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X-MINING X-TALK Vol.3 Potential and Future Research and Development of CWO™

Potential and Future Research and Development of CWO™

In recent years, in addition to the improvements in hardware technologies such as CPU computing capacity and speeding up of network communications, the wave of innovation is also pushing the research and development with the remarkable progress of software technologies including data processing and analytical technologies.
In the present X-TALK, three experts who represent Sumitomo Metal Mining Company, namely, Kenji Adachi, the inventor of CWO™, Keisuke Machida, who works on constructing innovative theories at the forefront of natural science, and Satoshi Yoshio, who searches for optimal chemistry of materials for desired properties from among the vast amounts of material data in the field of computational science, talked freely on the future of our materials development.

Profile

CWO was discovered incidentally.

Mr. Adachi, please tell us how you came to be involved in the development of CWO™.

Adachi

My involvement began with the development of a transparent material to shield electromagnetic waves emitted from the cathode-ray tube of a TV. In the process of searching for various transparent conductive materials to improve conductivity, we hypothesized that even if the material were not inherently transparent, for instance a pitch black powder, it could be made transparent theoretically by decreasing its size extremely into lower nano-scale. As a result, we were led to find the compound ruthenium dioxide as a greenish transparent material as nano-powders. While using ruthenium dioxide during the development process, we noticed that its transmission profile accompanied a small peak absorbing heat rays in the near-infrared wavelengths, which was the beginning of everything.

In other words, the discovery of CWO™ was originally not something that was meant to happen. At that point, the absorption was weak, but we thought that by improving the absorption and transparency on assumed mechanisms, we might produce an industrially useful transparent material that absorbs heat rays. So we tested various black conductive compounds and arrived at the transparent greenish nanoparticles of LaB6 and finally reached to the transparent bluish nanoparticles CWO™ as the ultimate product. I believe it was around 2002.

Mr. Machida and Mr. Yoshio, have you two heard about this development history?

Machida

The details were summarized in a research report, which I had read. However, the research report began with LaB6, so I didn’t know that ruthenium dioxide was the beginning until I started doing research with Mr. Adachi.

Yoshio

My case is the same. CWO™ had already existed when I joined the company, but I heard about the way it had developed.

Machida

When I joined the company, the mission was already to find the next CWO™. It’s been ten years since then, and though we’ve been looking for the next material, the more research we conduct, the more we realize that there is no material as good as this one. I believe CWO™ is a truly unique material.

Yoshio

My position is to support research and development, so my perspective is different from these two. Still, even my impression is that this is an excellent material and truly a rare find, so it would be challenging to look for a material that surpasses it.

Adachi

It was not found by my efforts alone but by mustering the intelligence of all the researchers at the time. It was really a product of serendipity, but I think this is a fairly common case for the material development.

Believing in the Material’s Potential, Researchers Engage In Promoting Its Sales

To promote CWO™, I heard you yourself worked hard in sales, Mr. Adachi.

Adachi

That’s right. I think it’s as rare for researchers to work in sales now as it was then. Still, I had never seen a material with high transparency and powerful heat absorption like this before, and I thought it had versatile uses, so I went here and there to talk about it. For example, under a summer sun, it can get very hot inside a telephone booth, so a manager in Company N became very interested in the product and used it for a while.
Also, transparent plastics such as PMMA and polycarbonate are used as an organic glass for construction materials overseas while they are prohibited in Japan, so I also went out globally to sell the material, hoping that it could be put to use there. It’s a bit of a surprise how the laboratory and HQ management at the time let me travel to the US and Australia with a product we weren’t sure would sell. That might have been the Sumitomo’s traditional magnanimity at work. There is no doubt that the actions we were able to take then contributed to CWO™’s current expansion.

Machida

I myself have never sold a material that I developed directly to a customer, and I’ve heard very few cases like that. I’ve especially never heard such case that a researcher visited new oversea customers by himself, without going through the business department first. The people in the team who allowed it and Mr. Adachi who went through with it are very special.

Further Improvements of CWO™ Characteristics Using Computational Science

Mr. Yoshio, as someone who supports development, how do you cooperate with the people conducting research?

Yoshio

As a computational engineer, I use a computer to look for ways to improve CWO™’s characteristics and find materials that have potential to surpass CWO™. I then propose these to Mr. Adachi and Mr. Machida.

Machida

I take these suggestions, produce them and substantiate their experimental properties. For CWO™, one of the areas of research is to try making more visible light pass through while enhancing the absorption of near-infrared rays more powerful. We are also putting all our efforts to make it more durable over a long period of time to match clients need, and also to produce greater volumes at lower costs.

Yoshio

One of my wishes is to make the CWO™ a little purer with less internal defects.

Machida

As Mr. Yoshio mentions, a pure material could exhibit even better characteristics. On the other hand, my hypothesis is that it might be the defects in the CWO™’s crystal structure that produce superior effects in those characteristics. There is no conclusion on this yet, and we are still discussing it daily.

Your colleagues of the next generation are advancing research based on CWO™. That must be pleasing for you, Mr. Adachi.

Adachi

That’s right. I am of course happy to have been involved in the development of CWO™. Seeking a limit of its functionality is certainly a valid development target, but I also hope they will develop a new material that surpasses CWO™.

What Does “Discovery” Mean For A Researcher?

Mr. Adachi, what does “discovery” mean to you personally?

Adachi

Companies that afford massive investments into research and human resources will probably develop great materials. However, if a company of our size wants to make new discoveries, we can’t brandish money or human resources. So how do we discover something new? It is essential for us to consciously rid our minds of preconceived notions. Preconceived notions can cause us to overlook opportunities when they present themselves. When you “discover” something, you are catching hold of something that has never been, so if you use common sense to deny unlikely possibilities, nothing can be discovered. I think clearing your mind of preconceptions and things you take for granted can lead to a “discovery.”
As a researcher, I’ve been examining the experimental data and trying to discover various materials out of them. However, good clues are often found in places away from the original research purpose. CWO™ is an example of this. When you conduct a great deal of research, there are times when unpredicted values are involved in casual data. It’s likely that another mechanism was hidden behind the values. By looking into that other mechanism and refining it, you are approaching to create something new. Nurturing this kind of awareness should lead to “discoveries,” and I think that is one way for a company of our size to compete.

You’re talking about not brushing aside abnormal values as simple errors, but rather focusing for new possibilities that may lie within them.

Adachi

That’s right. Unfortunately, however, research often goes on without those abnormal values being realized. The precious data are discarded because they don’t align with the original research target and objectives. Though that may mostly be the case, I hope for researchers to be more intrigued by these differences and pursue them. I also hope for companies to foster an atmosphere of openness that allows more diverse challenges for possibilities.

Computation: A Powerful Tool In Material Research

Mr. Machida and Mr. Yoshio, how do you approach the concept of “discovery”?

Machida

I think there are two main approaches. First, our generation has been educated to conduct by-the-book research and development where we define a clear objective, select decent methods, and execute them according to plan. This is one way to discover something. However, the awareness that these circumstances are not conducive to innovation has gradually come to take root. For example, when making ink for CWO™, I was taught by various people that it could only be dispersed in an organic oil-based solvent and not water, and this concept was ingrained in my mind. “You can’t disperse it with water, so don’t try to” was the message. However, someone who helped with the research unintentionally tried with water, which led to a successful dispersion. This discovery led to multiple topics for development. I realized how truly frightening preconceptions can be. I believe the second method to be valuing the experimental truth above all and in parallel finding something that glimmers outside the initial hypothesis.

Yoshio

As a computational engineer, the greatest “discovery” is finding an issue or approach that computation can contribute to. The computation I provide is not always useful for research, but I think it is important to acquire the ability to notice and discover issues independently.

Machida

If Mr. Yoshio does not make any discoveries, there is a chance that I don’t make any discoveries either, so I think collaborating with computational science is an absolute necessity. Particularly in the case of inventing a new material, we have to find a valid solution from the countless candidates that exist. Obviously, we cannot conduct experiments on them all. Still, if the number of candidates is narrowed down from 10,000 to 100 through computation, it will greatly increase our probability of discovery. In that sense, computation is a powerful tool for discovery. In fact, Mr. Yoshio cooperates with us quite frequently, and he is someone we couldn’t do without.

Adachi

An understanding of principles for properties is at the basis of great computation. Comprehending correct mechanisms allow you to make excellent computations. However, it’s hard to come up with mechanisms via computation. Therefore, it is first necessary for human analysis to unravel the mechanism through experiments, and then apply the clarified mechanism to computational science to unleash its full power. I think that is the sequence in the current stage of material science. What do you think, Mr. Yoshio?

Yoshio

Computation is not useful if you don’t understand the principles, so I think you are right in that sense. On the other hand, I think computation is rapidly developing to cover the comprehension of a principle per se.

Continuous Observation Of Materials Is Essential To Making A New Discovery

How will CWO™ be used in the future? Also, what initiatives need to be implemented to achieve that? Please tell us about how you imagine ideal situations and usage.

Adachi

Our company is an inorganic material manufacturer. So if, for example, we shared principles and knowledge with an organic material manufacturer to make a new hybridized material, that would be a very meaningful undertaking.

Machida

I have the same opinion as Mr. Adachi. You can discover new things by investigating your area of expertise by yourself, but new things can also be born from interacting with people in different fields. Therefore, I hope to find more opportunities to have serious discussions with partners we can trust and to whom we can mutually disclose our knowledge.

Yoshio

In terms of usages for CWO™, possibilities include an application which reflects sunlight more strongly, or one as an ion conductor utilizing the microcavities in the hexagonal structure of WO3 octahedra.

Mr. Adachi, what do you hope to see from Mr. Machida, Mr. Yoshio, and the company?

Adachi

We are a material manufacturer, so I hope to see a focus on materials and creation of innovative materials. To achieve this, we need to keep a keen watch on materials properties and the principles behind them. That goes without saying. To find a diamond ore among a vast pool of data, and to make a brilliant deduction free from preconceptions, each person really needs to pour himself into work. I would also like to assist such researchers.

Mr. Machida and Mr. Yoshio, please tell us about your future goals and dreams.

Machida

The company’s official mission has always been to develop new transparent near-infrared absorption materials. However, I’ve always thought we need to take a step further. I’m particularly interested in the interactions between material and light, between electron and photon, which could result in new applicable characteristics other than a light absorption. That’s my hunch, and I want to investigate it to the fullest. While driving in on the research which is our mission, I want to keep an eye out on things that may become noticeable in the periphery.

Yoshio

I think one of my goals, as well as one of the company’s, is to create the precedent of detecting viable materials through computations that precede the experiments, which will then be substantiated through experiments.

Interview Information

The Future of Material Development: Cooperation Between Experimental Science and Computational Science Sumitomo Metal Mining Co., Ltd.
By Atsushi Tofuku, General Manager of Planning and Development Department, Applied Powder Materials BU, Advanced Materials Division.

In recent years, the material development process has been greatly changed by the development of machine learning*1 and artificial intelligence (AI). In concrete terms, it is a research process (method) called materials informatics (MI)*2 which improves efforts to search efficiently for new and advanced materials through information science, such as the application of big data. Our company R&D also utilizes a material database modeled at high precision on the computer, handling physical characteristics such as atomic arrangements and electronic configurations. When used in conjunction with search algorithms that have been fed past experimental data and simulated data, it furthers the efficiency of material development. Although there is still a long way to go, so much progress has been made since the discovery of CWO™.

In the past, the development of materials and search for resources typically used the process of repeatedly generating and testing hypotheses (via experiments) regarding material properties found through “empirical science” backed by the researcher’s knowledge, intuition, and experience. As a result, it took a great deal of time and cost from the discovery of a new material to its implementation. It took about ten years for the development of CWO™ to get from conception to full commercialization. This may seem like a very inefficient process to young researchers, but at the time, this process was the norm. The application of MI can be said to be a “research development innovation” that is capable of drastically reducing the time and cost of material development.

However, even though it is now possible to obtain detailed analytical results in a short time, the methodology for extracting meaningful information from the result is still in a transitional stage. Moreover, as noted, AI and MI are shaped by modeling material properties and actual data sets, whose maintenance is essential. On the one hand, Mr. Yoshio manages large amounts of data while aiming to establish an integrated framework that allows a more efficient search for materials. On the other hand, Mr. Machida builds mathematical models that explain experimental data and demonstrate mechanisms, feeding back the results to make calculations more accurate.
In the future, research and development will be required to accumulate, share, and circulate data linked between empirical science (inductive approach) and computational science (deductive approach). Thus, the most important thing is to figure out how to bridge the communication gap between researchers in different fields as their expertise in those fields deepens.

Challenges and creations will continue for these three material scientists. We have great expectations that through their cooperation, a new material will be invented that will surprise the world.

*1: Machine learning: a general term for a method of constructing algorithms and statistical models to efficiently predict and classify specific tasks using a computer.
*2 Materials informatics (MI): a general term referring to speedy and efficient search and experiment initiatives that use information science (informatics) methods to analyze databases of experiments and simulation results related to materials.

 

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