Articles tagged with Computational Physics
Physicists have developed a new method to identify and address imperfections in materials for quantum computing. The technique, terahertz scanning near-field optical microscopy, has been used to optimize fabrication protocols and reduce decoherence.
Researchers at Washington University found that neurons in the primary visual cortex exhibit 'drift' over time, changing their responses to the same stimulus even without learning or experience. This discovery challenges the notion of stable neural activity in sensory cortices.
Researchers at North Carolina State University developed a new method to calculate thermodynamic properties using partition function zeros on quantum computers. By calculating the zeros of the partition function, they can determine free energy, entropy, and other properties without necessitating huge numbers of quantum computations.
Researchers have modelled how drugs are delivered to the respiratory tract via an inhaler to better treat lung diseases. Finer drug particles of around one micron are better able to travel further into the lungs.
SUTD researchers created a novel modeling technique to reduce risk of permanent device damage in resistive memory devices. The new toolkit can predict current accurately, improving prediction accuracy by around ten times.
A team from the University of Bristol's QETLabs developed an algorithm that uses machine learning to reverse engineer Hamiltonian models and formulate approximate models for quantum systems. This breakthrough enables the automated characterization of new devices, such as quantum sensors.
Active matter systems, which can move under their own power, have been found to spontaneously order without higher-level instructions. Researchers developed a theory that predicts certain types of active matter will enter
The Argonne team has created a machine learning algorithm that approximates how the present detector would respond to the greatly increased data expected with the LHC upgrade. This algorithm simulates detector responses and reconstructs objects from physical processes, enabling faster and more accurate analysis of particle collisions.
Scientists have revealed that gallium melt lacks stable crystalline domains and molecule-like Ga2 dimers, offering a fresh perspective on melt formation processes. Experimental data from neutron diffraction provided critical evidence to support this finding.
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.