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Category: engineering

A mathematical ‘Rosetta Stone’ translates and predicts the larger effects of molecular systems

Penn Engineers have developed a mathematical “Rosetta Stone” that translates atomic and molecular movements into predictions of larger-scale effects, like proteins unfolding, crystals forming and ice melting, without the need for costly, time-consuming simulations or experiments. That could make it easier to design smarter medicines, semiconductors and more.

In a recent paper in Journal of the Mechanics and Physics of Solids, the Penn researchers used their framework, stochastic thermodynamics with internal variables (STIV), to solve a 40-year problem in phase-field modeling, a widely used tool for studying the shifting frontier between two states of matter, like the boundary between water and ice or where the folded and unfolded parts of a protein join.

“Phase-field modeling is about predicting what happens at the thin frontier between phases of matter, whether it’s proteins folding, crystals forming or ice melting,” says Prashant Purohit, Professor in Mechanical Engineering and Applied Mechanics (MEAM) and one of the paper’s co-authors. “STIV gives us the mathematical machinery to describe how that frontier evolves directly from first principles, without needing to fit data from experiments.”

Fano interference of photon pairs from a metasurface

Two-photon interference, a quantum phenomenon arising from the principle of indistinguishability, is a powerful tool for quantum state engineering and plays a fundamental role in various quantum technologies. These technologies demand robust and efficient sources of quantum light, as well as scalable, integrable, and multifunctional platforms. In this regard, quantum optical metasurfaces (QOMs) are emerging as promising platforms for the generation and engineering of quantum light, in particular pairs of entangled photons (biphotons) via spontaneous parametric down-conversion (SPDC). Due to the relaxation of the phase-matching condition, SPDC in QOMs allows different channels of biphoton generation, such as those supported by overlapping resonances, to occur simultaneously. In previously reported QOMs, however, SPDC was too weak to observe such effects.

Taking the shock out of predicting shock wave behavior with precise computational modeling

Shock waves should not be shocking—engineers across scientific fields need to be able to precisely predict how the instant and strong pressure changes initiate and dissipate to prevent damage. Now, thanks to a team from Yokohama National University, those predictions are even better understood.

In work published on Aug. 19 in the Physics of Fluids, the researchers detailed how computational models used to simulate wave behavior represent the very weak in a way that is distinctly different from both theoretical predictions and physical measurements.

Shock waves comprise the pressure that pushes out from an explosion or from an object moving faster than sound, like a supersonic jet. Weak shockwaves refer to the same changes in pressure, density and velocity, but they are much smaller than the larger waves and move closer to the speed of sound. However, current computational modeling approaches have difficulty accurately representing these very weak shock waves, according to co-author Keiichi Kitamura, professor, Faculty of Engineering, Yokohama National University.

Curved nanosheets in anode help prevent battery capacity loss during fast charging

As electric vehicles (EVs) and smartphones increasingly demand rapid charging, concerns over shortened battery lifespan have grown. Addressing this challenge, a team of Korean researchers has developed a novel anode material that maintains high performance even with frequent fast charging.

A collaborative effort by Professor Seok Ju Kang in the School of Energy and Chemical Engineering at UNIST, Professor Sang Kyu Kwak of Korea University, and Dr. Seokhoon Ahn of the Korea Institute of Science and Technology (KIST) has resulted in a hybrid anode composed of graphite and organic nanomaterials. This innovative material effectively prevents capacity loss during repeated fast-charging cycles, promising longer-lasting batteries for various applications. The findings are published in Advanced Functional Materials.

During battery charging, lithium ions (Li-ions) move into the , storing energy as Li atoms. Under rapid charging conditions, excess Li can form so-called “dead lithium” deposits on the surface, which cannot be reused. This buildup reduces capacity and accelerates battery degradation.

Researchers pioneer fluid-based laser scanning for brain imaging

When Darwin Quiroz first started working with optics as an undergraduate, he was developing atomic magnetometers. That experience sparked a growing curiosity about how light interacts with matter, an interest that has now led him to a new technique in optical imaging.

Quiroz, a Ph.D. student in the Department of Electrical, Computer and Energy Engineering at the University of Colorado Boulder, is co-first author of a new study that demonstrates how a fluid-based known as an electrowetting prism can be used to steer lasers at high speeds for advanced imaging applications.

The work, published in Optics Express, conducted along with mechanical engineering Ph.D. graduate Eduardo Miscles and Mo Zohrabi, senior research associate, opens the door to new technologies in microscopy, LiDAR, optical communications and even brain imaging.

3D-printed metamaterials harness complex geometry to dampen mechanical vibrations

In science and engineering, it’s unusual for innovation to come in one fell swoop. It’s more often a painstaking plod through which the extraordinary gradually becomes ordinary.

But we may be at an inflection point along that path when it comes to engineered structures whose are unlike anything seen before in nature, also known as mechanical metamaterials. A team led by researchers at the University of Michigan and the Air Force Research Laboratory (AFRL) has shown how to 3D print intricate tubes that can use their to stymie vibrations.

Such structures could be useful in a variety of applications where people want to dampen vibrations, including transportation, civil engineering and more. The team’s new study, published in the journal Physical Review Applied, builds on decades of theoretical and computational research to create structures that passively impede vibrations trying to move from one end to the other.

Artificial muscle can switch from soft to rigid to support 4,000 times its own weight

A research team affiliated with UNIST has unveiled a new type of artificial muscle that can seamlessly transition from soft and flexible to rigid and strong—much like rubber transforming into steel. When contracting, this innovative muscle can lift many times its own weight, delivering energy output far surpassing that of human muscles.

Led by Professor Hoon Eui Jeong in the Department of Mechanical Engineering at UNIST, the research team has successfully created a soft artificial muscle capable of dynamically adjusting its stiffness.

The study is published online in Advanced Functional Materials.

Freely levitating rotor spins out ultraprecise sensors for classical and quantum physics

With a clever design, researchers have solved eddy-current damping in macroscopic levitating systems, paving the way for a wide range of sensing technologies.

Levitation has long been pursued by stage magicians and physicists alike. For audiences, the sight of objects floating midair is wondrous. For scientists, it’s a powerful way of isolating objects from external disturbances.

This is particularly useful in the case of rotors, as their torque and , used to measure gravity, gas pressure, momentum, among other phenomena in both classical and , can be strongly influenced by friction. Freely suspending the rotor could drastically reduce these disturbances, and now, researchers from the Okinawa Institute of Science and Technology (OIST) have designed, created, and analyzed such a macroscopic device, bringing the magic of near-frictionless levitation down to Earth through precision engineering.

Multimode quantum entanglement achieved via dissipation engineering

A research team led by Prof. Lin Yiheng from the University of Science and Technology of China (USTC), collaborating with Prof. Yuan Haidong from the Chinese University of Hong Kong, succeeded in generating multipartite quantum entangled states across two, three, and five modes using controlled dissipation as a resource. Their study is published in Science Advances.

Multimode entanglement is a key resource in quantum computation, communication, simulation, and sensing. One of the major challenges in achieving stable and scalable multimode entanglement lies in the inherent susceptibility of quantum systems to environmental noise—a phenomenon known as . To mitigate dissipative effects, conventional preparation methods often require isolating the system from its surroundings.

Recent theoretical and experimental works have revealed an innovative perspective: when properly engineered, dissipation can be transformed into a resource for generating specific quantum states—known as dissipation engineering. However, previous related experiments were confined to single-mode and two-mode quantum systems, and significant challenges remain in the experimental realization of entangled states across multimode bosonic systems.

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