Prove Your Metal: Top 10 Strongest Metals on Earth

The use of metals and the advancement of human civilization have gone hand in hand — and throughout the ages, each metal has proved its worth based on its properties and applications.

Today’s visualization from Viking Steel Structures outlines the 10 strongest metals on Earth and their applications.

What are Metals?

Metals are solid materials that are typically hard, shiny, malleable, and ductile, with good electrical and thermal conductivity. But not all metal is equal, which makes their uses as varied as their individual properties and benefits.

The periodic table below presents a simple view of the relationship between metals, nonmetals, and metalloids, which you can easily identify by color.

While 91 of the 118 elements of the periodic table are considered to be metals, only a few of them stand out as the strongest.

What Makes a Metal Strong?

The strength of a metal depends on four properties:

1. Tensile Strength: How well a metal resists being pulled apart
2. Compressive Strength: How well a material resists being squashed together
3. Yield Strength: How well a rod or beam of a particular metal resists bending and permanent damage
4. Impact Strength: The ability to resist shattering upon impact with another object or surface

Here are the top 10 metals based on these properties.

The Top 10 Strongest Metals

Out of the Forge and into Tech: Metals for the Future

While these metals help to forge the modern world, there is a new class of metals that are set to create a new future.

Rare Earth elements (REEs) are a group of metals do not rely on their strength, but instead their importance in applications in new technologies, including those used for green energy.

If the world is going to move towards a more sustainable and efficient future, metals—both tough and smart—are going to be critical. Each one will serve a particular purpose to build the infrastructure and technology for the next generation.

Our ability to deploy technology with the right materials will test the world’s mettle to meet the challenges of tomorrow—so choose wisely.

How AI and Big Data Will Unlock the Next Mineral Discovery

Emerging technologies such as artificial intelligence (AI) and machine learning are rapidly proving their value across many industries.

Today’s infographic comes from GoldSpot Discoveries, and it shows that when this tech is applied to massive geological data sets, that there is growing potential to unlock the next wave of mineral discoveries.

Mineral Exploration: Fortunes Go to the Few

Discovering new sources of minerals, such as copper, gold, or even cobalt, can be notoriously difficult but also very rewarding. According to Goldspot, the chance of finding a new deposit is around 0.5%, with odds improving to 5% if exploration takes place near a known resource.

On the whole, mineral exploration has not been a winning prospect if you compare the total dollar spend and the actual value of the resulting discoveries.

Measuring Discovery Performance by Region (2005 to 2014)

Aside from the geographic insights, on the surface this data reveals that mineral exploration does not pay for itself. That said, there are still significant discoveries worth billions of dollars – it’s just the returns go inordinately to a few small players that make big finds.

Much of the money spent on exploration may not have produced the next great discovery, but you can be sure it created massive volumes of data that could be used for further refining of exploration models.

So, What is the Problem?

Every exploration failure or success produces geological insights. The mineral exploration process is the source of massive amounts of data in the form of soil samples, chip samples, geochemistry, drill results, and assay results. Each drill hole is a tiny snapshot into the processes that form the earth.

A single drill hole can create 200 megabytes of data and when there are many drill holes coupled with other types of information, an exploration project can produce terabytes of data. If you wanted to compare your one project to hundreds of others to find the best insights, the amount of data becomes dizzying.

All these data points are clues that can be used to find new mineral deposits, but to sort through them is too much for even an entire team of capable geologists.

Luckily, using today’s technology, this data can now be used to train computers to spot the areas showing similar patterns to past discoveries.

AI-Assistance

The true power of AI will be in its ability to empower technically trained professionals to make decisions in an increasingly complex and data-driven world.

Professor Ajay Agrawal, a noted academic in AI and founder of the University of Toronto’s Creative Destruction Lab, categorizes human activities into five categories:

1. Data collection
2. Information retrieval
3. Prediction
4. Judgment
5. Action

He concludes that machines should do the first three and that humans – such as geologists, doctors, lawyers, investment bankers and others – should make the judgment calls and take the actions based on predictive capabilities of AI.

The mineral exploration industry presents a good example of how AI and big data can help technical professionals make discoveries faster, with less money, using a wide variety of data inputs created.

Opportunity Generator and the AI-friendly Future

AI can take the large amounts of data from many different projects in order to spot the right opportunities to further explore, building on decades of geological data from projects around the world.

The right technology can help reduce the risk inherent in exploration and lead to more mineral discoveries on budget, rewarding those that deployed their data most effectively. Companies that are able to harness this power will tip the scales in their favor.

As a result, mineral exploration is no longer so much an art of interpretation – but instead, it becomes closer to a pure science, giving geologists a whole-field perspective of all the data.