News
Shark Tank-backed Natrion unveils solid-state battery separator with near-zero fire risk
Mark Cuban-backed Natrion has unveiled its latest developments in solid-state battery manufacturing with the new LISIC278 separator in a traditional pouch cell. The separator allows for a higher thermal resistance than other EV batteries, decreasing the risk of fires and combustion. Additionally, the cell showed a 40 percent increase in the charge rate compared to a conventional battery with the same capacity.
Natrion’s LISIC278 material utilizes a Lithium Solid Ionic Composite (LISIC) electrolyte that mimics the performance and specs of a standard polyolefin separator, which sits between the anode and cathode. The purpose of the separator is to prevent short circuits by keeping the electrodes apart while also allowing ionic charges to flow through with the necessary passage of currents in a cell. The LISIC cell can utilize significantly less of the electrolyte liquid by delivering high ion transport capability at ambient conditions. This keeps the cells’ thermal resistance above 200° Celsius (392 F) without having any porosity.
The LISIC278 separator’s ability to remain stable at high temperatures nearly eliminates the risk of fire, while it also exhibits a reduced ability for a thermal event altogether.
CEO and Co-Founder Alex Kosyakov said that reducing flammable liquid electrolytes was a main focus because reducing the perception that battery cells will catch on fire is a key to growing mass EV adoption:
“Reducing our reliance on flammable liquids in EV batteries is key to reducing fire risk and ultimately making mass EV adoption more viable. So the fact that this data shows we can produce battery cells that are just as efficient with only a small fraction of that liquid is a huge win.”
Cycling performance of a two-layer pouch cell at C/3 charge and discharge using LISIC278 with an NMC532 cathode and natural graphite anode.
In addition to the LISIC278 cells’ stability, it also showed a 40 percent increase in charge rate, taking just 3 hours to charge as opposed to 5 hours for a conventional cell with the same capacity. Natrion utilized a standard pouch containing NMC532 cathode, LP40 liquid electrolyte, and a natural graphite anode with a state-of-the-art separator for its experiments. This was compared to the Natrion pouch, which was identical but utilized the LISIC279 separator instead of a conventional design.

The cell with the LISIC279 separator also displayed a high initial coulombic efficiency. Conventional lithium-ion cells “typically” have less energy available than they are charged with when used the first few times. Natrion cells did not display this issue and “exhibited higher initial coulombic efficiencies and resultantly improved capacity retention at higher C-rates,” the company said.
Dr. Jon Tuck, an expert in energy storage for Silent Koala, said using less electrolyte liquid while maintaining a high initial coulombic rate is difficult, especially at the capacity and C-rate threshold given here. “These results are highly promising and show a versatility of use for LISIC that we have yet to see from other solid-state electrolyte materials. It signals the potential of Natrion’s materials to really advance the industry and the technological feats being developed,” Dr. Tuck added.
Natrion is based in Binghamton, New York, and has operations in Champaign, Illinois.
Solid-state batteries utilize a solid material to allow energy to flow from the cathode to the anode, instead of traditional lithium-ion cells, which utilize a liquid electrolyte solution. EV makers have not been able to switch to solid-state technology due to its complex manufacturing processes. Additionally, researchers have not been able to find ideal solutions for the material it would utilize in the batteries, and this continues to be a severe bottleneck of solid-state development.
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Elon Musk
Tesla owners surpass 8 billion miles driven on FSD Supervised
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account.
Tesla shared the milestone as adoption of the system accelerates across several markets.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Elon Musk
The Boring Company’s Music City Loop gains unanimous approval
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.
The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown.
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.
Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.
The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post.
Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.
“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said.
The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.
Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”
Elon Musk
Tesla announces crazy new Full Self-Driving milestone
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.
The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.
On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.
Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.
Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.
This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.
The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.