Technical institutes
Researchers from the University of Technology in Dengkil, Selangor, Malaysia, have made significant findings in the field of nanotechnology, exploring the effects of nano-sized Ni0.5Zn0.5Fe2O4 (NZFO) addition on the superconducting properties of Bi1.6Pb0.4Sr2CaCu2O8 (Bi-2212) samples. Their study, funded by Universiti Teknologi MARA, demonstrates the potential of
Technical institutes
Physicists and materials scientists at Bauman Moscow State Technical University have made significant breakthroughs in the development of physics-informed neural networks (PINNs) for polymer science. The researchers, led by Vadim Tynchenko, have successfully integrated data-driven learning with governing physical laws to create a powerful tool for predicting polymer properties, designing
Technical institutes
Researchers from the Nagoya Institute of Technology have discovered an unexpected influence of steric factors in strand polymers, which can sometimes outweigh the strand mobility determined by glass transition temperature (Tg). This study, published in ACS Applied Polymer Materials, explores the concept of covalent adaptive networks (CANs) and their potential
Technical institutes
Researchers from the Qilu University of Technology (Shandong Academy of Sciences) have made a significant discovery in the field of engineering, developing a novel method for the simultaneous extraction and quantification of chlorophenols in leather matrices. The new method, which combines multi-template molecularly imprinted materials (mt-MIPs) with high-performance liquid chromatography
Technical institutes
Researchers from the Dalian University of Technology have made a significant discovery in the field of molecular devices, developing standardized switchable molecular devices that can efficiently process and record temporal molecular events. The devices, known as DNA reaction networks (DRNs), have opened up new avenues for processing molecular temporal information,
Technical institutes
A new study published in the Journal of Colloid and Interface Science has shed light on the photocatalytic degradation of tetracycline using ZnInS. Researchers from the Wuhan University of Technology in Hubei, People's Republic of China, have discovered that the deactivation of ZnInS is caused by the breakage
Technical institutes
A team of researchers from the Tianjin University of Technology has made significant progress in the field of artificial intelligence (AI), with a new approach to designing metamaterials with tailored functionalities. Building on advancements in nanoparticle synthesis and assembly control methods over the past three decades, the researchers have proposed
Technical institutes
Research conducted by scientists from the Tianjin University of Technology has led to a major breakthrough in photocatalytic CO2 reduction, according to a report published in the Angewandte Chemie International Edition. The team, led by Zhao-Ming Ge, has designed and synthesized three innovative metal complexes that demonstrate a remarkable ability
Technical institutes
Hubei University of Technology researchers have successfully developed a novel gait design for serpentine robots that can smoothly wrap around and traverse vibration-damping hammers along overhead power lines. According to the study, the proposed gait design utilizes cubic quasi-uniform B-spline curves to seamlessly transition between helical segments of varying diameters
Technical institutes
Researchers at Dalian University of Technology in China have made significant progress in the development of capsule robots, essential for medical operations in the gastrointestinal tract. A recent study proposes a posture detection technique for magnetic-actuated dual-hemisphere capsule robots, allowing for fixed-point posture adjustment and accurate closed-loop control. The research
Technical institutes
Researchers from the Harbin Institute of Technology have developed a novel dynamic walking control framework for humanoid robots, which enhances the dynamic performance and robustness of the robot's walking control. The proposed framework integrates an efficient footstep planner and Task Space Inverse Dynamics based Whole Body Controller (TSID-WBC)
Technical institutes
Research conducted at the California Institute of Technology (Caltech) has led to significant advancements in the field of reinforcement learning. By utilizing a distributionally robust formulation, the researchers have proposed a model-based algorithm that combines distributionally robust value iteration with the principle of pessimism in the face of uncertainty. This
