Study of disordered rock salts leads to battery breakthrough

For the past decade, disordered rock salt has been studied as a potential breakthrough cathode material for use in lithium-ion batteries and a key to creating low-cost, high-energy storage for everything from cell phones to electric vehicles to renewable energy storage.

A new MIT study is making sure the material fulfills that promise.

Led by Ju Li, the Tokyo Electric Power Company Professor in Nuclear Engineering and professor of materials science and engineering, a team of researchers describe a new class of partially disordered rock salt cathode, integrated with polyanions — dubbed disordered rock salt-polyanionic spinel, or DRXPS — that delivers high energy density at high voltages with significantly improved cycling stability.

“There is typically a trade-off in cathode materials between energy density and cycling stability … and with this work we aim to push the envelope by designing new cathode chemistries,” says Yimeng Huang, a postdoc in the Department of Nuclear Science and Engineering and first author of a paper describing the work published today in Nature Energy. “(This) material family has high energy density and good cycling stability because it integrates two major types of cathode materials, rock salt and polyanionic olivine, so it has the benefits of both.”

Importantly, Li adds, the new material family is primarily composed of manganese, an earth-abundant element that is significantly less expensive than elements like nickel and cobalt, which are typically used in cathodes today.

“Manganese is at least five times less expensive than nickel, and about 30 times less expensive than cobalt,” Li says. “Manganese is also the one of the keys to achieving higher energy densities, so having that material be much more earth-abundant is a tremendous advantage.”

A possible path to renewable energy infrastructure

That advantage will be particularly critical, Li and his co-authors wrote, as the world looks to build the renewable energy infrastructure needed for a low- or no-carbon future.

Batteries are a particularly important part of that picture, not only for their potential to decarbonize transportation with electric cars, buses, and trucks, but also because they will be essential to addressing the intermittency issues of wind and solar power by storing excess energy, then feeding it back into the grid at night or on calm days, when renewable generation drops.

Given the high cost and relative rarity of materials like cobalt and nickel, they wrote, efforts to rapidly scale up electric storage capacity would likely lead to extreme cost spikes and potentially significant materials shortages.

“If we want to have true electrification of energy generation, transportation, and more, we need earth-abundant batteries to store intermittent photovoltaic and wind power,” Li says. “I think this is one of the steps toward that dream.”

That sentiment was shared by Gerbrand Ceder, the Samsung Distinguished Chair in Nanoscience and Nanotechnology Research and a professor of materials science and engineering at the University of California at Berkeley.

“Lithium-ion batteries are a critical part of the clean energy transition,” Ceder says. “Their continued growth and price decrease depends on the development of inexpensive, high-performance cathode materials made from earth-abundant materials, as presented in this work.”

Overcoming obstacles in existing materials

The new study addresses one of the major challenges facing disordered rock salt cathodes — oxygen mobility.

While the materials have long been recognized for offering very high capacity — as much as 350 milliampere-hour per gram — as compared to traditional cathode materials, which typically have capacities of between 190 and 200 milliampere-hour per gram, it is not very stable.

The high capacity is contributed partially by oxygen redox, which is activated when the cathode is charged to high voltages. But when that happens, oxygen becomes mobile, leading to reactions with the electrolyte and degradation of the material, eventually leaving it effectively useless after prolonged cycling.

To overcome those challenges, Huang added another element — phosphorus — that essentially acts like a glue, holding the oxygen in place to mitigate degradation.

“The main innovation here, and the theory behind the design, is that Yimeng added just the right amount of phosphorus, formed so-called polyanions with its neighboring oxygen atoms, into a cation-deficient rock salt structure that can pin them down,” Li explains. “That allows us to basically stop the percolating oxygen transport due to strong covalent bonding between phosphorus and oxygen … meaning we can both utilize the oxygen-contributed capacity, but also have good stability as well.”

That ability to charge batteries to higher voltages, Li says, is crucial because it allows for simpler systems to manage the energy they store.

“You can say the quality of the energy is higher,” he says. “The higher the voltage per cell, then the less you need to connect them in series in the battery pack, and the simpler the battery management system.”

Pointing the way to future studies

While the cathode material described in the study could have a transformative impact on lithium-ion battery technology, there are still several avenues for study going forward.

Among the areas for future study, Huang says, are efforts to explore new ways to fabricate the material, particularly for morphology and scalability considerations.

“Right now, we are using high-energy ball milling for mechanochemical synthesis, and … the resulting morphology is non-uniform and has small average particle size (about 150 nanometers). This method is also not quite scalable,” he says. “We are trying to achieve a more uniform morphology with larger particle sizes using some alternate synthesis methods, which would allow us to increase the volumetric energy density of the material and may allow us to explore some coating methods … which could further improve the battery performance. The future methods, of course, should be industrially scalable.”

In addition, he says, the disordered rock salt material by itself is not a particularly good conductor, so significant amounts of carbon — as much as 20 weight percent of the cathode paste — were added to boost its conductivity. If the team can reduce the carbon content in the electrode without sacrificing performance, there will be higher active material content in a battery, leading to an increased practical energy density.

“In this paper, we just used Super P, a typical conductive carbon consisting of nanospheres, but they’re not very efficient,” Huang says. “We are now exploring using carbon nanotubes, which could reduce the carbon content to just 1 or 2 weight percent, which could allow us to dramatically increase the amount of the active cathode material.”

Aside from decreasing carbon content, making thick electrodes, he adds, is yet another way to increase the practical energy density of the battery. This is another area of research that the team is working on.

“This is only the beginning of DRXPS research, since we only explored a few chemistries within its vast compositional space,” he continues. “We can play around with different ratios of lithium, manganese, phosphorus, and oxygen, and with various combinations of other polyanion-forming elements such as boron, silicon, and sulfur.”

With optimized compositions, more scalable synthesis methods, better morphology that allows for uniform coatings, lower carbon content, and thicker electrodes, he says, the DRXPS cathode family is very promising in applications of electric vehicles and grid storage, and possibly even in consumer electronics, where the volumetric energy density is very important.

This work was supported with funding from the Honda Research Institute USA Inc. and the Molecular Foundry at Lawrence Berkeley National Laboratory, and used resources of the National Synchrotron Light Source II at Brookhaven National Laboratory and the Advanced Photon Source at Argonne National Laboratory. 

Basic keyboard shortcut support for focused links

Eric gifting us with his research on all the various things that anchors (not links) do when they are in :focus.

Turns out, there’s a lot!

That’s an understatement! This is an incredible amount of work, even …

Basic keyboard shortcut support for focused links originally published on CSS-Tricks,…

Authors file lawsuit against Anthropic over ‘pirated’ works

Three authors have filed a lawsuit against AI startup Anthropic, alleging the firm used their copyrighted works without permission to train its Claude language models. Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson filed a complaint in a California court, accusing Anthropic of having “pirated” their written material…

Meta to Release a Major WhatsApp AI Update (August 2024)

Imagine a world where messaging apps are not just communication tools but powerful assistants that enhance your daily life. Messaging platforms are no longer just about simple text exchanges. They have evolved into powerful tools that use artificial intelligence (AI) to improve productivity and communication. For…

10 Best AI Form Generators (August 2024)

Efficient data collection and user engagement are crucial for businesses and organizations. Artificial Intelligence (AI) has disrupted the form-building process, offering innovative solutions that streamline creation, enhance user experience, and provide valuable insights. This article explores the top AI form generators that are transforming how we…

The Friday Roundup – Audacity A.I. and CapCut Tutorial

Audacity AI Tools (Free AI Plugins – OpenVINO) To be honest I can’t remember whether I posted this one before or not but due to a recent audio problem I had I thought I’d post it anyway. A few months back(?) Intel released a free set…

Toward a code-breaking quantum computer

The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.

Quantum computers, on the other hand, promise to rapidly crack complex cryptographic systems that a classical computer might never be able to unravel. This promise is based on a quantum factoring algorithm proposed in 1994 by Peter Shor, who is now a professor at MIT.

But while researchers have taken great strides in the last 30 years, scientists have yet to build a quantum computer powerful enough to run Shor’s algorithm.

As some researchers work to build larger quantum computers, others have been trying to improve Shor’s algorithm so it could run on a smaller quantum circuit. About a year ago, New York University computer scientist Oded Regev proposed a major theoretical improvement. His algorithm could run faster, but the circuit would require more memory.

Building off those results, MIT researchers have proposed a best-of-both-worlds approach that combines the speed of Regev’s algorithm with the memory-efficiency of Shor’s. This new algorithm is as fast as Regev’s, requires fewer quantum building blocks known as qubits, and has a higher tolerance to quantum noise, which could make it more feasible to implement in practice.

In the long run, this new algorithm could inform the development of novel encryption methods that can withstand the code-breaking power of quantum computers.

“If large-scale quantum computers ever get built, then factoring is toast and we have to find something else to use for cryptography. But how real is this threat? Can we make quantum factoring practical? Our work could potentially bring us one step closer to a practical implementation,” says Vinod Vaikuntanathan, the Ford Foundation Professor of Engineering, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and senior author of a paper describing the algorithm.

The paper’s lead author is Seyoon Ragavan, a graduate student in the MIT Department of Electrical Engineering and Computer Science. The research will be presented at the 2024 International Cryptology Conference.

Cracking cryptography

To securely transmit messages over the internet, service providers like email clients and messaging apps typically rely on RSA, an encryption scheme invented by MIT researchers Ron Rivest, Adi Shamir, and Leonard Adleman in the 1970s (hence the name “RSA”). The system is based on the idea that factoring a 2,048-bit integer (a number with 617 digits) is too hard for a computer to do in a reasonable amount of time.

That idea was flipped on its head in 1994 when Shor, then working at Bell Labs, introduced an algorithm which proved that a quantum computer could factor quickly enough to break RSA cryptography.

“That was a turning point. But in 1994, nobody knew how to build a large enough quantum computer. And we’re still pretty far from there. Some people wonder if they will ever be built,” says Vaikuntanathan.

It is estimated that a quantum computer would need about 20 million qubits to run Shor’s algorithm. Right now, the largest quantum computers have around 1,100 qubits.

A quantum computer performs computations using quantum circuits, just like a classical computer uses classical circuits. Each quantum circuit is composed of a series of operations known as quantum gates. These quantum gates utilize qubits, which are the smallest building blocks of a quantum computer, to perform calculations.

But quantum gates introduce noise, so having fewer gates would improve a machine’s performance. Researchers have been striving to enhance Shor’s algorithm so it could be run on a smaller circuit with fewer quantum gates.

That is precisely what Regev did with the circuit he proposed a year ago.

“That was big news because it was the first real improvement to Shor’s circuit from 1994,” Vaikuntanathan says.

The quantum circuit Shor proposed has a size proportional to the square of the number being factored. That means if one were to factor a 2,048-bit integer, the circuit would need millions of gates.

Regev’s circuit requires significantly fewer quantum gates, but it needs many more qubits to provide enough memory. This presents a new problem.

“In a sense, some types of qubits are like apples or oranges. If you keep them around, they decay over time. You want to minimize the number of qubits you need to keep around,” explains Vaikuntanathan.

He heard Regev speak about his results at a workshop last August. At the end of his talk, Regev posed a question: Could someone improve his circuit so it needs fewer qubits? Vaikuntanathan and Ragavan took up that question.

Quantum ping-pong

To factor a very large number, a quantum circuit would need to run many times, performing operations that involve computing powers, like 2 to the power of 100.

But computing such large powers is costly and difficult to perform on a quantum computer, since quantum computers can only perform reversible operations. Squaring a number is not a reversible operation, so each time a number is squared, more quantum memory must be added to compute the next square.

The MIT researchers found a clever way to compute exponents using a series of Fibonacci numbers that requires simple multiplication, which is reversible, rather than squaring. Their method needs just two quantum memory units to compute any exponent.

“It is kind of like a ping-pong game, where we start with a number and then bounce back and forth, multiplying between two quantum memory registers,” Vaikuntanathan adds.

They also tackled the challenge of error correction. The circuits proposed by Shor and Regev require every quantum operation to be correct for their algorithm to work, Vaikuntanathan says. But error-free quantum gates would be infeasible on a real machine.

They overcame this problem using a technique to filter out corrupt results and only process the right ones.

The end-result is a circuit that is significantly more memory-efficient. Plus, their error correction technique would make the algorithm more practical to deploy.

“The authors resolve the two most important bottlenecks in the earlier quantum factoring algorithm. Although still not immediately practical, their work brings quantum factoring algorithms closer to reality,” adds Regev.

In the future, the researchers hope to make their algorithm even more efficient and, someday, use it to test factoring on a real quantum circuit.

“The elephant-in-the-room question after this work is: Does it actually bring us closer to breaking RSA cryptography? That is not clear just yet; these improvements currently only kick in when the integers are much larger than 2,048 bits. Can we push this algorithm and make it more feasible than Shor’s even for 2,048-bit integers?” says Ragavan.

This work is funded by an Akamai Presidential Fellowship, the U.S. Defense Advanced Research Projects Agency, the National Science Foundation, the MIT-IBM Watson AI Lab, a Thornton Family Faculty Research Innovation Fellowship, and a Simons Investigator Award.

Uphill battles: Across the country in 75 days

Amulya Aluru ’23, MEng ’24, will head to the University of California at Berkeley for a PhD in molecular and cell biology PhD this fall. Aluru knows her undergraduate 6-7 major and MEng program, where she worked on a computational project in a biology lab, have prepared her for the next step of her academic journey.

“I’m a lot more comfortable with the unknown in terms of research — and also life,” she says. “While I’ve enjoyed what I’ve done so far, I think it’s equally valuable to try and explore new topics. I feel like there’s still a lot more for me to learn in biology.”

Unlike many of her peers, however, Aluru won’t reach the San Francisco Bay Area by car, plane, or train. She will arrive by bike — a journey she began in Washington just a few days after receiving her master’s degree.

Showing that science is accessible

Spokes is an MIT-based nonprofit that each year sends students on a transcontinental bike ride. Aluru worked for months with seven fellow MIT students on logistics and planning. Since setting out, the team has bonded over their love of memes and cycling-themed nicknames: Hank “Handlebar Hank” Stennes, Clelia “Climbing Cleo” Lacarriere, Varsha “Vroom Vroom Varsha” Sandadi, Rebecca “Railtrail Rebecca” Lizarde, JD “JDerailleur Hanger” Hagood, Sophia “Speedy Sophia” Wang, Amulya “Aero Amulya” Aluru, and Jessica “Joyride Jess” Xu. The support minivan, carrying food, luggage, and occasionally injured or sick cyclists, even earned its own nickname: “Chrissy”, short for Chrysler Pacifica.

“I really wanted to do something to challenge myself, but not in a strictly academic sense,” Aluru says of her decision to join the team and bike more than 3,000 miles this summer.

The Spokes team is not biking across the country solely to accomplish such a feat. Throughout their journey, they’ll be offering a variety of science demonstrations, including making concrete with Rice Krispies, demonstrating the physics of sound, using 3D printers, and, in Aluru’s case, extracting DNA from strawberries.   

“We’re going to be in a lot of really different learning environments,” she says. “I hope to demonstrate that science can be accessible, even if you don’t have a lab at your disposal.”

These demonstrations have been held in venues such as a D.C. jaila space camp, and libraries and youth centers across the country; their learning festivals were even featured on a local news channel in Kentucky.

Some derailments

The team was beset with challenges from the first day they started their journey. Aluru’s first day on the road involved driving to every bike shop and REI store in the D.C. metro area to purchase bike computers for navigation because the ones the team had already purchased would only display maps of Europe.

Four days in and four Chrysler Pacificas later — the first was unsafe due to bald tires, the second made a weird sound as they pulled out of the rental lot, and the third’s gas pedal stopped working over 50 miles away from the nearest rental agency — the team was back together again in Waynesboro, Virginia, for the first time since they’d set out.

Since then, they’ve had run-ins with local fauna — including mean dogs and a meaner turtle — attempted to repair a tubeless bike that was not, in fact, tubeless, and slept in Chrissy the minivan after their tents got soaked and blew away.

Although it hasn’t all been smooth riding, the team has made time for fun. They’ve perfected the art of eating a Clif bar while on two wheelsplayed around on monkey bars in Colorado, met up with Stanford Spokes, enjoyed pounds of ice cream, and downed gallons of lattes.

The team prioritized routes on bike trails, rather than highways, as much as possible. Their teaching activities are scheduled between visits to National Parks like Tahoe, Zion, Bryce Canyon, Arches, and touring and hiking places like Breaks Interstate ParkMammoth Cave, and the Collegiate Peaks.

Aluru says she’s excited to see parts of the country she’s never visited before, and experience the terrain under her own power — except for breaks when it’s her turn to drive Chrissy.

Rolling with the ups and downs

Aluru was only a few weeks into her first Undergraduate Research Opportunities Program project in the late professor Angelika Amon’s lab when the Covid-19 pandemic hit, quickly transforming her wet lab project into a computational one. David Waterman, her postdoc mentor in the Amon Lab, was trained as a biologist, not a computational scientist. Luckily, Aluru had just taken two computer science classes.

“I was able to have a big hand in formulating my project and bouncing ideas off of him,” she recalls. “That helped me think about scientific questions, which I was able to apply when I came back to campus and started doing wet lab research again.”

When Aluru returned to campus, she began work in the Page Lab at the Whitehead Institute for Biomedical Research. She continued working there for the rest of her time at MIT, first as an undergraduate student and then as an MEng student.

The Page Lab’s work primarily concerns sex differences and how those differences play out in genetics, development, and disease — and the Department of Electronic Engineering and Computer Science, which oversees the MEng program, allows students to pursue computational projects across disciplines, no matter the department.

For her MEng work, Aluru looked at sex differences in human height, a continuation of a paper that the Page Lab published in 2019. Height is an easily observable human trait and, from previous research, is known to be sex-biased across at least five species. Genes that have sex-biased expression patterns, or expression patterns that are higher or lower in males compared to females, may play a role in establishing or maintaining these sex differences. Through statistical genetics, Aluru replicated the findings of the earlier paper and expanded them using newly published datasets.

“Amulya has had an amazing journey in our department,” says David Page, professor of biology and core member of the Whitehead Institute. “There is simply no stopping her insatiable curiosity and zest for life.”

Working with the lab as a graduate student came with more day-to-day responsibility and independence than when she was an undergrad.

“It was a shift I quite appreciated,” Aluru says. “At times it was challenging, but I think it was a good challenge: learning how to structure my research on my own, while still getting a lot of support from lab members and my PI [principal investigator].”

Gearing up for the future

Since departing MIT, Aluru and the rest of the Spokes team have spent their nights camping, sleeping in churches, and staying with hosts. They enjoyed the longest day of the year in a surprisingly “Brooklyn chic” house, spent a lazy afternoon on a river, and pinky-promised to be in each other’s weddings. The team has also been hosted by, met up with, and run into MIT alums as they’ve crossed the country.

As Aluru looks to the future, she admits she’s not exactly sure what she’ll study — but when she reaches the West Coast, she knows she’s not leaving what she’s built through MIT far behind.

“There’s going to be a small MIT community even there — a lot of my friends are in San Francisco, and a few people I know are also going to be at Berkeley,” she says. “I have formed a community at MIT that I know will support me in all my future endeavors.”