Researchers developed a graph-based approach to directly extract concise and accurate constitutive equations from solid material experimental data. The method outperforms mainstream empirical models in predictive accuracy while preserving explicit, physically interpretable mathematical formulations.
Researchers Lukas Kunz and Riccardo Pennetta receive 1.5 million euros each for five-year projects on brain's first-person perspective and large-scale quantum physics. The grants will support Kunz's study on egocentric neurons and Pennetta's project on manipulating individual quantum systems.
Harvard researchers have developed a mechanics-based framework to control crumpling on inflatable membranes, enabling the creation of reconfigurable, bistable structures. By locally controlling crumples on the surface, the researchers can tune the stability of the whole structure, giving rise to complex shapes and forms.
Researchers propose that wave function phase is the source of randomness in quantum mechanics, potentially leading to new AI advancements. This idea contradicts current understanding and warrants experimental verification.
Seoul National University researchers use probabilistic fracture mechanics to assess pipe rupture frequency in nuclear power plants, accounting for degradation mechanisms and individual parameters. The study highlights the importance of inspections in reducing rupture frequency, and the results can help engineers identify key factors g...
Researchers used AI to solve a decades-old fluid mechanics problem in five weeks, but found that the AI made subtle errors along the way. The breakthrough could improve how scientists study nanoparticles, but highlights the need for careful validation of AI-generated work.
Prof. Haim Sompolinsky receives the 2026 Dirac Medal for pioneering contributions to equilibrium statistical mechanics and non-equilibrium statistical mechanics. His work helps establish the field of theoretical neuroscience, elucidating how collective activity supports memory, computation, and learning.
Researchers at Penn State have developed a new measure for entropy that is more closely tied to the black hole's physical properties of spin and energy. This allows them to extend the first and second laws of thermodynamics to dynamic black holes, enabling better understanding of their processes.
A new theoretical framework, Relativity of Spacetime Superpositions, shows that some scenarios describing quantum gravity are equivalent to classical physics with no quantum gravity signatures. The framework helps identify which experimental signatures require a quantum description of gravity.
Lipid molecular geometry controls membrane stretching elasticity, while three-dimensional DNA networks govern bending resistance. Researchers developed a framework to dissect the mechanics of artificial cells, revealing a clear division of labor at the molecular level.
Researchers found that smoking substantially stiffens human lung parenchyma, making breathing progressively difficult. The study provides detailed mechanical data for human lungs, which may improve ventilator design and surgical planning tools.
Researchers at MIT have discovered a mathematical connection between quantum mechanics and classical physics, enabling the description of quantum behavior using everyday classical ideas. The team's findings shed light on phenomena such as the double-slit experiment, which has long been challenging to explain using classical tools.
Researchers developed a machine learning-assisted design tool, μFluidicGenius, to automate microfluidic chip design. The tool enables nonexpert users to rapidly design microfluidic circuits with optimal flow conditions, using a hybrid approach combining machine learning models with mathematical fluid mechanics calculations.
Researchers propose a new design principle for QM/MM simulations, enabling the objective and automatic determination of the quantum-mechanical region based on electronic-state changes. This approach addresses long-standing challenges in multiscale molecular simulations, demonstrating consistent applicability across different systems.
A research team at the University of Vienna demonstrates that massive metallic nanoparticles follow quantum mechanics rules, creating a 'Schrödinger's cat state' and breaking existing records for macroscopic scale tests. The experiment shows that even large objects can exhibit wave-like behavior.
Dr. Marlan Scully traces the journey of quantum mechanics, from its quirky beginnings to its role in solving science's toughest challenges, including quantum computing, cryptography, and gravitational wave detection.
Direct-ink writing (DIW) technology faces unique physics puzzles, requiring a balance between liquid-like and solid-like behavior. The review aims to stimulate fundamental work on the central challenges of DIW, enabling more reliable and precise processes.
A new paper proposes a way to calculate the thermodynamic costs of metabolic processes, ranking them according to their biological efficiency. The method estimates the improbability of a network behaving in a certain way, considering maintenance and restriction costs.
SourceSissa Medialab·JournalJournal of Statistical Mechanics Theory and Experiment·TypeComputational simulation/modeling·DateJan 6, 2026
Dr. Bueno, a lead engineer at SwRI's Computational Mechanics Section, has been recognized for his work on supersonic and hypersonic aerodynamics, turbulence, and renewable energy. He developed patented heat storage systems and advanced optical diagnostic imaging tools to study high-speed flows.
Scientists have successfully demonstrated quantum squeezing of a nanoscale particle, achieving motion uncertainty smaller than quantum mechanical fluctuations. This achievement paves the way for basic research and applications like autonomous driving without GPS.
The study highlights connections between tumor mechanics and extracellular vesicles, which may not be as different as they seem. Researchers are now investigating the interplay between mechanics and messaging in cancer progression.
UC San Diego researchers Guru K. Jayasingh and Nigel Goldenfeld have predicted that a pipe's curvature can lead to a discontinuous turbulent transition beyond a critical flow velocity. This phenomenon is mathematically equivalent to the freezing of water, leveraging tricritical directed percolation theory.
Bacteria breathe deep underground without oxygen using nanowires to dispose of excess electrons. Yale scientists found that electrons move rapidly through the wires via a wave-like behavior rather than hopping, defying classical Newtonian laws. This discovery has significant implications for quantum sensing and computation.
A research team led by Prof. PAN Ding and Dr. LI Shuo-Hui has developed a novel direct sampling method based on deep generative models for statistical mechanics. This method enables efficient sampling of the Boltzmann distribution across a continuous temperature range, overcoming energy barriers in simulations.
Researchers at Heidelberg University have successfully triggered supersolid sound waves in a driven quantum system, exhibiting both liquid and solid characteristics. The system, which is far from equilibrium, shows two types of sound waves traveling at different speeds.
Researchers apply quantum mechanics to denoise medical images by separating localized signal from diffused noise. The method leverages physics-driven principles to automatically separate components of pixels in an image.
Scientists create a spatiotemporal light system that emulates the behavior of potential-free Schrödinger equations, generating localized wavepackets without potential energy constraints. This breakthrough could provide new insights into quantum physics and applications in studying light-matter interactions.
Researchers aim to understand the relationship between nightmares and anxiety-related mental health disorders like PTSD. They will use novel imaging techniques to map brain activity during sleep stages.
The essay competition aims to expand on Schrödinger's fascination with the connections between quantum theory and biological processes. Entrants will explore questions such as whether life evolved the ability to make use of the counterintuitive properties of the microscopic world, and how this might relate to consciousness.
NIST and partners use quantum mechanics to create a factory for truly random numbers, producing secure keys for cryptographic systems. The Colorado University Randomness Beacon (CURBy) broadcasts daily random numbers through a website.
The MIT Press will acquire University Science Books' prestigious list of textbooks in the sciences, including bestsellers like John Taylor's Classical Mechanics and Don McQuarrie's Physical Chemistry: A Molecular Approach. The acquisition is set to take place on July 1, 2025.
A new laboratory earthquake model connects the microscopic real contact area between fault surfaces to earthquake occurrences, offering insights into earthquake mechanics and potential prediction. Continuous monitoring of physical properties could provide new tools for short-term systems and reliable prediction.
Researchers have developed a new approach to regularize the theory of critical phenomena by generalizing statistical mechanics. The new method, based on non-additive entropy, provides finite values for quantities that diverge in traditional theories, offering insights into complex systems.
Researchers create framework to describe fundamental physics principles in both realms, providing key component for reconciling theories. The holographic principle is a crucial model to predict effects of quantum gravity, enabling theoretical physicists to make accurate predictions.
Rose petal shape is shaped by Mainardi-Codazzi-Peterson (MCP) incompatibility, a stress-focusing phenomenon that not only sculpts the form but also influences growth. This study offers new insights into nature and potential inspiration for bio-inspired materials.
A team led by Penn State researchers has developed a method to detect, measure and localize porosity defects inside 3D-printed metal parts using acoustic sensors built into the printing platform. This technique aims to improve efficiency, quality control and reliability of 3D-printed metal parts.
Researchers developed physisorption-assistant optoelectronic synaptic transistors based on Ta2NiSe5/SnS2 heterojunction, demonstrating tunable synaptic functionality in broadband (375-1310 nm). The strategy utilizes gas molecule adsorption to extend carrier lifetime and improve NIR light performance.
Computer simulations show that captured CO2 can be permanently stored underground by mixing with groundwater, creating a denser liquid that sinks and remains there. Suitable geological conditions, such as impermeable rock layers and porous aquifers, are necessary for effective CO2 storage.
Researchers have developed a new type of metamaterial that stores large amounts of energy through twisting rods, with enthalpy levels 2-160 times higher than other materials. The material has potential applications in various fields such as spring-based energy storage, shock absorption, and flexible structures.
A study by Philip Kurian and colleagues reveals a revised upper bound on carbon-based life's computational capacity, connecting it to the universe's information-processing limit. The discovery of quantum superradiance in cytoskeletal filaments enables eukaryotic organisms to process information through tryptophan networks.
A new study from York University combines fluid mechanics and chemistry to understand the Earth's early evolution. Researchers found that the lower mantle's structure was established four billion years ago, with most crystals forming at low pressure, leading to a different chemical signature than previously thought.
Researchers at EPFL have developed a novel acoustic system that can explore condensed matter and their macroscopic properties, circumventing the limitations of quantum phenomena. The system uses sound waves to model quantum probability waves, allowing for direct observation without perturbation.
Researchers discovered that gamma-actin increases the rigidity of cell membranes while beta-actin filaments are less stiff. This mechanism may contribute to hearing loss by affecting the apical membrane's stiffness essential for auditory function.
Research from the University of Chicago and University of Missouri reveals how modern birds' larger brains led to changes in their skulls, jaw muscles, and feeding mechanics. This evolution allowed for the development of cranial kinesis, enabling birds to move different parts of their skull independently.
Yue Yu, Lehigh University mathematics professor, wins award for pioneering work in data-driven nonlocal models and integrating mathematical analysis into computational model design. The recognition honors her outstanding contributions to the field of computational mechanics at a young age.
A new model of brain computational analysis, called CHARM, reveals that the human brain can surpass machines in critical decision-making. The CHARM model applies quantum mechanics to analyze long-distance brain connections, enabling precise modeling of the brain's dynamics.
Researchers developed single-shot super-resolved fringe projection profilometry (SSSR-FPP) using deep learning to achieve 100,000 frames-per-second 3D imaging. This breakthrough offers new insights into ultra-fast dynamic processes and could revolutionize fields like mechanics and biology.
Physicists at JILA and University of Colorado Boulder investigate the interplay between general relativity and quantum entanglement in optical atomic clocks. They discover that interactions between atoms can help to lock them together, leading to unexpected phenomena like atomic synchronization and quantum entanglement.
Researchers at UC San Diego create computational approach to model chiral helimagnets using quantum mechanics calculations. They successfully predicted key parameters, including helix wavevector, period, and critical magnetic field, opening opportunities for designing better materials.
A groundbreaking new framework unifies gravity from quantum relative entropy, bridging the gap between quantum mechanics and Einstein's general relativity. The theory predicts a small, positive cosmological constant aligning with experimental observations.
Researchers have developed a method to observe quantum interference in surface collisions of methane molecules, revealing clear patterns of wave-like behavior that amplify or cancel out different pathways. This discovery confirms the active role of quantum mechanics in controlling molecular interactions at surfaces.
Researchers develop a theoretical framework that reveals a conservation relationship among wave behaviour, particle behaviour, and entanglement. The team finds that the sum of these three elements remains constant, regardless of the choice of bipartite pure state, with experimental validation for various dimensions
A team of experts at NUS and UNSW Sydney successfully demonstrate that a spinning atomic nucleus exhibits quantum properties, contrary to long-held assumptions. The breakthrough showcases the potential for atomic nuclei as a quantum resource, providing new insights into the fundamental nature of spin precession.
For the first time, scientists have measured the quantum state of electrons ejected from atoms after absorbing high-energy light pulses. This technique provides a new way to study the interaction between light and matter, with potential applications in various fields of research.
Researchers developed a portable telescopic system with a 5cm diameter concentric-ring metalens, achieving high-resolution detection within a 20° field of view. The design features an image-side telecentric optical system and a front aperture stop to reduce edge ray aberration, resulting in a PSF with MTF > 0.4 @ 46lp/mrad.
New study reveals quantum mechanical processes facilitate energy transfer and charge separation in photosynthetic organisms. This understanding can inform the design of artificial photosynthesis units for unprecedented solar energy efficiency.
A team of researchers has solved a puzzle in fluid mechanics using an experiment featuring an ink-on-milk maze. The study reveals how the presence of surfactants in milk helps the ink/soap mixture navigate the maze by exploiting variations in surface tension.
A new research project funded by a $600,000 grant is exploring the mechanics behind episiotomies, with the goal of developing safer and more effective surgical practices. The study uses advanced experimental techniques and computational simulations to understand how incisions spread and potentially lead to tears.
A new theoretical approach, quantum-classical mechanics, reconciles the Franck-Condon principle and standard quantum mechanics. Electron chaos provokes dozy chaos in nuclei, leading to a new structural configuration consistent with electron charge distribution.
The Global Conference on Gerophysics aims to bridge statistical mechanics, complex systems theory, and dynamical modeling with biological mechanisms of aging. The conference will bring together leading scientists to promote healthy longevity and reshape our understanding of the aging process.