Conjugated polymers (CPs) have emerged as an interesting class of materials in modern electronics and photonics, characterized by their unique delocalized π-electron systems that confer high flexibility, tunable electronic properties, and solution processability. These organic polymers present a compelling alternative to traditional inorganic semiconductors, offering the potential for a new generation of optoelectronic devices. This review explores the evolving role of CPs, exploring the molecular design strategies and innovative approaches that enhance their optoelectronic properties. We highlight notable progress toward developing faster, more efficient, and environmentally friendly devices by analyzing recent advancements in CP-based devices, including organic photovoltaics, field-effect transistors, and nonvolatile memories. The integration of CPs in flexible sustainable technologies underscores their potential to revolutionize future electronic and photonic systems. As ongoing research pushes the frontiers of molecular engineering and device architecture, CPs are poised to play an essential role in shaping next-generation technologies that prioritize performance, sustainability, and adaptability.

Could the future of clean energy hinge on the spin of a single electron? A new scientific review suggests it might. Researchers are turning to the quantum world—specifically, electron spin—to unlock new possibilities for high-performance electrocatalysts that drive green energy reactions. By fine-tuning how electrons spin within catalyst materials, scientists are finding ways to accelerate reactions such as oxygen reduction, oxygen evolution, carbon dioxide conversion, and nitrogen fixation. The study introduces emerging strategies—from atomic doping to magnetic field modulation—that allow precise control over catalytic behavior. This marks a bold step toward engineering smarter, faster, and more sustainable catalysts for tomorrow’s energy solutions.

This study is pleased to present a seminal study examining reserve management strategies across 45197 company-line-year observations from 2000-2012. The research pioneers line-of-business-level analysis to disentangle insurers' multidimensional incentives—tax optimization versus solvency management—through structural reserve adjustments. Employing two-way clustered fixed-effects models and regulatory policy shocks, the study establishes causal evidence of strategic reserve allocation patterns previously undocumented in actuarial literature.

Researchers from Nanjing University of Science and Technology have developed a novel computational method called BlastGraphNet, which uses graph neural networks to predict the distribution of blast loads on complex 3D buildings. This data-driven approach offers significant improvements in accuracy and efficiency compared to traditional methods, with potential applications in structural design, civil defense, and safety assessments. The study, published in Engineering, demonstrates the model’s ability to provide rapid and precise predictions of blast loads, supporting more effective risk management and engineering solutions.

This study evaluated the impact of drinking water, sanitation, and hygiene (WASH) on cholera across 89 low- and middle-income countries. Protective effects against cholera were observed for certain types of improved WASH facilities (e.g., piped water), while harmful effects were noted for unimproved facilities (e.g., open defecation). The disparities in WASH access contributed to inequalities in cholera burden across different regions under the United Nations Sustainable Development Goals (UN SDG) framework.