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Category: transportation – Page 216

High-capacity Li-metal battery with improved rate-performance and stability

A study of Li-metal batteries by the research team led by Dr. Byung Gon Kim at Next-Generation Battery Research Center of Korea Electrotechnology Research Institute (KERI) was published as a cover paper in the international journal ACS Nano.

While the current Li-ion batteries generate energy by taking Li-ions in and out of the based on the intercalation mechanism, the Li-metal battery does not rely on this bulky and heavy graphite but uses metallic Li itself as the anode. As the Li-metal shows 10 times higher theoretical capacity (3,860 mAh/g) than graphite (372 mAh/g), it has steadily gained much attention from areas that need high-capacity batteries, such as and energy storage systems.

Despite this advantage, Li can grow in the shape of a tree branch, called a Li dendrite, if it is not uniformly and effectively stored when cycling process, leading to large volume expansion of the electrode, which in turn may shorten the battery’s cycle life and cause safety issue such as fire and explosion triggered by internal short-circuits.

New highly efficient lead-bin binary perovskite photodetectors with fast response times

Researchers at the University of Toronto and the Barcelona Institute of Science and Technology have recently created new solution-processed perovskite photodetectors that exhibit remarkable efficiencies and response times. These photodetectors, introduced in a paper published in Nature Electronics, have a unique design that prevents the formation of defects between its different layers.

“There is growing interest in 3D range imaging for autonomous driving and consumer electronics,” Edward H. Sargent told TechXplore. “We have worked as a team for years on finding new materials that enable light sensing technologies such as next-generation image sensors and striving to take these in a direction that could have a commercial and societal impact.”

Photodetectors, sensing devices that detect or respond to light, can have numerous highly valuable applications. For instance, they can be integrated in robotic systems, autonomous vehicles, , environmental sensing technology, fiber optic communication systems and security systems.

Media goes nuts over Elon Musk calling for more oil and gas, but here’s the full quote

The media is going nuts over Elon Musk calling for more oil and gas at an energy conference in Norway, but the full quote is not being widely reported and brings some important context.

Earlier this year, Elon Musk called to drill for more oil, which raised a few eyebrows, but it was in the context of the Russian invasion of Ukraine and how it sent gas prices skyrocketing:

Hate to say it, but we need to increase oil and gas output immediately. Extraordinary times demand extraordinary measures. Obviously, this would negatively affect Tesla, but sustainable energy solutions simply cannot react instantaneously to make up for Russian oil and gas exports.

Discovering materials for gas turbine engines through efficient predictive frameworks

Gas turbines are widely used for power generation and aircraft propulsion. According to the laws of thermodynamics, the higher the temperature of an engine, the higher the efficiency. Because of these laws, there is an emerging interest in increasing turbines’ operating temperature.

A team of researchers from the Department of Materials Science and Engineering at Texas A&M University, in conjunction with researchers from Ames National Laboratory, have developed an artificial intelligence framework capable of predicting (HEAs) that can withstand extremely high temperature, oxidizing environments. This method could significantly reduce the time and costs of finding alloys by decreasing the number of experimental analyses required.

This research was recently published in Material Horizons.

Tesla shares new photos of the Tesla Semi. Delivery soon?👀

Tesla shared some new photos of the Tesla Semi on its website recently. Deliveries of Tesla’s all-electric Class 8 truck are expected to start sometime this year. It is also expected to be made with Tesla’s 4,680 cells. Earlier this month, Elon Musk said that Tesla’s 500-mile range Semi Truck will start shipping this year. He added that the Cybertruck would start shipping next year.

Today on Twitter, members of the Tesla community found new photos of the Semi that Tesla quietly uploaded to its website. @Tesla_Adri pointed out that Tesla added some new Tesla Semi press photos and that almost every image is new.

Tesla reworked the Tesla Semi Press Photos. Pretty much every image is new pic.twitter.com/ab67GH65j1

A Case Study For The Industry: LG Investing In Metaverse

As the world increasingly embraces Web3, corporations are turning to metaverse applications to stay ahead of the curve. Based on Verified Market Research, the Metaverse market is anticipated to expand at a CAGR of 39.1 percent from 2022 to 2030, reaching USD 824.53 Billion in 2020 and USD 27.21 Billion in 2020. This is due to the increasing demand for AR/VR content and gaming and the need for more realistic and interactive training simulations.

These startups show Proof of Concept with a working product and clear value proposition for businesses and consumers.

● Launch a corporate accelerator: Another way to increase your exposure to the Metaverse is to launch a corporate accelerator. This will give you access to a broader range of startups and help you build a more diverse portfolio. In addition, it will allow you to offer mentorship and resources to the startups you invest in.

● Develop a clear investment strategy: It is also important to develop a clear investment strategy. This means knowing what industries you want to be involved in and what types of companies you want to invest in. A clear strategy can better decision which startups to invest in and how to support them best. For example, suppose your company is in the automotive industry. In that case, you may want to invest in startups working on new transportation technologies or developing new ways to use data from connected vehicles.

The LG Group has taken a leading role in investing in the Metaverse and is well-positioned to capitalize on the shift to this new paradigm. However, other enterprises need to take note of the company’s success and learn from its example. By following the steps outlined above, enterprises can increase their chances of success in the Metaverse and position themselves as leaders in this emerging market.

Battery made of aluminum, sulfur and salt proves fast, safe and low-cost

Engineers at MIT have developed a new battery design using common materials – aluminum, sulfur and salt. Not only is the battery low-cost, but it’s resistant to fire and failures, and can be charged very fast, which could make it useful for powering a home or charging electric vehicles.

Lithium-ion batteries have dominated the field for the last few decades, thanks to their reliability and high energy density. However, lithium is becoming scarcer and more expensive, and the cells can be hazardous, exploding or bursting into flames if damaged or improperly used. Cheaper, safer alternatives are needed, especially as the world transitions towards renewable energy and electric vehicles.

So the MIT team set out to design a new type of battery out of readily available, inexpensive materials. After a search and some trial and error, they settled on aluminum for one electrode and sulfur for the other, topped off with an electrolyte of molten chloro-aluminate salt. Not only are all of these ingredients cheap and common, but they’re not flammable, so there’s no risk of fire or explosion.

A silicon image sensor that computes

As any driver knows, accidents can happen in the blink of an eye—so when it comes to the camera system in autonomous vehicles, processing time is critical. The time that it takes for the system to snap an image and deliver the data to the microprocessor for image processing could mean the difference between avoiding an obstacle or getting into a major accident.

In-sensor , in which important features are extracted from raw data by the itself instead of the separate microprocessor, can speed up the . To date, demonstrations of in-sensor processing have been limited to emerging research materials which are, at least for now, difficult to incorporate into commercial systems.

Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed the first in-sensor processor that could be integrated into commercial silicon imaging sensor chips–known as complementary metal-oxide-semiconductor (CMOS) image sensors–that are used in nearly all commercial devices that need capture visual information, including smartphones.

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