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AI & Data Science Preprint PDF DOI

MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

Kehong Gong, Zhengyu Wen, Dao Thien Phong, Mingxi Xu, Weixia He, Qi Wang, Ning Zhang, Zhengyu Li, Guanli Hou, Dongze Lian, Xiaoyu He, Mingyuan Zhang, Hanwang Zhang ยท 2026

Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK)โ€ฆ

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Physics Preprint PDF DOI

Yukawa screening derivation of the bond-valence rule

Michael L. Whittaker, Pan Wang, Chunhui Li, Naman Katyal, Piotr Zarzycki ยท 2026

The bond-valence model is a standard way to estimate bond strengths in crystals, but its exponential dependence on bond length has lacked a derivation from a specific physical interaction. We show thaโ€ฆ

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Physics Preprint PDF DOI

Fragment-Constrained Charge Equilibration for Charge-Aware Machine Learning Potentials at Electrochemical Interfaces

Akhil Reddy Peeketi, Blas P Uberuaga, Travis E Jones ยท 2026

Predictive simulation of electrochemical interfaces requires atomistic models that capture reactive bond rearrangements, long-range electrostatics, and charge distributions reflecting the electronic dโ€ฆ

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Physics Preprint PDF DOI

Asymmetric freezing of a sliding droplet on an inclined surface

Sivanandan Kavuri, George Karapetsas, Chander Shekhar Sharma, Kirti Chandra Sahu ยท 2026

We investigate the asymmetric freezing of a liquid droplet sliding on an inclined cold surface using numerical simulations based on the lubrication approximation. The combined effects of gravity, capiโ€ฆ

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Physics Preprint PDF DOI

Ultrafast Sliding Ferroelectric Switching in Bilayer Hexagonal Boron Nitride Revealed by Deep Learning Molecular Dynamics

Yinan Wang, Poyen Chen, Teruyasu Mizoguchi ยท 2026

Sliding ferroelectricity in bilayer hexagonal boron nitride (h-BN) offers compelling prospects for next-generation non-volatile memory, yet the atomistic dynamics of electric-field-driven polarizationโ€ฆ

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Physics Preprint PDF DOI

Fixed-PVM Born Rule Uniqueness from Fisher Non-Expansion and Operational Calibration

Aaron Lax ยท 2026

Fix a finite dimension $d \geq 2$ and a fixed rank-1 PVM $M=\{|e_1\rangle\langle e_1|,\ldots,|e_d\rangle\langle e_d|\}$ on ${\bf C}^d$. Let $P_M:\mathbb{CP}^{d-1}\to\Delta^{d-1}$ be a readout map on pโ€ฆ

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Chemistry Preprint PDF DOI

The Great Chicken-and-Egg of Chemistry: Bonding vs. Stability Revisited

Cherif F. Matta ยท 2026

The chemical bond is a central organizing concept in chemistry, yet it is absent from the molecular Hamiltonian and no "bond operator" exists. Bonding is therefore not a primitive physical entity but โ€ฆ

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Physics Preprint PDF DOI

Derivation of the Born Rule and Operational Quantum Formalism in the Accessibility Framework through Boundary Reduction

Everett Fall, Hironori Kondo ยท 2026

We show that the operational quantum formalism -- the Born rule, L\"uders state updating, quantum interference, non-Markovian effective dynamics, and Bell inequality violation at the Tsirelson bound \โ€ฆ

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Chemistry Preprint PDF DOI

Experimentally Accurate Graph Neural Network Predictions of Core-Electron Binding Energies

Adam E. A. Fouda, Joshua Zhou, Rodrigo Ferreira, Patrick Phillips, Valay Agarawal, Bhavnesh Jangid, Jacob J. Wardzala, Rui Ding, Junhong Chen, Nicole Tebaldi, Phay J. Ho, Laura Gagliardi, Linda Young ยท 2026

Graph neural network architectures are advantageous for predicting core-electron binding energies which depend on local bond environment effects, as the number of message passing layers defines the toโ€ฆ

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Physics Preprint PDF DOI

Holographic realization of higher-spin Carrollian free fields

Ethan D'Arcy, Arnaud Delfante, Stefan Fredenhagen ยท 2026

We provide a holographic bulk realization of Carrollian free-field structures arising in three-dimensional asymptotically flat (higher-spin) gravity. We construct a class of boundary conditions that gโ€ฆ

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AI & Data Science Preprint PDF DOI

Virtual-reality based patient-specific simulation of spine surgical procedures: A fast, highly automated and high-fidelity system for surgical education and planning

Raj Kumar Ranabhat, Tayler D Ross, Tony Jiao, Jeremie Larouche, Joel Finkelstein, Michael Hardisty ยท 2026

Surgical training involves didactic teaching, mentor-led learning, surgical skills laboratories, and direct exposure to surgery; however, increasing clinical pressures have limited operating room (OR)โ€ฆ

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Physics Preprint PDF DOI

Hybrid hadrons at rest and on the light front

Edward Shuryak, Ismail Zahed ยท 2026

We present a unified description of heavy hybrid hadrons based on a constituent-gluon picture embedded in the Born-Oppenheimer (BO) framework. In this approach, the gluonic excitation is treated as a โ€ฆ

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Physics Preprint PDF DOI

The temperature dependent geometric phase

Zheng-Chuan Wang ยท 2026

There exists a geometric phase for a quantum state during the adiabatic evolution of the system. If the adiabatic procedure happens between the system and the environment interacting with it similar tโ€ฆ

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Chemistry Preprint PDF DOI

Effect of reaction temperature on nascent carbonaceous particles from toluene shock-tube pyrolysis: Insights from FTIR and Raman spectroscopy

Meysam K. Rezaeian, Can Shao, Jurgen Herzler, Mustapha Fikri, Greg J. Smallwood, Christof Schulz ยท 2026

The transition from gaseous precursors to nascent solid particles and their subsequent structural maturation were investigated in single-pulse shock-tube experiments using ex situ Fourier-transform inโ€ฆ

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AI & Data Science Preprint PDF DOI

Binary Spiking Neural Networks as Causal Models

Aditya Kar (CNRS, IRIT), Emiliano Lorini (CNRS, IRIT), Timothee Masquelier (CNRS, CERCO UMR5549) ยท 2026

We provide a causal analysis of Binary Spiking Neural Networks (BSNNs) to explain their behavior. We formally define a BSNN and represent its spiking activity as a binary causal model. Thanks to this โ€ฆ

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Physics Preprint PDF DOI

Studying spherical collapse and its implications in the Eddington-inspired Born-Infeld gravity theory

A. M Velasquez-Toribio ยท 2026

We investigate spherical collapse in Eddington-inspired Born--Infeld (EiBI) gravity in the subhorizon, pressureless, and quasi-static regime, emphasizing the matter-gradient correction that appears inโ€ฆ

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Physics Preprint PDF DOI

Effects of nucleon-nucleon short-range correlation and symmetry energy on the evolution of newly born magnetars

C. X. Liu, T. F. Feng, J. M. Dong ยท 2026

Millisecond magnetars are widely suggested as the central engines powering hydrogen-poor superluminous supernovae (SLSNe). These magnetars primarily lose huge rotational energy through gravitational wโ€ฆ

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Physics Preprint PDF DOI

Amplitude Encoding of Slater-Type Orbitals via Matrix Product States: Efficient State Preparation and Integral Evaluation on Quantum Hardware

Sorin Bolos ยท 2026

Slater-type orbitals (STOs) provide the physically correct description of atomic wavefunctions but have been largely replaced by Gaussian-type orbitals in computational chemistry due to the lack of clโ€ฆ

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Physics Preprint PDF DOI

Turing patterns on non-fluctuating surfaces under mechanical stresses

Fumitake Kato, Hiroshi Koibuchi, Madoka Nakayama, Sohei Tasaki, Tetsuya Uchimoto ยท 2026

This paper presents a numerical investigation of Turing patterns (TPs) utilizing the reaction-diffusion equation for the activator $u$ and the inhibitor $v$ on two- and three-dimensional lattices, disโ€ฆ

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Physics Preprint PDF DOI

Local tensor-train surrogates for quantum learning models

Sreeraj Rajindran Nair, Christopher Ferrie ยท 2026

A key bottleneck in quantum machine learning is the computational cost of repeated quantum circuit evaluations during the inference phase. To address this, we present a framework for constructing fastโ€ฆ

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