Articles tagged with Activation Energy
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
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Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers at IISc and Caltech use simulations to map energy landscape for electron movement in PSII, finding D2 branch has higher energy barrier preventing electron transport. The team suggests tweaking components can boost or rewire electron flow across PSII.
A study published in Nature Materials reveals that cooperative particle rearrangements influence structural order and dynamic behavior in glass-forming liquids. The researchers identified a key process called T1, which maintains local order and leads to super-Arrhenius behavior.
Researchers have developed a novel support material called BaAl2O4-xHy that enhances the catalytic activity of cobalt nanoparticles, allowing for record-breaking ammonia production at low temperatures. The catalyst demonstrates improved activation energy and high reusability.
A team of scientists, led by Dr. Tor Savidge, has proposed a novel mechanism for enzymatic catalytic power, integrating transition state stabilization and ground state destabilization. This new understanding has significant implications for drug design applications and microbial enzymatic catalysis.
Researchers at Waseda University demonstrate a novel zirconocene-catalyzed epoxide ring-opening reaction under visible light, expanding the reaction scope and regioselectivity. The approach enables accessible synthesis of elusive alcohol products with improved efficiency and environmental sustainability.
A new machine-learning framework has been developed to improve the design of catalysts, which speed up chemical reactions. The approach analyzes the conversion of carbon monoxide to methanol using a copper-based catalyst and identifies key steps that need to be tweaked to increase productivity.
Scientists at Tokyo Tech have synthesized a new material, SrYbInO4, which exhibits high oxide-ion conductivity and is the first example of pure oxide-ion conductors with a CaFe2O4-type structure. The material has a lower activation energy for oxide-ion conductivity compared to CaFe2O4.
Researchers found that pyrrole molecule movement is affected by quantum laws, changing the energy landscape and impacting the whole molecule. The study's results suggest that 'zero-point energy' plays a crucial role in the molecule's diffusion on metal surfaces.
Researchers have devised a model of oxygen-ion dynamics that contribute to the conductivity of yttria stabilized zirconia (YSZ), a material of great interest in electrochemical devices. By understanding oxygen-ion diffusion, scientists aim to reduce fuel cell operating temperatures from above 700°C to room temperature.
Researchers at Harvard University have demonstrated the activation energy of impurities in semiconductor nanowires is affected by surrounding dielectric, which can be modified to optimize device performance. The study confirms the dielectric confinement effect, a key phenomenon in doping and conduction in nanostructures.