Lockheed Martin Matures Next Secure Communications Satellite Solution for U.S. Space Force with Major Design Milestone

MUOS Satellite From Lockheed Martin
Mobile User Objective System (MUOS) satellites, the fifth one of which is seen here in production at Lockheed Martin, are vital to providing secure communications for allied military forces around the world.
Photo Credit: Lockheed Martin.

Lockheed Martin has now proven the readiness of its satellite design in support of the U.S. Space Force (USSF) Space Systems Command’s upcoming Mobile User Objective System (MUOS) Service Life Extension (SLE) program through successful execution of an Early Design Review (EDR). Future MUOS satellites planned as part of the program will be critical in continuing to provide crystal-clear, secure communications to military forces on the move.

Lockheed Martin is one of two companies selected to develop future MUOS satellite concepts under Phase 1 of the program, centered on early design activities and risk reduction.

“In less than the initial one-year base period of performance, our team went above and beyond to deliver not only a successful early design review – but one so robust that it passed the rigorous standards of a more advanced design assessment,” said Maria Hartin-Swart, program management director for Lockheed Martin’s MUOS SLE development efforts.

Better digital memories with the help of noble gases

Adding the noble gas xenon when manufacturing digital memories enables a more even material coating even in small cavities.
Photo Credit: Olov Planthaber

The electronics of the future can be made even smaller and more efficient by getting more memory cells to fit in less space. One way to achieve this is by adding the noble gas xenon when manufacturing digital memories. This has been demonstrated by researchers at Linköping University in a study published in Nature Communications. This technology enables a more even material coating even in small cavities.

Twenty-five years ago, a camera memory card could hold 64 megabytes of information. Today, the same physical size memory card can hold 4 terabytes – over 60,000 times more information.

An electronic storage space, such as a memory card, is created by alternating hundreds of thin layers of an electrically conductive and an insulating material. A multitude of very small holes are then etched through the layers. Finally, the holes are filled with a conductive material. This is done by using a technique in which vapors of various substances are used to create thin material layers.

This Multiferroic Can Take the Heat - up to 160℃

Image Credit: Tohoku University

While most multiferroics are limited such that the hottest they can operate at is room temperature, a team of researchers at Tohoku University demonstrated that terbium oxide Tb2(MoO4)3 works as a multiferroic even at 160 ℃.

As one can imagine, a material that loses its functionality from a hot summer's day or simply the heat generated by the device itself has limited practical applications. This is the major Achilles heel of multiferroics - materials that possess close coupling between magnetism and ferroelectricity. This coupling makes multiferroics an attractive area to explore, despite that weakness.

In order to surmount this weakness to unleash the full potential of multiferroics, the research team investigated the candidate material Tb2(MoO4)3. It successfully showed the hallmark traits of multiferroics, and was able to manipulate electric polarization using a magnetic field, even at 160 ℃. This is a huge jump from the previous limit of approximately 20 ℃. Without that major Achilles heel, this remarkable finding means that multiferroics can meaningfully be applied to areas such as spintronics, memory devices that consume less power, and light diodes.

Researchers find dialysis ‘astonishingly effective’ for treating wastewater

Menachem Elimelech and Yuanmiaoliang “Selina” Chen.
Photo Credit: Gustavo Raskosky/Rice University

Researchers at Rice University, in collaboration with Guangdong University of Technology, have uncovered an innovative approach to treating high-salinity organic wastewaters — streams containing both elevated salt and organic concentrations — by employing dialysis, a technology borrowed from the medical field.

For patients with kidney failure, dialysis uses a machine called a dialyzer to filter waste and excess fluid from the blood; blood is drawn from the body, cleansed in the dialyzer then returned through a separate needle or tube.

In a new study published in Nature Water, the team found that mimicking this same method can separate salts from organic substances with minimal dilution of the wastewater, simultaneously addressing key limitations of conventional methods. This novel pathway has the potential to reduce environmental impacts, lower costs and enable the recovery of valuable resources across a range of industrial sectors.

New protective coating can improve battery performance

Mario El Kazzi and his team have developed a cathode surface coating that enables operating voltages of up to 4.8 volts.
Photo Credit: © Paul Scherrer Institute PSI/Mahir Dzambegovic

A research team at the Paul Scherrer Institute PSI has developed a new sustainable process that can be used to improve the electrochemical performance of lithium-ion batteries. Initial tests of high-voltage batteries modified in this way have been successful. This method could be used to make lithium-ion batteries, for example those for electric vehicles, significantly more efficient.

Lithium-ion batteries are considered a key technology for decarbonization. Therefore, researchers around the world are working to continuously improve their performance, for example by increasing their energy density. “One way to achieve this is to increase the operating voltage,” says Mario El Kazzi from the Center for Energy and Environmental Sciences at Paul Scherrer Institute PSI. "If the voltage increases, the energy density also increases.”

However, there is a problem: At operating voltages above 4.3 volts, strong chemical and electrochemical degradation processes take place at the transition between the cathode, the positive pole, and the electrolyte, the conductive medium. The surface of the cathode materials gets severely damaged by the release of oxygen, dissolution of transition metals, and structural reconstruction – which in turn results in a continuous increase in cell resistance and a decrease in capacity. This is why commercial battery cells, such as those used in electric cars, have so far only run at a maximum of 4.3 volts.

MIT engineers design flexible “skeletons” for soft, muscle-powered robots

MIT engineers have developed a new spring (shown in Petri dish) that maximizes the work of natural muscles. When living muscle tissue is attached to posts at the corners of the device, the muscle’s contractions pull on the spring, forming an effective, natural actuator. The spring can serve as a “skeleton” for future muscle-powered robots.
Photo Credit: Felice Frankel
(CC BY-NC-ND 4.0 DEED)

Our muscles are nature’s perfect actuators — devices that turn energy into motion. For their size, muscle fibers are more powerful and precise than most synthetic actuators. They can even heal from damage and grow stronger with exercise.

For these reasons, engineers are exploring ways to power robots with natural muscles. They’ve demonstrated a handful of “biohybrid” robots that use muscle-based actuators to power artificial skeletons that walk, swim, pump, and grip. But for every bot, there’s a very different build, and no general blueprint for how to get the most out of muscles for any given robot design.

Now, MIT engineers have developed a spring-like device that could be used as a basic skeleton-like module for almost any muscle-bound bot. The new spring, or “flexure,” is designed to get the most work out of any attached muscle tissues. Like a leg press that’s fit with just the right amount of weight, the device maximizes the amount of movement that a muscle can naturally produce.

The researchers found that when they fit a ring of muscle tissue onto the device, much like a rubber band stretched around two posts, the muscle pulled on the spring, reliably and repeatedly, and stretched it five times more, compared with other previous device designs.

The team sees the flexure design as a new building block that can be combined with other flexures to build any configuration of artificial skeletons. Engineers can then fit the skeletons with muscle tissues to power their movements.

This 3D printer can figure out how to print with an unknown material

Researchers developed a 3D printer that can automatically identify the parameters of an unknown material on its own.
Photo Credit: Courtesy of the researchers
(CC BY-NC-ND 4.0 DEED)

While 3D printing has exploded in popularity, many of the plastic materials these printers use to create objects cannot be easily recycled. While new sustainable materials are emerging for use in 3D printing, they remain difficult to adopt because 3D printer settings need to be adjusted for each material, a process generally done by hand.

To print a new material from scratch, one must typically set up to 100 parameters in software that controls how the printer will extrude the material as it fabricates an object. Commonly used materials, like mass-manufactured polymers, have established sets of parameters that were perfected through tedious, trial-and-error processes.

But the properties of renewable and recyclable materials can fluctuate widely based on their composition, so fixed parameter sets are nearly impossible to create. In this case, users must come up with all these parameters by hand.

Researchers tackled this problem by developing a 3D printer that can automatically identify the parameters of an unknown material on its own.

World's first high-resolution brain developed by 3D printer

Franziska Chalupa-Gantner and Aleksandr Ovsianikov at work.
Photo Credit: Courtesy of Technische Universität Wien

In a joint project between TU Wien and MedUni Vienna, the world's first 3D-printed "brain phantom" has been developed, which is modelled on the structure of brain fibres and can be imaged using a special variant of magnetic resonance imaging (dMRI). As a scientific team led by TU Wien and MedUni Vienna has now shown in a study, these brain models can be used to advance research into neurodegenerative diseases such as Alzheimer's, Parkinson's and multiple sclerosis. The research work was published in the journal Advanced Materials Technologies.

Magnetic resonance imaging (MRI) is a widely used diagnostic imaging technique that is primarily used to examine the brain. MRI can be used to examine the structure and function of the brain without the use of ionizing radiation. In a special variant of MRI, diffusion-weighted MRI (dMRI), the direction of the nerve fibers in the brain can also be determined. However, it is very difficult to correctly determine the direction of nerve fibers at the crossing points of nerve fiber bundles, as nerve fibers with different directions overlap there. In order to further improve the process and test analysis and evaluation methods, an international team in collaboration with the TU Wien and the Medical University of Vienna developed a so-called "brain phantom", which was produced using a high-resolution 3D printing process.

Sandia collaboration produces improved microneedle technology

Adam Bolotsky demonstrates how Sandia National Laboratories, in collaboration with SRI, has enhanced the extraction of interstitial fluid. The improved extraction method gets more fluid in less time.
Photo Credit: Craig Fritz

Microneedles measure only two to three times the diameter of human hair and are about a millimeter long. But their impact is significant, from helping U.S. service members in the field diagnose infections earlier, to helping individuals monitor their own health.

Sandia National Laboratories is at the forefront of microneedle research and is partnering with others to expand the technology.

A microneedle is a minimally invasive way to sample interstitial fluid from under the skin. Interstitial fluid shares many similarities with blood, but there is still much to learn about it.

“When we started work in this field in 2011, our goal was to develop microneedles as a wearable sensor, as an alternate to blood samples,” said Ronen Polsky, who has led Sandia’s work in microneedles. Microneedles can access interstitial fluid for real-time and continuous measurements of circulating biomarkers.

“People wear continuous glucose monitors for blood sugar measurements,” Polsky said. “We want to expand this to a whole range of other conditions to take advantage of this minimally invasive sampling using microneedles.”

Scientists reveal the first unconventional superconductor that can be found in mineral form in nature

A miassite crystal grown by Paul Canfield.
Photo Credit: Paul Canfield

Scientists from Ames National Laboratory have identified the first unconventional superconductor with a chemical composition also found in nature. Miassite is one of only four minerals found in nature that act as a superconductor when grown in the lab. The team’s investigation of miassite revealed that it is an unconventional superconductor with properties similar to high-temperature superconductors. Their findings further scientists’ understanding of this type of superconductivity, which could lead to more sustainable and economical superconductor-based technology in the future.

Superconductivity is when a material can conduct electricity without energy loss. Superconductors have applications including medical MRI machines, power cables, and quantum computers. Conventional superconductors are well understood but have low critical temperatures. The critical temperature is the highest temperature at which a material acts as a superconductor.

In the 1980s, scientists discovered unconventional superconductors, many of which have much higher critical temperatures. According to Ruslan Prozorov, a scientist at Ames Lab, all these materials are grown in the lab. This fact has led to the general belief that unconventional superconductivity is not a natural phenomenon.

Prozorov explained that it is difficult to find superconductors in nature because most superconducting elements and compounds are metals and tend to react with other elements, like oxygen. He said that miassite (Rh17S15) is an interesting mineral for several reasons, one of which is its complex chemical formula. “Intuitively, you think that this is something which is produced deliberately during a focused search, and it cannot possibly exist in nature,” said Prozorov, “But it turns out it does.”

SwRI develops off-road autonomous driving tools focused on camera vision

SwRI is exploring using stereo cameras, or stereovision, as an alternative to lidar sensors in automated vehicles. SwRI's stereovision algorithms create disparity maps that estimate the depth of roadway features and obstacles. The left image shows how a conventional camera sees an off-road trail. The middle image shows a lidar image of the same trail. The right image shows a stereovision disparity map based on SwRI's algorithms, where colors indicate the distance of detected objects (yellow is near and blue is far). The gray/white in the lidar image suggests the outline of trees and a vehicle hood, but it does not indicate depth or distance.
Image Credit: Courtesy of Southwest Research Institute

Southwest Research Institute has developed off-road autonomous driving tools with a focus on stealth for the military and agility for space and agriculture clients. The vision-based system pairs stereo cameras with novel algorithms, eliminating the need for lidar and active sensors.

“We reflected on the toughest machine vision challenges and then focused on achieving dense, robust modeling for off-road navigation,” said Abe Garza, a research engineer in SwRI’s Intelligent Systems Division.

Through internal research, SwRI engineers developed a suite of tools known as the Vision for Off-Road Autonomy (VORA). The passive system can perceive objects, model environments and simultaneously localize and map while navigating off-road environments.

The VORA team envisioned a camera system as a passive sensing alternative to lidar, a light detection and ranging sensor, that emits active lasers to probe objects and calculate depth and distance. Though highly reliable, lidar sensors produce light that can be detected by hostile forces. Radar, which emits radio waves, is also detectable. GPS navigation can be jammed, and its signals are often blocked in canyons and mountains, which can limit agricultural automation.

More than flying cars: eVTOL battery analysis reveals unique operating demands

The operating phases of an eVTOL need varying amounts of power; some require the battery to discharge high amounts of current rapidly, reducing the distance the vehicle can travel before its battery must be recharged.
Illustration Credit: Andy Sproles/ORNL, U.S. Dept. of Energy

Researchers at the Department of Energy’s Oak Ridge National Laboratory are taking cleaner transportation to the skies by creating and evaluating new batteries for airborne electric vehicles that take off and land vertically. 

These aircraft, commonly called eVTOLs, range from delivery drones to urban air taxis. They are designed to rise into the air like a helicopter and fly using wing-borne lift like an airplane. Compared with helicopters, eVTOLs generally use more rotors spinning at a lower speed, making them both safer and quieter.

The airborne EV’s aren’t just flying cars, and ORNL researchers conclude that eVTOL batteries can’t just be adapted from electric car batteries. So far that has been the dominant approach to the technology, which is mostly in the modeling stage. ORNL researchers took a different tack by evaluating how lithium-ion batteries fare under extremely high-power draw. 

“The eVTOL program presents a unique opportunity for creating a brand-new type of battery with very different requirements and capabilities than what we have seen before," said Ilias Belharouak, an ORNL Corporate Fellow who guides the research. 

Reconfigurable electronics: More functionality on less chip area

Lukas Wind, Masiar Sistani und Walter Weber (left to right)
Photo Credit: Courtesy of Technische Universität Wien

Even the most complicated data processing on a computer can be broken down into small, simple logical steps: You can add individual bits together, you can reverse logical states, you can use combinations such as "AND" or "OR". Such operations are realized on the computer by very specific sets of transistors. These sets then form larger circuit blocks that carry out more complex data manipulations.

In the future, however, the design of electronic circuits could look completely different: For years, people have been thinking about the possibilities offered by electronic circuits that do not perform a physically fixed task, but can be switched flexibly depending on the task at hand – a new kind of reprogramming that does not take place at the software level, but at the fundamental hardware level: directly on the transistors, the nanoscale building blocks of electronic circuits.

This is exactly what a research team at TU Wien has now achieved: they have developed intelligent, controllable transistors and combined them into circuits that can be reliably and quickly switched back and forth between different tasks. This means that the same functionality as before can be accommodated on less chip space. This does not only save manufacturing costs, but also energy, and it enables higher computing speeds.

Exploring the Surface Properties of NiO with Low-Energy Electron Diffraction

Antiferromagnetic (AF) crystals like NiO are experiencing a renaissance as promising materials for ultrafast spintronics. To re-establish old experimental results of surface property investigations and present new theoretical analysis, researchers from Sophia University carried out low-energy electron diffraction (LEED) analysis of AF crystal NiO. They reported an I-V spectra of ‘half-order beam’ and observed a surface wave resonance effect, providing useful insights into energy-temperature dependence of LEED and coherent spin exchange scattering in NiO.

Spintronics is a field that deals with electronics that exploit the intrinsic spin of electrons and their associated magnetic moment for applications such as quantum computing and memory storage devices. Owing to its spin and magnetism exhibited in its insulator-metal phase transition, the strongly correlated electron systems of nickel oxide (NiO) have been thoroughly explored for over eight decades. Interest in its unique antiferromagnetic (AF) and spin properties has seen a revival lately, since NiO is a potential material for ultrafast spintronics devices.

Despite this rise in popularity, exploration of its surface magnetic properties using low-energy electron diffraction (LEED) technique has not received much attention since the 1970s. To review the understanding of the surface properties, Professor Masamitsu Hoshino and Emeritus Professor Hiroshi Tanaka, both from the Department of Materials and Life Sciences at Sophia University, Japan, revisited the surface LEED crystallography of NiO. The results of their quantitative experimental study investigating the coherent exchange scattering in Ni2+ ions in AF single crystal NiO were reported in The European Physical Journal D.

New dressing robot can ‘mimic’ the actions of care-workers

The world's first bimanual dressing robot system mimics how caregivers assist humans in dressing.
Photo Credit: Courtesy of University of York

Scientists have developed a new robot that can ‘mimic’ the two-handed movements of care-workers as they dress an individual.

Until now, assistive dressing robots, designed to help an elderly person or a person with a disability get dressed, have been created in the laboratory as a one-armed machine, but research has shown that this can be uncomfortable for the person in care or impractical. 

To tackle this problem, Dr Jihong Zhu, a robotics researcher at the University of York’s Institute for Safe Autonomy, proposed a two-armed assistive dressing scheme, which has not been attempted in previous research, but inspired by caregivers who have demonstrated that specific actions are required to reduce discomfort and distress to the individual in their care.

It is thought that this technology could be significant in the social care system to allow care-workers to spend less time on practical tasks and more time on the health and mental well-being of individuals. 

Diamonds are a chip's best friend

Highly precise optical absorption spectra of diamond reveal ultra-fine splitting
Illustration Credit: KyotoU/Nobuko Naka

Besides being "a girl's best friend," diamonds have broad industrial applications, such as in solid-state electronics. New technologies aim to produce high-purity synthetic crystals that become excellent semiconductors when doped with impurities as electron donors or acceptors of other elements.

These extra electrons -- or holes -- do not participate in atomic bonding but sometimes bind to excitons -- quasi-particles consisting of an electron and an electron hole -- in semiconductors and other condensed matter. Doping may cause physical changes, but how the exciton complex -- a bound state of two positively-charged holes and one negatively-charged electron -- manifests in diamonds doped with boron has remained unconfirmed. Two conflicting interpretations exist of the exciton's structure.

An international team of researchers led by Kyoto University has now determined the magnitude of the spin-orbit interaction in acceptor-bound excitons in a semiconductor.

"We broke through the energy resolution limit of conventional luminescence measurements by directly observing the fine structure of bound excitons in boron-doped blue diamond, using optical absorption," says team leader Nobuko Naka of KyotoU's Graduate School of Science.

A Novel Method for Easy and Quick Fabrication of Biomimetic Robots with Life-Like Movement

Ultraviolet-laser processing is a promising technique for developing intricate microstructures, enabling complex alignment of muscle cells, required for building life-like biohybrid actuators, as shown by Tokyo Tech researchers. Compared to traditional complex methods, this innovative technique enables easy and quick fabrication of microstructures with intricate patterns for achieving different muscle cell arrangements, paving the way for biohybrid actuators capable of complex, flexible movements.

Biomimetic robots, which mimic the movements and biological functions of living organisms, are a fascinating area of research that can not only lead to more efficient robots but also serve as a platform for understanding muscle biology. Among these, biohybrid actuators, made up of soft materials and muscular cells that can replicate the forces of actual muscles, have the potential to achieve life-like movements and functions, including self-healing, high efficiency, and high power-to-weight ratio, which have been difficult for traditional bulky robots that require heavy energy sources. One way to achieve these life-like movements is to arrange muscle cells in biohybrid actuators in an anisotropic manner. This involves aligning them in a specific pattern where they are oriented in different directions, like what is found in living organisms. While previous studies have reported biohybrid actuators with significant movement using this technique, they have mostly focused on anisotropically aligning muscle cells in a straight line, resulting in only simple motions, as opposed to the complex movement of native muscle tissues such as twisting, bending, and shrinking. Real muscle tissues have a complex arrangement of muscle cells, including curved and helical patterns.

New Algorithm Disentangles Intrinsic Brain Patterns from Sensory Inputs

Image Credit: Omid Sani, Using Generative Ai

Maryam Shanechi, Dean’s Professor of Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of visual inputs.

The work has been published in the Proceedings of the National Academy of Sciences (PNAS).

When performing various everyday movement behaviors, such as reaching for a book, our brain has to take in information, often in the form of visual input — for example, seeing where the book is. Our brain then has to process this information internally to coordinate the activity of our muscles and perform the movement. But how do millions of neurons in our brain perform such a task? Answering this question requires studying the neurons’ collective activity patterns, but doing so while disentangling the effect of input from the neurons’ intrinsic (aka internal) processes, whether movement-relevant or not.

That’s what Shanechi, her PhD student Parsa Vahidi, and a research associate in her lab, Omid Sani, did by developing a new machine-learning method that models neural activity while considering both movement behavior and sensory input.

Artificial cartilage with the help of 3D printing

The spheroids in which living cells are grown, can be assembled into almost any shape.
Image Credit: Technische Universität Wien

A new approach to producing artificial tissue has been developed at TU Wien: Cells are grown in microstructures created in a 3D printer.

Is it possible to grow tissue in the laboratory, for example to replace injured cartilage? At TU Wien (Vienna), an important step has now been taken towards creating replacement tissue in the lab - using a technique that differs significantly from other methods used around the world.

A special high-resolution 3D printing process is used to create tiny, porous spheres made of biocompatible and degradable plastic, which are then colonized with cells. These spheroids can then be arranged in any geometry, and the cells of the different units combine seamlessly to form a uniform, living tissue. Cartilage tissue, with which the concept has now been demonstrated at TU Wien, was previously considered particularly challenging in this respect.

Blue PHOLEDs: Final color of efficient OLEDs finally viable in lighting

Jaesang Lee, Electrical Engineering PhD Student, demonstrates use of an earlier blue PHOLED innovation by University of Michigan professor Steve Forrest’s research group in 2014. Forrest’s lab introduced PHOLEDs to the world in the early 2000s and has been trying to improve the lifetime of blue PHOLEDs ever since. Now, they might finally be hardy enough to use in lighting applications. Image credit: Joseph Xu, Michigan Engineering Communications & Marketing The blue LEDs were developed in EECS Professor Stephen Forrest’s lab groups and are for use in cell phones, tablets, and other electronics. The LEDs’ lifetime has been enhanced by a factor of ten, allowing for more efficient use.
Photo Credit: Joseph Xu, Michigan Engineering Communications & Marketing

Lights could soon use the full color suite of perfectly efficient organic light-emitting diodes, or OLEDs, that last tens of thousands of hours, thanks to an innovation from physicists and engineers at the University of Michigan.

The U-M team’s new phosphorescent OLEDs, commonly referred to as PHOLEDs, can maintain 90% of the blue light intensity for 10-14 times longer than other designs that emit similar deep blue colors. That kind of lifespan could finally make blue PHOLEDs hardy enough to be commercially viable in lights that meet the Department of Energy’s 50,000-hour lifetime target. Without a stable blue PHOLED, OLED lights need to use less-efficient technology to create white light.

The lifetime of the new blue PHOLEDs currently is only long enough to use as lighting, but the same design principle could be combined with other light-emitting materials to create blue PHOLEDs hardy enough for TVs, phone screens and computer monitors. Display screens with blue PHOLEDs could potentially increase a device’s battery life by 30%.