Articles tagged with Computational Physics
A multidisciplinary project combines computer modeling, particle science, and pharmaceutical science to create more effective inhalers for people who can't inhale deeply. Researchers found that improved designs can reduce deposition in the mouth and throat, increase penetration of particles into the lungs.
A study led by IBEC researchers reveals that cells reorganize their internal scaffolding in response to sustained stretching, forming supracellular networks and 'uncaging' their nuclei. This process is facilitated by interactions between keratin and actin filaments.
USC researchers have been selected for the U.S. Department of Energy's Genesis Mission to harness artificial intelligence for scientific discovery and innovation. Two projects led by USC will explore ways to develop faster and more energy-efficient computing hardware and better understand the natural concentration of critical minerals.
A new form of physical computing has been demonstrated using a few hundred microscopic particles oscillating in a liquid. The system harnesses collective dynamics to perform computations, reducing the need for precise control and increasing efficiency.
USC is leading a national research team developing AI to predict turbulence, a challenge in physics and engineering that affects technologies daily. The approach could make scientific simulations faster and more accurate, enabling researchers to tackle complex problems.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
A new computational approach extends the Particle-in-Cell method with condensed-matter physics, enabling researchers to simulate a broader range of light–matter interactions in metals, semiconductors, and emerging quantum materials. This allows for more realistic predictions and optimizations in next-generation semiconductor and photon...
Theoretical physicists develop new method to order Feynman integrals based on their geometric structure, reducing computation time by a factor of 1,000. This allows for precision predictions in high-energy physics measurements, such as those made at the Large Hadron Collider.
Researchers unveiled a technique to build ultra-clean 2D heterostructures using muscovite crystals, eliminating microscopic residues that disrupt electronic device performance. This method enables precise stacking of atomic layers, leading to new properties and potential breakthroughs in quantum computing and nanoelectronics.
Researchers at Aalto University have demonstrated the first cyclic quantum heat engine inside a superconducting circuit, enabling technologies needed for high-qubit quantum computers. The study provides a solid proof of concept for superconducting heat engines and could reduce the cost and complexity of large-scale quantum computing.
MARVEL has transformed materials research by combining simulations, machine learning, and experiments to predict and design novel materials. Its open-source codes and computational infrastructures have strengthened the field, enabling reproducible and collaborative discoveries.
A team of scientists observed Jahn–Teller polarons in cobalt oxide crystals activated by tailored laser pulses. The study reveals the material's structural, electrical, and magnetic properties can be engineered using ultrafast laser pulses.
Researchers Anna Galler and Bettina Könighofer at Graz University of Technology will use FWF's Astra awards to identify quantum materials for future electronics and develop trustworthy AI systems. Their projects focus on protecting AI systems from risky actions and exploring new materials with unique electronic properties.
Allen Liu's dissertation resolves major questions in understanding quantum phenomena and simulating physics through learning theory perspectives. Groundbreaking algorithms prove a new physical law, with far-reaching implications still being unraveled by the quantum computing community.
Researchers at VCU have developed a technique to control the spins of electrons in diamond qubits using tiny nanomagnets. This approach could enable scalable quantum computing and lead to significant energy savings.
Researchers at Nagoya Institute of Technology have developed new guidelines for mixing dense suspensions, reducing impeller speed and energy requirements. The study's findings suggest that placing the impeller near the solid-liquid interface improves energy efficiency in baffled conditions.
Researchers at the Flatiron Institute and Boston University have developed a new technique using tensor networks to simulate complex quantum systems, demonstrating that classical computers can tackle previously thought-to-be-solvable-only-by-quantum-computers problems. This breakthrough opens new avenues for research on quantum dynamics.
Researchers developed a machine learning approach to analyze Fermi surface images, identifying compositions with significant changes and nodal lines. The method accurately detects outliers, enabling efficient screening of large datasets for desirable electronic properties.
The University of Manchester has been recognized for its significant contribution to computer science with the third IEEE Milestone Award, honoring the invention of Manchester Code in 1948-1949. The code's self-clocking design enables reliable transmission and remains a key feature in modern digital systems.
St. Olaf researchers create mechanical computers that can perform simple computations without a computer chip or power source, harnessing their power from physical force. The devices demonstrate proof of design for alternative computing in harsh settings, paving the way for smart materials and responsive artificial limbs.
A new machine-learning method detects sudden changes in fluid behavior, improving simulation capabilities for everyday applications like weather prediction and nuclear reactor safety. This enables faster design testing, real-time adjustments, and reduced computational burden.
Researchers discover quasi-one-dimensional superionic state of carbon hydride under extreme pressures and temperatures found deep inside ice giant planets. This finding has implications for heat and electricity movement through planetary interiors and could influence magnetic-field generation.
The breakthrough enables complex states of light to be used in quantum computing, reducing imperfections and increasing scalability. This achievement paves the way for innovations in medicine, materials science, data management, and security.
The Global Physics Summit will feature over 12,000 individual presentations on new research in astrophysics, particle physics, and quantum information science. Registered journalists and public information officers will receive daily emails with information during the meeting.
Physicists have developed a more accurate method for estimating the impact of calculations that are not performed in high-energy particle collisions. The new approach uses perturbative calculations to reduce uncertainties present in previous simulations.
Physicists Guido Burkard and Joris Kattemölle from the University of Konstanz have developed a method to simplify quantum simulations by harnessing symmetry, streamlining the calculation process for complex systems. By using recurring patterns in the quantum systems, they significantly reduce the required computational effort.
Researchers at the University of Vienna developed a novel protocol that samples only a subset of generated quantum states, enabling efficient real-time verification. The new method uses optical switches to randomly capture states, allowing for non-destructive certification and paving the way for robust quantum computing and networks.
The American Physical Society's Global Physics Summit will feature over 10,000 individual presentations on new research in astrophysics and particle physics. Attendees can book discounted hotel rates near the Colorado Convention Center until February 12 to receive a discount.
A new project aims to develop robust logical quantum bits for scalable and fault-tolerant quantum computing. The snaQCs2025 project combines innovative simulation and integration methods to compensate for error susceptibility of physical qubits, bringing quantum computing closer to practical use.
The American Physical Society's Global Physics Summit will convene over 14,000 physicists worldwide for groundbreaking research presentations. The event will feature both in-person and online experiences, including scientific sessions, exhibits, and networking events.
Researchers have discovered a linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum molten salt reactors. This finding has significant implications for criticality calculations, fuel loading prediction, and reactivity measurement.
Theoretical physicists at MIT propose that under certain conditions, magnetic material’s electrons could form quasiparticles called “anyons” that can flow together without friction. If confirmed, it would introduce a new form of superconductivity persisting in the presence of magnetism.
Researchers at University of Jyväskylä discovered fundamental design principles for greater stability in metallene interfaces. They found that smooth, well-aligned geometries provide strong resistance to defects and mechanical strain.
Researchers developed a comprehensive model of luminous black hole accretion, including radiation flows and interactions with surrounding gas. Their simulations reproduce consistent behaviors across various black hole systems, providing insight into extreme nonlinear processes.
The German Research Foundation has awarded a €10 million grant to the Collaborative Research Centre 211 'Strong-Interaction Matter under Extreme Conditions' for its third phase, extending funding for another 3.5 years.
Researchers at Waseda University have demonstrated a transformative approach for realizing skyrmion logic based on fluidic principles, utilizing the flow behavior of many skyrmions to simplify device operations. This breakthrough enables the development of nanofluidic logic gates with reduced complexity and improved stability.
The 'Otus' supercomputer provides a solution to pressing challenges through its massive parallel computing capacity, allowing researchers to simulate complex processes, identify patterns, and make predictions about future developments. The system also promotes sustainability with indirect free cooling and renewable energy sources.
TorchSim, a PyTorch-based simulation engine, delivers acceleration for MLIPs by unifying molecular dynamics and gradient-based learning. The platform provides speed, flexibility, and ease of integration with emerging machine learning atomistic models.
Stefano Baroni, a renowned physicist, has been awarded the 2026 Aneesur Rahman Prize for his pioneering work in first-principles methods and open-source software development. His research has significantly advanced our understanding of material properties and paved the way for cutting-edge technologies.
Engineers at the University of Delaware have developed a novel method to detect and control magnetic waves using electric signals, enabling computers to run faster and with greater energy efficiency. This breakthrough could lead to computer chips that integrate magnetic and electric components directly.
A new study from UBC Okanagan has mathematically proven that the fundamental nature of reality operates in a way that no computer could simulate. The researchers demonstrate that a complete and consistent description of everything requires non-algorithmic understanding, which is beyond algorithmic computation.
Researchers at TU Wien have developed a new computational method that accurately calculates van der Waals forces between large molecules, resolving decades-long discrepancies. The improved method corrects errors in existing approaches and enables reliable predictions for biological systems and renewable energy technologies.
The study reveals that certain rectangular shapes allow chloroplasts to achieve both efficient light capture at high density and enough space for shifting during strong light avoidance. The natural geometry of Elodea cells matches the predicted optimal shapes well, with a balance between packing and flexibility.
A new mathematical framework, STIV, can predict larger-scale effects like proteins unfolding and crystals forming without costly simulations or experiments. The framework solves a 40-year-old problem in phase-field modeling, allowing for the design of smarter medicines and materials.
A new project aims to develop a computationally efficient model that accurately predicts how additive manufacturing process parameters influence the solidification microstructure of binary alloy solidification. This will enable optimization of additively manufactured parts with confidence in critical industries.
Researchers at University of Tsukuba predicted the intensity of 21-cm radio signal in different dark matter models using numerical simulations. The results imply hydrogen gas produced a characteristic signal that could reveal dark matter mass and velocity if detected globally.
Researchers used 3D modeling, field experiments to confirm how Rapa Nui people moved iconic moai statues. The team found that the statues were likely walked in a zig-zag motion along carefully designed roads using rope, with a physics-backed explanation.
The new emulator Effort.jl allows researchers to analyze complex data sets faster and more efficiently than ever before. It uses state-of-the-art numerical methods and clever preprocessing strategies to achieve exceptional computational performance, making it possible to explore cosmic scenarios without waiting hours for each simulation.
Researchers from the Institute of Industrial Science, The University of Tokyo, have developed a mathematical theory that can be used to design optimization strategies for dynamical networks, such as those comprising living organisms. They found that tools from information theory provided a way to simplify nonlinear optimization problem...
Researchers created the largest qubit array with 6,100 neutral-atom qubits trapped in a grid by lasers, demonstrating improved accuracy and scalability. The team successfully maintained superposition for over 13 seconds and manipulated individual qubits with high accuracy.
University of Michigan researchers have made significant progress in developing a more accurate simulation approach for density functional theory, a widely used method in fundamental chemistry and materials science studies. The new approach has improved the calculation of exchange-correlation functionals, which describe how electrons i...
The SAGEST Predictive Simulation Center will develop simulation tools to give scientists confidence in exploring extreme physical conditions. The center, led by UVA's Xinfeng Gao, will use high-fidelity and low-fidelity solvers to balance accuracy and efficiency in predictions.
Researchers will generate maps showing the intensity and extent of an earthquake, helping to identify regions with a higher probability of infrastructure damage. The simulation will recreate a hypothetical scenario of an 8.1 magnitude earthquake in Mexico's Michoacán state.
A sophisticated neutron flux diagnostic system will gather knowledge of plasma and power released in nuclear reactions at ITER. The High Resolution Neutron Spectrometer (HRNS) measures both neutron number and energies, providing information on fuel composition, ion temperature, and combustion quality.
Researchers from TUM and Google Quantum AI realize Floquet topologically ordered state, a phase predicted but never observed, using 58 superconducting qubit quantum processor. They probe the system's underlying topological properties and witness dynamical 'transmutation' of exotic particles.
A newly detected black hole merger has provided the clearest evidence yet of how black holes work, confirming fundamental predictions by Albert Einstein and Stephen Hawking. The observations reveal insights into the properties of black holes and the nature of space-time, hinting at how quantum physics and general relativity fit together.
Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach improves image quality and video smoothness in various scenarios, including surveillance and medical diagnostics.
A new hybrid software approach, sys-sage, facilitates collaboration between quantum and high-performance computing systems. The system can optimize task allocation and mapping to the best resources in each topology.
The study reveals that when physical constraints are removed, human mobility follows a power-law pattern, decreasing steadily with distance. The researchers found this pattern across five orders of magnitude, from 10 meters to hundreds of kilometers.
Researchers at the University of California, Riverside, have made a breakthrough in building larger and more reliable quantum computers by linking multiple quantum chips. The team found that even imperfect links between quantum chips can produce a functioning fault-tolerant quantum system.