Expertini Research Research

Browse Research Papers

800+ open-access research outputs.

โœ• Clear
๐Ÿ” adam timar ๐Ÿ“‚ Physics
Showing 800 results for "adam timar" in Physics
Physics Preprint PDF DOI

The Equivalence Principle and Kinematical Structure in the ADM Framework

L. G. Pereira ยท 2026

The relation between uniformly accelerated laboratories and laboratories supported in a gravitational field lies at the conceptual core of the Equivalence Principle, yet its precise kinematical contenโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Hessian-vector products for tensor networks via recursive tangent-state propagation

Isabel Nha Minh Le, Roeland Wiersema, Christian B. Mendl ยท 2026

Optimizing tensor networks with standard first-order methods often leads to slow convergence and entrapment in local minima. Although second-order optimization offers enhanced robustness, explicitly cโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Seeing at Timau National Observatory Based on ERA5 Dataset

Rhorom Priyatikanto, Gerhana P. Putri, Clara Y. Yatini, Isfahani Rusyda, Evan I. Akbar, Agustinus G. Admiranto, Ferdhiansyah Noor, Siti Maryam, Elyyani, Abd Rachman ยท 2026

Understanding the seeing conditions is crucial for astronomical observations using a ground-based telescope. This study analyzes long-term atmospheric data (2002-2021) from the ERA5 dataset to assess โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

PISP: Projected-Space Inference of Stellar Parameters

Jun-Chao Liang, Yin-Bi Li, A-Li Luo, Shuo Li, Xiao-Xiao Ma, Hai-Ling Lu, Shu-Guo Ma, Ming-Hui Jia, Shuo Ye, Hao Zeng, Ke-Fei Wu, Zhi-Hua Zhong, Xiao Kong, Li-Li Wang, Hugh R. A. Jones ยท 2026

To improve the accuracy and efficiency of high-dimensional stellar parameter inference in large spectroscopic datasets, we propose a projection-assisted parameter-inference framework -- Projected-Spacโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Quantum-Enhanced Single-Parameter Phase Estimation with Adaptive NOON States

Simanshu Kumar, Nandan S Bisht ยท 2026

Quantum metrology promises phase sensitivity surpassing the shot-noise limit by exploiting entanglement and photon-number correlations. NOON states-maximally path-entangled $N$-photon superpositions $โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

High Resolution X-ray Spectroscopy of the Nova-Like Cataclysmic Variable BZ Cam using Chandra HETG: Diagnosis of the ADAF-like (Advective) Hot Flow

Solen Balman, Eric M. Schlegel, Patrick Godon, Jeremy J. Drake, Edward M. Sion ยท 2026

Nova-likes such as BZ Cam are high state Cataclysmic Variables showing hard X-ray emission that can be characterized with advective hot flows in the inner accretion disk. We explore Chandra High Energโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Variable ADAF disk as the origin of Changing-Look AGN

Chun Xu ยท 2026

We propose that changing-look AGN transitions arise from size variability of the inner ADAF disk. The AGN accretion disk comprises an outer thin disk and an inner thick ADAF component whose size is inโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Optimal threshold resetting in collective diffusive search

Arup Biswas, Satya N Majumdar, Arnab Pal ยท 2026

Stochastic resetting has attracted significant attention in recent years due to its wide-ranging applications across physics, biology, and search processes. In most existing studies, however, resettinโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Physics-Informed Neural Network Approach for Surface Wave Propagation in Functionally Graded Magnetoelastic Layered Media

Diksha, Katyayani, Hriticka Dhiman, Soniya Chaudhary, Pawan Kumar Sharma, Mayank Kumar Jha ยท 2026

This paper investigates propagation of SH-waves in a layered composite structure consisting of a pre-stressed functionally graded magnetoelastic orthotropic layer overlying a pre-stressed functionallyโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Structured Quantum Optimal Control under Bandwidth and Smoothness Constraints-An Inexact Proximal-ADMM Approach for Low-Complexity Pulse Synthesis

Ziwen Song ยท 2026

Quantum optimal control is often judged by nominal fidelity alone, even though realistic pulse-design studies must also account for bandwidth, amplitude, and smoothness constraints. I study this strucโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

A variable ADAF disk model for X-ray binary systems

Chun Xu ยท 2026

We propose a variable ADAF disk model for X-ray binary systems. In this model, the accretion flow consists of an outer thin disk and an inner optically thick advection-dominated accretion flow (ADAF) โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Propagation Characteristics of the April 21, 2023 CME

Sandeep Kumar, Nandita Srivastava, Parthib Banerjee, Nat Gopalswamy ยท 2026

Accurate estimation of propagation characteristics of coronal mass ejections (CMEs) is crucial for predicting their geoeffectiveness. Stereoscopic techniques to study the kinematics of CMEs generally โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Memristive tabular variational autoencoder for compression of analog data in high energy physics

Rajat Gupta, Yuvaraj Elangovan, Tae Min Hong, James Ignowski, John Moon, Aishwarya Natarajan, Stephen Roche, Luca Buonanno ยท 2026

We present an implementation of edge AI to compress data on an in-memory analog content-addressable memory (ACAM) device. A variational autoencoder is trained on a simulated sample of energy measuremeโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Mesoscopic MCT theory resolves Giant Non-Gaussian Parameter and Flory's conjecture

Yikun Ren, Feixiang Xu, Ming Lin ยท 2026

Extending Prigogine's ideas to the interior of the system, we generalize mode-coupling theory from a microscopic to a mesoscopic formulation by incorporating the non-equilibrium eigen-phase. The resulโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Optimal Control Design Guided by Adam Algorithm and LSTM-Predicted Open Quantum System Dynamics

JunDong Zhong, ZhaoMing Wang ยท 2026

The realization of high-fidelity quantum control is crucial for quantum information processing, particularly in noisy environments where control strategies must simultaneously achieve precise manipulaโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Numerically optimized FROG results for the study of red-shifted spectra in multi-frequency Raman generation

Sakthi Priya Amirtharaj, Zujun Xu, Donna Strickland, Borun Chowdhury, Sagnik Acharya, Priyam Samantray, Anil Prabhakar, Kisor Kumar Sahu, Franz Bamer, S. Swayamjyoti ยท 2026

When multifrequency Raman scattering is driven in the transient regime by two chirped pump pulses, the resulting anti-Stokes orders exhibit asymmetric spectral broadening toward lower frequencies, leaโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Efficient quantum machine learning with inverse-probability algebraic corrections

Jaemin Seo ยท 2026

Quantum neural networks (QNNs) provide expressive probabilistic models by leveraging quantum superposition and entanglement, yet their practical training remains challenging due to highly oscillatory โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Quantum solver for single-impurity Anderson models with particle-hole symmetry

Mariia Karabin, Tanvir Sohail, Dmytro Bykov, Eduardo Antonio Coello Perez, Swarnava Ghosh, Murali Gopalakrishnan Meena, Seongmin Kim, Amir Shehata, In-Saeng Suh, Hanna Terletska, Markus Eisenbach ยท 2026

Quantum embedding methods, such as dynamical mean-field theory (DMFT), provide a powerful framework for investigating strongly correlated materials. A central computational bottleneck in DMFT is in soโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Cauchy Data for Formation of Multiple Black Holes with Prescribed ADM Parameters

Dawei Shen, Jingbo Wan ยท 2026

We give a simple construction of smooth, asymptotically flat vacuum initial data modeling a relativistic collapsing $N$--body system, with independently prescribed ADM energy, linear momentum, and angโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Implicitly Restarted Lanczos Enables Chemically-Accurate Shallow Neural Quantum States

Wei Liu, Wenjie Dou ยท 2026

The variational optimization of high-dimensional neural network models, such as those used in neural quantum states (NQS), presents a significant challenge in machine intelligence. Conventional first-โ€ฆ

Read Paper โ†’
Page 1 of 40 Next โ†’