Designing better battery electrolytes
Designing a battery is a three-part process. You need a positive electrode, you need a negative electrode, and — importantly — you need an electrolyte that works with both electrodes. …
Machine-learning model instantly predicts polymer properties
Hundreds of millions of tons of polymer materials are produced globally for use in a vast and ever-growing application space with new material demands such as green chemistry polymers, consumer …
A possible game changer for next generation microelectronics
Magnets generate invisible fields that attract certain materials. A common example is fridge magnets. Far more important to our everyday lives, magnets also can store data in computers. Exploiting the …
Shock to the system: Using electricity to find materials that can learn
Scientists looking to create a new generation of supercomputers are looking for inspiration from the most complex and energy-efficient computer ever built: the human brain. In some of their initial …
Skin-like electronics could monitor your health continuously
Flexible, wearable electronics are making their way into everyday use, and their full potential is still to be realized. Soon, this technology could be used for precision medical sensors attached …
MORE DATA COULD TURBOCHARGE EFFORTS TO BUILD BETTER BATTERIES, RESEARCHERS SAY
As nations work to eliminate carbon emissions, batteries will play a huge role. Electric vehicles powered by batteries seem likely to dominate the future of commercial and consumer transportation. Likewise, …
Scientists develop new algorithm that may provide insights into battery corrosion
Putting together a jigsaw puzzle is a great activity for a rainy Sunday afternoon. But the somewhat more difficult process of quickly assembling 3D scientific jigsaw puzzles — atomic structures …
New machine-learning simulations reduce energy need for mask fabrics, other materials
Making the countless numbers of N95 masks that have protected millions of Americans from COVID requires a process that not only demands attention to detail but also requires lots of …
A Faster Way to Study 2D Materials for Next-Generation Quantum and Electronic Devices
Two-dimensional materials, which consist of a single layer of atoms, exhibit unusual properties that could be harnessed for a wide range of quantum and microelectronics systems. But what makes them …
Artificial Intelligence for Materials Science (AIMS)
Materials Genome Initiative (MGI) promises to expedite materials discovery through high-through computation and high-throughput experiments. Application of Artificial-intelligence (AI) tools such as machine-learning, deep-learning and various optimization techniques are critical …