Articles tagged with Computational Physics
Researchers have found a new obstacle to effective accelerator beam pulses by forming 'electrostatic solitary waves' that reduce neutralization. Widening the filament injecting electrons into the beam can improve neutralization rates.
Computational statistical mechanics was born from numerical models of fluids developed in the 1950s, initially as a pet project by physicists. These Monte Carlo and Molecular Dynamics simulations were later confirmed through clever applications of importance sampling, proving reliable evidence for describing matter.
Researchers have made strides in medical imaging, computer modeling, and control strategies to optimize Deep Brain Stimulation (DBS) therapy in individual patients. The review highlights the interactive nature of factors influencing DBS effects and paves the way for truly patient-specific optimization.
Researchers observed four colliding galaxies and found a lag between dark matter and its associated galaxy, suggesting that dark matter interacts with forces other than gravity. This discovery could be the first evidence for rich physics in the dark sector, helping scientists better understand dark matter's nature.
A team of researchers has developed novel self-assembling materials, known as 'Soft Lego', which can form complex crystal structures with specific properties. These materials have potential applications in photonics and light guides, offering a new approach to the construction of materials at the macroscopic scale.
Researchers explore how membranes influence self-assembly and structure formation in cells, revealing that membranes promote self-assembly and reproduce structures similar to those found in nature.
Kai Germaschewski, a UNH assistant professor, received a $750,000 grant to develop more refined models of fusion plasmas. His work aims to enhance understanding of the state of plasma and its effects in high-temperature experiments.
Tetrahedral dice pack 76% of container space, surpassing sphere packing, and single molecules can calculate thousands of times faster than PCs.
Researchers at Washington University in St. Louis used a network of interconnected pendulums to demonstrate that introducing disorder can lead to order and synchronization in chaotic systems. The findings have potential applications in understanding neuronal activity and may help explain previously unexplained observations.
Two Williams students, Nathan Hodas and Gerke, have won the prestigious Apker Award in physics, showcasing their exceptional academic records and research potential. The college's emphasis on student-faculty research has been credited with producing high-caliber physics majors.
The Center for Theoretical Biological Physics at UCSD combines theoreticians and experimentalists to advance research in understanding complex biological systems. The interdisciplinary approach will provide insights into fundamental laws governing biological systems, enabling predictions and breakthroughs in biology and physics.
The American Physical Society's largest physics meeting will feature over 5000 speakers presenting on topics including nanotechnology, MEMS innovations, cancer detection, and cardiac disorders. Researchers will also discuss pseudoscience and superstition in science.
The Max Planck Institute for Gravitational Physics has released the public beta of the Cactus Computational Toolkit 4.0, a collaborative environment for solving partial differential equations in physics and engineering. The toolkit allows individual scientists to plug their own computing applications into a modular framework, enabling ...
The article explains that 'hard' NP-complete problems are difficult due to discontinuous phase transitions, making them impractical to solve even with moderate-sized inputs. The research suggests exploiting certain properties of these abrupt transitions to make the problems easier by nailing down critical variables.
The Columbia supercomputer, QCDSP, can perform 400 billion calculations per second to simulate the three-trillion-degree conditions at the Big Bang. This will help physicists understand particle properties and calculate accurate masses and decay rates.
Toichiro Kinoshita's numerical integration method achieves the most accurate estimates of the fine structure constant to date. The result has a high statistical confidence, standing out from other values vying for acceptance as the next standard.