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#physics

156 posts119 participants18 posts today
Public
MediaFaro News Digest

Particle accelerator: CERN presents a feasibility study for a LHC successor.

The Large Hadron Collider (LHC) is currently the largest and most powerful particle accelerator in the world. Groundbreaking discoveries have been made there, such as the detection of the Higgs boson in 2012.

The European Organization for Nuclear Research (CERN) is planning a successor with a circumference of over 90 kilometres.

mediafaro.org/article/20250401

Artist's impression of the FCC proton-proton collider. | Image: PIXELRISE
Heise Online · Particle accelerator: CERN presents a feasibility study for a LHC successor.By Werner Pluta
#LHC#Physics#ParticlePhysics
Public
The Kid Should See This 🌈🪐✨

💁🏻‍♀️ ICYMI: How Does a Jack in the Box Work? ⚙️🤖

Maddie Moate dismantles this classic surprise toy to reveal the clever #engineering inside—a simple spring mechanism that stores potential #energy until the perfect musical moment.

Plus: Learn how to create your own custom Jack in the Box featuring any character you can imagine—#dinosaurs, #robots, monsters, or anything else!

👉 Learn more: thekidshouldseethis.com/post/h

A woman with long blonde hair and a blue top excitedly holds a colorful Jack-in-the-box toy with a clown figure popping out, with the word "POP" displayed in large text to the right.
#art#diy#music
Public
Yoso

The Sapient Cosmos: What a modern-day synthesis of science and philosophy teaches us about the emergence of information, consciousness, and meaning

Paperback – April 1, 2025
by James B. Glattfelder

amzn.to/4iOpsoj

amzn.toThe Sapient Cosmos: What a modern-day synthesis of science and philosophy teaches us about the emergence of information, consciousness, and meaning: Glattfelder, James B.: 9781803414041: Amazon.com: BooksThe Sapient Cosmos: What a modern-day synthesis of science and philosophy teaches us about the emergence of information, consciousness, and meaning [Glattfelder, James B.] on Amazon.com. *FREE* shipping on qualifying offers. The Sapient Cosmos: What a modern-day synthesis of science and philosophy teaches us about the emergence of information, consciousness, and meaning
#consciousness#physics#philosophy
Public
Rxiv mechanobio

📰 "The Granule-In-Cell Method for Simulating Sand--Water Mixtures"
arxiv.org/abs/2504.00745 #Physics.Flu-Dyn #Forces #Cs.Gr #Cell

arXiv logo
arXiv.orgThe Granule-In-Cell Method for Simulating Sand--Water MixturesThe simulation of sand--water mixtures requires capturing the stochastic behavior of individual sand particles within a uniform, continuous fluid medium, such as the characteristic of migration, deposition, and plugging across various scenarios. In this paper, we introduce a Granule-in-Cell (GIC) method for simulating such sand--water interaction. We leverage the Discrete Element Method (DEM) to capture the fine-scale details of individual granules and the Particle-in-Cell (PIC) method for its continuous spatial representation and particle-based structure for density projection. To combine these two frameworks, we treat granules as macroscopic transport flow rather than solid boundaries for the fluid. This bidirectional coupling allows our model to accommodate a range of interphase forces with different discretization schemes, resulting in a more realistic simulation with fully respect to the mass conservation equation. Experimental results demonstrate the effectiveness of our method in simulating complex sand--water interactions, while maintaining volume consistency. Notably, in the dam-breaking experiment, our simulation uniquely captures the distinct physical properties of sand under varying infiltration degree within a single scenario. Our work advances the state of the art in granule--fluid simulation, offering a unified framework that bridges mesoscopic and macroscopic dynamics.
Public
Rxiv mechanobio

📰 "The Quantum Memory Matrix: A Unified Framework for the Black Hole Information Paradox"
arxiv.org/abs/2504.00039 #Physics.Gen-Ph #Mechanics #Matrix

arXiv logo
arXiv.orgThe Quantum Memory Matrix: A Unified Framework for the Black Hole Information ParadoxWe present the Quantum Memory Matrix (QMM) hypothesis, which addresses the longstanding Black Hole Information Paradox rooted in the apparent conflict between Quantum Mechanics (QM) and General Relativity (GR). This paradox raises the question of how information is preserved during black hole formation and evaporation, given that Hawking radiation appears to result in information loss, challenging unitarity in quantum mechanics. The QMM hypothesis proposes that space-time itself acts as a dynamic quantum information reservoir, with quantum imprints encoding information about quantum states and interactions directly into the fabric of space-time at the Planck scale. By defining a quantized model of space-time and mechanisms for information encoding and retrieval, QMM aims to conserve information in a manner consistent with unitarity during black hole processes. We develop a mathematical framework that includes space-time quantization, definitions of quantum imprints, and interactions that modify quantum state evolution within this structure. Explicit expressions for the interaction Hamiltonians are provided, demonstrating unitarity preservation in the combined system of quantum fields and the QMM. This hypothesis is compared with existing theories, including the holographic principle, black hole complementarity, and loop quantum gravity, noting its distinctions and examining its limitations. Finally, we discuss observable implications of QMM, suggesting pathways for experimental evaluation, such as potential deviations from thermality in Hawking radiation and their effects on gravitational wave signals. The QMM hypothesis aims to provide a pathway towards resolving the Black Hole Information Paradox while contributing to broader discussions in quantum gravity and cosmology.
Public
Rxiv mechanobio

📰 "Influence of erythrocyte density on aggregability as a marker of cell age: Dissociation dynamics in extensional flow"
arxiv.org/abs/2409.08877 #Physics.Bio-Ph #Mechanical #Dynamics #Cell

arXiv logo
arXiv.orgInfluence of erythrocyte density on aggregability as a marker of cell age: Dissociation dynamics in extensional flowBlood rheology and microcirculation are strongly influenced by red blood cell (RBC) aggregation. The aggregability of RBCs can vary significantly due to factors such as their mechanical and membrane surface properties, which are affected by cell aging in vivo. In this study, we investigate RBC aggregability as a function of their density, a marker of cell age and mechanical properties, by separating RBCs from healthy donors into different density fractions using Percoll density gradient centrifugation. We examine the dissociation rates of aggregates in a controlled medium supplemented with Dextran, employing an extensional flow technique based on hyperbolic microfluidic constrictions and image analysis, assisted by a convolutional neural network (CNN). In contrast to other techniques, our microfluidic experimental approach highlights the behavior of RBC aggregates in dynamic flow conditions relevant to microcirculation. Our results demonstrate that aggregate dissociation is strongly correlated with cell density and that aggregates formed from the denser fractions of RBCs are significantly more robust than those from the average cell population. This study provides insight into the effect of RBC aging in vivo on their mechanical properties and aggregability, underscoring the importance of further exploration of RBC aggregation in the context of cellular senescence and its potential implications for hemodynamics. Additionally, it suggests that this technique can complement existing methods for improved evaluation of RBC aggregability in health and disease.
Public
Rxiv mechanobio

📰 "From Chaos to Coherence: Effects of High-Order Synaptic Correlations on Neural Dynamics"
arxiv.org/abs/2504.00300 #Cond-Mat.Dis-Nn #Physics.Bio-Ph #Dynamics #Q-Bio.Nc #Matrix

arXiv logo
arXiv.orgFrom Chaos to Coherence: Effects of High-Order Synaptic Correlations on Neural DynamicsRecurrent Neural Network models have elucidated the interplay between structure and dynamics in biological neural networks, particularly the emergence of irregular and rhythmic activities in cortex. However, most studies have focused on networks with random or simple connectivity structures. Experimental observations find that high-order cortical connectivity patterns affect the temporal patterns of network activity, but a theory that relates such complex structure to network dynamics has yet to be developed. Here, we show that third- and higher-order cyclic correlations in synaptic connectivities greatly impact neuronal dynamics. Specifically, strong cyclic correlations in a network suppress chaotic dynamics, and promote oscillatory or fixed activity. The change in dynamics is related to the form of the unstable eigenvalues of the random connectivity matrix. A phase transition from chaotic to fixed or oscillatory activity coincides with the development of a cusp at the leading edge of the eigenvalue support. We also relate the dimensions of activity to the network structure.
Public
Rxiv mechanobio

📰 "Active Hydrodynamic Theory of Euchromatin and Heterochromatin"
arxiv.org/abs/2503.20964 #Physics.Bio-Ph #Cond-Mat.Soft #Q-Bio.Sc #Dynamics #Cell

arXiv logo
arXiv.orgActive Hydrodynamic Theory of Euchromatin and HeterochromatinThe genome contains genetic information essential for cell's life. The genome's spatial organization inside the cell nucleus is critical for its proper function including gene regulation. The two major genomic compartments -- euchromatin and heterochromatin -- contain largely transcriptionally active and silenced genes, respectively, and exhibit distinct dynamics. In this work, we present a hydrodynamic framework that describes the large-scale behavior of euchromatin and heterochromatin, and accounts for the interplay of mechanical forces, active processes, and nuclear confinement. Our model shows contractile stresses from cross-linking proteins lead to the formation of heterochromatin droplets via mechanically driven phase separation. These droplets grow, coalesce, and in nuclear confinement, wet the boundary. Active processes, such as gene transcription in euchromatin, introduce non-equilibrium fluctuations that drive long-range, coherent motions of chromatin as well as the nucleoplasm, and thus alter the genome's spatial organization. These fluctuations also indirectly deform heterochromatin droplets, by continuously changing their shape. Taken together, our findings reveal how active forces, mechanical stresses and hydrodynamic flows contribute to the genome's organization at large scales and provide a physical framework for understanding chromatin organization and dynamics in live cells.
Public
Rxiv mechanobio

📰 "A Deep Learning Framework for the Electronic Structure of Water: Towards a Universal Model"
arxiv.org/abs/2503.24050 #Physics.Atm-Clus #Physics.Comp-Ph #Physics.Chem-Ph #Matrix #Forces

arXiv logo
arXiv.orgA Deep Learning Framework for the Electronic Structure of Water: Towards a Universal ModelAccurately modeling the electronic structure of water across scales, from individual molecules to bulk liquid, remains a grand challenge. Traditional computational methods face a critical trade-off between computational cost and efficiency.We present an enhanced machine-learning Deep Kohn-Sham (DeePKS) method for improved electronic structure, DeePKS-ES, that overcomes this dilemma. By incorporating the Hamiltonian matrix and their eigenvalues and eigenvectors into the loss function, we establish a universal model for water systems, which can reproduce high-level hybrid functional (HSE06) electronic properties from inexpensive generalized gradient approximation (PBE) calculations. Validated across molecular clusters and liquid-phase simulations, our approach reliably predicts key electronic structure properties such as band gaps and density of states, as well as total energy and atomic forces. This work bridges quantum-mechanical precision with scalable computation, offering transformative opportunities for modeling aqueous systems in catalysis, climate science, and energy storage.
Public
Rxiv mechanobio

📰 "Scalable Superconducting Nanowire Memory Array with Row-Column Addressing"
arxiv.org/abs/2503.22897 #Physics.App-Ph #Dynamics #Cell

arXiv logo
arXiv.orgScalable Superconducting Nanowire Memory Array with Row-Column AddressingDeveloping ultra-low-energy superconducting computing and fault-tolerant quantum computing will require scalable superconducting memory. While conventional superconducting logic-based memory cells have facilitated early demonstrations, their large footprint poses a significant barrier to scaling. Nanowire-based superconducting memory cells offer a compact alternative, but high error rates have hindered their integration into large arrays. In this work, we present a superconducting nanowire memory array designed for scalable row-column operation, achieving a functional density of 2.6$\,$Mb/cm$^{2}$. The array operates at $1.3\,$K, where we implement and characterize multi-flux quanta state storage and destructive readout. By optimizing write and read pulse sequences, we minimize bit errors while maximizing operational margins in a $4\times 4$ array. Circuit-level simulations further elucidate the memory cell's dynamics, providing insight into performance limits and stability under varying pulse amplitudes. We experimentally demonstrate stable memory operation with a minimum bit error rate of $10^{-5}$. These results suggest a promising path for scaling superconducting nanowire memories to high-density architectures, offering a foundation for energy-efficient memory in superconducting electronics.
Public
Xamanismo Coletivo

Hans Busstra interviews theoretical physicist and #complexity scientist #JamesGlattfelder on his new book: “The #SapientCosmos: What a modern-day synthesis of science and philosophy teaches us about the emergence of information, consciousness, and meaning”, published by #EssentiaFoundation.

Can a #newscience bridge the gap between the noumena and the phenomena, the 1st person and the 3rd person perspective? A bit more provocatively: what is the relationship between #physics, #psychedelic experiences and #shamanism? #Glattfelder makes a plea for syncretic idealism: a worldview that synthesises ancient idealist texts and mystical experiences with physics, complexity science and analytic idealism.

#SyncreticIdealism could lead to a #ScientificSpirituality, a form of #empiricalmysticism that acknowledges a purposeful universe, wanting to know itself through ever increasing complexity."

m.youtube.com/watch?v=RgpABHt2

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