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Chemists use sea sponge bacteria to create new molecules for drug discovery

Florida State University chemists have synthesized new molecules derived from bacteria found in a Pacific Ocean sea sponge, a breakthrough for the future of drug development, particularly for rare forms of cancer.

“Around 50% of approved drugs are either natural products or derivatives of natural products,” said Zackary Firestone, a fourth-year doctoral student in FSU’s Department of Chemistry and Biochemistry, and the study’s lead author. “Synthetic access to these molecules is important because it allows for easier procurement for biological testing as well as the making of new derivatives.”

The research team is the first to successfully synthesize two new marine natural products: tetradehydrohalicyclamine B and epi-tetradehydrohalicyclamine B. Both were isolated from bacteria that lives in symbiosis with Acanthostrongylophora ingens, a Pacific-dwelling sea sponge.

Migrating charges unlock hard-to-reach C-H bond edits in organic molecules

A team at the University of Vienna, led by chemist Nuno Maulide, has developed a new method for controlling chemical reactions in a more targeted and efficient manner. At the heart of this is the concept of “cation sampling”: specially selected groups (ketones), in a sense, function as molecular signposts for randomly migrating positive charges, enabling reactions to take place at sites on a molecule that were previously difficult to access. The method allows carbon-hydrogen bonds (C–H bonds) to be specifically modified. The study was published in the Journal of the American Chemical Society.

Organic molecules form the basis of almost all biological processes. They consist mainly of carbon and hydrogen—and hydrogen atoms in particular are very common in such molecules. “If you want to alter the properties of a molecule, you often have to specifically replace individual hydrogen atoms,” explains Philipp Spieß, a former Ph.D. student in the Maulide group and one of the study’s lead authors.

The precise modification of C–H bonds is therefore considered one of the key challenges of modern synthetic chemistry. It plays an important role in the development of new drugs, functional materials and more efficient chemical processes.

Visualizing sound: Scientists reveal hidden behaviors of sound waves

An international team of scientists has developed a new analysis of how sound waves behave, revealing surprising effects that have largely been overlooked for decades. In the new paper in Scientific Reports, which was led by researchers from City St George’s, University of London, the team explored how sound waves move through air and how those movements might be perceived visually.

Sound travels as a longitudinal wave, meaning air molecules vibrate back and forth rather than moving up and down like waves in a violin string. These vibrations are usually assumed to be smooth and regular, and as a physical phenomenon they form the basis of acoustics and some forms of seismic transmission. However, the new theoretical analysis of physical longitudinal wave motion reveals that the behavior of sound waves changes dramatically when they become stronger (i.e. above 160 dB at 10 kHz, which is similar to the noise level inside a high-pitched jet engine), and the prior assumptions are only true for moderate sounds.

Using computer simulations, the researchers—namely Professor Christopher Tyler and Professor Joshua Solomon at City St George’s and Professor Stuart M. Anstis from the University of California, San Diego—created animations where each dot represents an air molecule. Each dot moves back and forth in place, slightly out of step with its neighbors. This tiny delay between dots creates the appearance of a wave traveling through space as the dots move back and forth in place, just as sound does in real life.

New chip offers way to make use of quantum system ‘imperfections’

Quantum technologies promise powerful new kinds of computers, giving scientists new tools to mimic and explore nature at its tiniest scales. At those levels, everything in nature—from atoms and electrons to light itself—follows the strange rules of quantum mechanics. But the real world is never perfectly clean: Signals fade, energy leaks away and systems pick up noise from their surroundings.

“Understanding how quantum systems behave under this messiness is crucial if we want our experiments to say something about nature as it really is, not just idealized setups,” says Govind Krishna, Ph.D. student at KTH Royal Institute of Technology.

Open-source framework lets drones dodge obstacles in milliseconds while minimizing travel time

In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors. But this remains an extremely challenging problem for an autonomous robot, which would need to swiftly adjust its trajectory to avoid sudden obstacles while staying on course.

Researchers from MIT and the University of Pennsylvania developed a new trajectory-planning system that tackles both challenges at once. Their technique enables a UAV to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel time.

Their system uses a new mathematical formulation that ensures the robot travels safely to its destination along a feasible path, and that is less computationally intensive than other techniques. In this way, it generates smoother trajectories faster than state-of-the-art methods.

Overlooked ‘history force’ may skew particle motion by up to 60% in shaken fluids

Physicists at the University of Bayreuth have investigated the so-called Basset–Boussinesq history force acting on particles in fluids. Due to the difficulty of calculating it, this force is often neglected—a fact that Bayreuth doctoral researcher Frederik Gareis already identified as a secondary school pupil during a student research project with his supervisor. The researchers report their new findings on the history force in Physical Review Fluids.

When particles move in liquids or air with velocities that change over time, several forces act on them, including the often overlooked history force. It arises from the formation of vortices around accelerating particles in fluids. In this way, the surrounding fluid “remembers” previous particle motions and influences their subsequent movement.

“The history force is often ignored because it is mathematically complex and makes calculations significantly more demanding. It is frequently unclear whether neglecting it leads to larger errors in modeling particle motion in fluids,” says Frederik Gareis, a doctoral researcher at the Theoretical Physics I research group at the University of Bayreuth and first author of the study.

Quantum-centric supercomputing simulates 12,635-atom protein

The scale of chemistry simulations with quantum computing has increased dramatically in just the last few months. In the latest milestone for the field, researchers from Cleveland Clinic, RIKEN, and IBM used a quantum-centric supercomputing (QCSC) framework to calculate the electronic structure of a pair of large protein-ligand complexes, reaching a scale of 12,635 atoms in the largest simulation.

The molecules were T4-Lysozyme, a protein from a family of proteins involved in the immune system degradation of peptidoglycans in bacterial membranes, and Trypsin, produced in the pancreas and used in digestion. The team simulated these proteins binding to molecules they interact with in nature and immersed in a liquid water solution, at scales of 11,608 atoms and 12,635 atoms respectively. Bringing together an international team of researchers from across the United States and Japan made it possible to develop the necessary algorithm and workflow enhancements to reach this milestone.

The researchers achieved this scale just four months after modeling the 303-atom miniprotein Trp-cage using quantum computing for the first time. Today’s new result not only demonstrates a 40-fold increase in system size compared to the Trp-cage result, it represents a 210-times improvement in accuracy from previous state-of-the-art QCSC approaches in a specific step of the workflow.

Hybrid projector delivers super-resolution images across extended depth with 16-fold gain

Researchers at the University of California, Los Angeles (UCLA) have developed a novel image projection system that delivers super-resolution images over an extended depth of field. By combining a neural network-based digital encoder with a passive all-optical diffractive decoder, the system drastically compresses image data for efficient transmission of image information. This platform operates without extra power at the decoding stage, promising advancements for next-generation virtual and augmented reality displays.

The study is published in the journal Light: Science & Applications.

A research team led by Professors Aydogan Ozcan and Mona Jarrahi, along with UCLA graduate student Hanlong Chen, designed a system that divides the image projection workload into two parts.

Beyond 0 and 1: Ferrotoroidic material can store four magnetic states

Today’s computers store information using only two values: 0 and 1. But as electronic devices become smaller and reach their limits, scientists are searching for new ways to pack more information into the same space. One idea is to use magnetism. In some materials, atoms behave like tiny magnets that can arrange themselves in different patterns. If each pattern represents a different value, one memory element could store more than just two possibilities.

In a study recently published in Nature Communications, researchers have found a material in which these atomic magnets can form four different magnetic states. They showed that these states can be controlled using electric and magnetic fields and remain stable once created.

Using neutron experiments at the Institut Laue-Langevin, the scientists were able to observe each of the four magnetic states that were created by applying electric and magnetic fields. This discovery hints at a future where computers might store significantly more information than today’s binary technologies.

Laser processes to enable robust, miniaturized beam sources for quantum technology

In the HiPEQ project, a consortium of industry and research partners has developed new laser-based approaches to enable miniaturized, robust beam sources for quantum technology. Among others, the consortium also used lasers to grow novel optical insulator crystals. The project achieved significant progress from November 2021 to July 2025. Fraunhofer ILT in Aachen played a key role by co-developing the laser processes needed.

Currently, beam sources for quantum technology applications are often complex, large, and not robust enough for field use. What is needed, then, are miniaturized systems that are as versatile as possible. The BMFTR-funded project “HiPEQ—Highly Integrated PIC-Based ECDLs for Quantum Technology” has developed such a beam source.

Coordinated by TOPTICA, later a systems integrator, a consortium of industry and research partners has built prototypes of two miniaturized laser sources. With external dimensions of just 22 × 9 x 6 cm³, they provide enough space for all system components. The design can also be adapted to other wavelengths, making them suitable for a wide range of quantum technology applications.

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