Articles tagged with Thermodynamics
Researchers have discovered significant deviations in dynamic phase transitions that occur when dynamics is slow, unlike conventional thermodynamic phase transitions. These findings suggest a distinct difference between DPTs and TPTs, highlighting the importance of studying non-equilibrium dynamic phenomena.
Researchers use simulation tools to analyze and optimize soft robotic systems, increasing their utility through predictive approaches and thermodynamic perspectives. The study highlights the importance of considering machine design and performance in achieving widespread adoption.
Researchers have published a new study that explicitly quantifies the thermodynamic scale of metastability for almost 30,000 known materials. This understanding paves the way for designing and making promising next-generation materials with superior properties.
Researchers develop a solution to Hans Selye's hypothesis on adaptation energy, which has puzzled scientists for almost 80 years. The new theory predicts phenomena such as oscillating death and remission without exogenous reasons, providing an instrument for early crisis anticipation.
University of Oregon scientists have developed a new method to simulate multiscale systems, accurately reproducing structure and thermodynamic quantities. This breakthrough enables more reliable and efficient simulations, potentially revolutionizing fields like biology and material engineering.
Scientists at the University of Georgia have created a two-step computer simulation using the Wang-Landau algorithm to study how glycophorin A folds into its functional shape. The research reveals that the process is driven by a subtle interplay between multiple types of interactions, providing insights into membrane protein folding.
The algorithm introduces a new method for predicting RNA pseudoknots using heuristic modeling with mapping and sequential folding. It identifies information about flexibility and suggests that many biological RNA molecules are optimized by natural selection to fold correctly.
Researchers from Max Planck Institute in Potsdam have discovered an oscillating pattern in nanoparticle crystallization and self-organization. The study shows that these systems can form complex patterns, including concentric circles, through a combination of chemical reactions and diffusion.
Professor Sandra C. Greer was recognized for her dedication to encouraging women in chemistry, with over half of her Ph.D. students being female. She has supervised 14 Ph.D. dissertations and chaired the University of Maryland Department of Chemistry and Biochemistry.