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Tech & Engineering

Updates every hour. Last Updated: 30-Oct-2026 10:16 ET (30-Oct-2026 14:16 GMT/UTC)

First experimental evidence shows strong stellar magnetic fields suppress coronal mass ejections

Technion-Israel Institute of Technology
Peer-Reviewed Publication

An international team of astrophysicists and plasma physicists has provided the first experimental evidence that strong stellar magnetic fields can completely suppress coronal mass ejections (CMEs), offering a possible explanation for why these massive plasma eruptions are rarely observed on stars other than the Sun. By combining high-energy laser-plasma experiments, astrophysical simulations, and advanced 3D modeling, the researchers recreated key conditions of stellar CMEs in the laboratory. They found that while plasma flows could propagate under weaker magnetic fields, stronger fields caused them to become unstable, fragment, and ultimately stop. The results indicate that magnetic fields of about 100 gauss can effectively confine CME-like eruptions. The international collaboration included researchers from the Leibniz Institute for Astrophysics Potsdam (AIP) and Prof. Julien Fuchs of École Polytechnique and the Technion – Israel Institute of Technology.

Journal: Physical Review Letters

HKUST study reveals inter-city collaboration on emission reduction boosts sustainability performance Hong Kong benefits from GBA industrial upgrades

Hong Kong University of Science and Technology
Peer-Reviewed Publication

A large-scale international study led by The Hong Kong University of Science and Technology (HKUST) has revealed that inter-city collaboration on emission reduction can improve overall sustainability performance by more than 10%. This comprehensive analysis covers 4,116 cities and spans 11 years of data, shedding new light on regional and global strategies towards achieving the United Nations Sustainable Development Goals (SDGs).

Journal: Nature Communications

Symmetry-imbued Hamiltonian neural operator architecture for stress field prediction of porous metamaterials

ELSP
Peer-Reviewed Publication

Researchers from Zhejiang University and Zhejiang Advanced CNC Machine Tool Technology Innovation Center, China, have developed a Symmetry-Imbued Hamiltonian Neural Operator (SIHNO) for predicting stress fields in porous metamaterials. The proposed architecture combines rotation-equivariant geometric representations with a Hamiltonian-inspired energy structure to improve prediction accuracy and robustness under different structural orientations.

The framework integrates a Rotation-Steerable Lattice Projector (RSLP), a Hamiltonian-Fueled Propagator (HFP), and a slice-aware convolutional decoder to address two challenges in stress field prediction: orientation bias caused by fixed coordinate representations and non-physical stress leakage near void-solid interfaces.

In comprehensive numerical experiments based on finite-element-generated stress fields, SIHNO outperformed several established neural operator and physics-informed models across multiple evaluation metrics. The model also maintained millisecond-level inference speed, highlighting its potential for rapid stress prediction in additive manufacturing applications.

Journal: Advanced Manufacturing

Researchers at Saitama University transform polyamide microplastics into light-emitting carbon quantum dots for UV-blocking food packaging

Saitama University
Peer-Reviewed Publication

A research team at Saitama University has developed a sustainable strategy for converting polyamide microplastics into defect-engineered carbon quantum dots and incorporating them into poly(vinyl alcohol) films for food-packaging applications. The resulting transparent, flexible, luminescent composite films showed tunable optical properties, strong UV-blocking performance, good photostability, and the ability to reduce fruit weight loss during grape storage tests.

Journal: Materials Research Bulletin
Funder: Japan Society for the Promotion of Science, Japanese Ministry of Education, Culture, Sports, Science and Technology

Mirror-image molecules put a new spin on perovskite solar cells

The University of Osaka
Peer-Reviewed Publication

Researchers at the University of Osaka developed chiral hole-transport materials that selectively conduct electrons according to spin. Across three classes of materials, molecular handedness consistently determined the direction of spin polarization. The homochiral material also showed nearly threefold higher hole mobility and improved charge extraction and surface passivation in perovskite solar cells, highlighting new possibilities for controlling spin, charge transport, and interfaces through molecular design.

Journal: Small
Funder: Japan Society for the Promotion of Science, Japan Science and Technology Agency

Neural implant in Korea remotely controlled from the United States, bringing brain research into the IoT era

The Korea Advanced Institute of Science and Technology (KAIST)
Peer-Reviewed Publication

• KAIST and Yonsei University College of Medicine develop a miniaturized wireless brain implant capable of drug delivery, light stimulation, and IoT-based remote control

• A researcher in Chicago successfully operates a brain implant in Daejeon, Korea, in real time — demonstrating the feasibility of location-independent brain research

• Enables long-term, repeated experiments in freely moving animals, paving the way for advances in addiction, depression, and neurodegenerative disease research, as well as next-generation smart implantable therapies.

Journal: Science Advances
Funder: National Research Foundation of Korea, Ministry of Science and ICT, Ministry of Trade, Industry and Energy

MSU receives $30M NSF grant to establish turbulence research center

Michigan State University
Grant and Award Announcement

Michigan State University has received a $30 million grant from the National Science Foundation, or NSF, beginning Sept. 1, to establish Transformative Explorations in Multi-Physics and Engineering of Scientific Turbulence or TEMPEST, a new Science and Technology Center, or STC, bringing together physicists, mathematicians, engineers and AI researchers to focus on one of science’s most difficult problems: understanding and controlling turbulence.

Researchers clear major obstacle in genetic engineering of proteins

Harvard Medical School
Peer-Reviewed Publication

A new tool allows researchers to design and produce synthetic proteins faster, more safely, and at larger scale than previously possible. Each protein can contain up to 34 custom amino acids rather than the naturally occurring 20. The work promises to expand the development of novel protein-based medicines and other materials. The technology arises from a discovery that overturns decades of understanding of how transfer RNAs (tRNAs) help turn the genetic code into proteins.

Journal: Nature

New approach cuts sepsis diagnosis from days to hours, researchers report

Penn State
Peer-Reviewed Publication

A team led by an engineer at Penn State has developed a way to identify the bacteria responsible for a bloodstream infection — a main cause of sepsis. Using their new technique, the researchers condensed a days-long diagnosis timeline to just hours, potentially offering an approach that could help clinical treatment decision-making that avoids worsening antibiotic resistance in the bacterial strains behind infections.

Journal: Science Advances