplanar spacing for the pyramidal planes, which are denoted by the four-index Miller-Bravais indices (101ˉ1)(10\bar{1}1)(101ˉ1).

Express your final answer as a symbolic expression in terms of the lattice parameter aaa.

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What to Learn Next
Solid State Physics
Not Started. Start Reading.
Face-centered Cubic Structure
Diamond and Zincblende Structures