Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor by Aaron Szasz, Ed Younis, Wibe Albert de Jong

“…Models of interacting many-body quantum systems that may realize new exotic phases of matter, notably quantum spin liquids, are challenging to study using even state-of-the-art classical methods such as tensor network simulations. Quantum computing provides a promising route for overcoming these difficulties to find ground states, dynamics, and more. …”
Get full text

Practical Quantum Advantage on Partially Fault-Tolerant Quantum Computer by Riki Toshio, Yutaro Akahoshi, Jun Fujisaki, Hirotaka Oshima, Shintaro Sato, Keisuke Fujii

“…Based on this framework, we present several promising applications that leverage the potential of our framework, including the Trotter simulation and quantum phase estimation (QPE). …”
Get full text

Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples by Mark Höller, Kay-M. Otto, Uwe Klose, Samuel Groeschel, Hans-H. Ehricke

“…Line integral convolution (LIC) is used as a texture-based technique in computer graphics for flow field visualization. In diffusion tensor imaging (DTI), LIC bridges the gap between local approaches, for example directionally encoded fractional anisotropy mapping and techniques analyzing global relationships between brain regions, such as streamline tracking. …”
Get full text

Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot by Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai

“…We outline the process of converting the TVM relay intermediate-representation quantised neural network dialect model to a tensor-oriented quantisation format, with the aim of harnessing the full potential of both TVM and MediaTek NeuroPilot. …”
Get full text

Stress in the Greater Geneva Basin by Jon Mosar, Sandra Borderie, Louis Hauvette, Adeline Marro

“…It is thus possible to derive locally the full stress tensor and analyze the stress state of known individual faults. …”
Get full text

Deep Learning Scheduling on a Field-Programmable Gate Array Cluster Using Configurable Deep Learning Accelerators by Tianyang Fang, Alejandro Perez-Vicente, Hans Johnson, Jafar Saniie

“…This paper presents the development and evaluation of a distributed system employing low-latency embedded field-programmable gate arrays (FPGAs) to optimize scheduling for deep learning (DL) workloads and to configure multiple deep learning accelerator (DLA) architectures. …”
Get full text

Propagation of a Vector Cosine-Gaussian Correlated Beam Through an Active GRIN Medium by Zitan Wang, Jing Wang, Lingling Huang, Shijun Zhu, Zhenhua Li

“…This paper presents a convenient approach that uses the tensor method to study the propagation of a nonuniformly correlated electromagnetic Cosine-Gaussian Schell-model (ECGSM) beam through an active gradient-index (GRIN) medium. …”
Get full text

Pressure ulcer treatment in the Pediatric Unit of a Rehabilitation Hospital by Katia Torres Batista, Isabel Cristina Correia Pereira, Ana Caroline Leôncio Romano

“…Neural tube malformations were present in 70% of patients. We performed surgery for grade III and IV PUs, using gluteal flaps, primary closure and coccygectomy, and tensor fascia lata flaps. …”
Get full text

Imaging and Image Processing Techniques for High-Resolution Visualization of Connective Tissue with MRI: Application to Fascia, Aponeurosis, and Tendon by Meeghage Randika Perera, Graeme M. Bydder, Samantha J. Holdsworth, Geoffrey G. Handsfield

“…To further these advances, we discuss the integration of UTE with Diffusion Tensor Imaging (DTI) and explore image processing techniques to enhance the localization, labeling, and modeling of connective tissues. …”
Get full text

Predictive modelling of aquaculture water quality using IoT and advanced machine learning algorithms by Md. Abdullah Al Mamun Hridoy, Chiara Bordin, Andleeb Masood, Khalid Masood

“…Advanced machine learning models, including TensorFlow Neural Networks (TFN) and Aqua Enviro Index (AEI), were applied for predictive analysis. …”
Get full text

Deep learning-driven IoT solution for smart tomato farming by Akshit Saxena, Aayushi Agarwal, Bhavya Nagrath, Carmel Sanjana Jayavanth, Shamita Thulasidoss, S. Maheswari, P. Sasikumar

“…Model optimizations, including quantization, pruning, and TensorRT, improved inference speed by 35% while maintaining 52.8% classification accuracy during our initial stage of the project. …”
Get full text

Hip and thigh muscular activity in professional soccer players during an isometric squat with and without controlled hip contraction (Actividad muscular de cadera y muslo en jugad... by Gabriel Rojas-Quinchavil, Pablo Venegas-Jeldrez, Oscar Valencia, Rodrigo Guzmán-Venegas, Oscar Florencio Araneda, Francisco José Berral de la Rosa, Andres Felipe Flores-Leon

“…The activity of the gluteus medius (GM), tensor fasciae latae (TFL), vastus medialis (VM), vastus lateralis (VL), semitendinosus (ST) and biceps femoris (BF) was obtained through surface electromyography. …”
Get full text

A geodetic plate motion and Global Strain Rate Model by Corné Kreemer, Geoffrey Blewitt, Elliot C. Klein

“…Abstract We present a new global model of plate motions and strain rates in plate boundary zones constrained by horizontal geodetic velocities. …”
Get full text

Charged compact star models in extended symmetric teleparallel gravity and influence of charge and coupling parameters on the star configuration by S. K. Maurya, Fadhila Al Khayari, G. Mustafa, Baiju Dayanandan, Phongpichit Channuie, Farruh Atamurotov

“…The present gravitational model investigates some known observed compact stars, viz. …”
Get full text

Effective Elastic and Hydraulic Properties of Fractured Rock Masses with High Contrast of Permeability: Numerical Calculation by an Embedded Fracture Continuum Approach by Hong-Lam Dang, Duc Phi Do, Dashnor Hoxha

“…This novel approach was then applied to investigate the effective permeability and elastic compliance tensor of a fractured rock masses taken from a real field, the Sellafield site. …”
Get full text

A Pure Rotational Spectroscopic Study of Two Nearly-Equivalent Structures of Hexafluoroacetone Imine, (CF₃)C=NH by Daniel A. Obenchain, Beppo Hartwig, Daniel J. Frohman, G. S. Grubbs, B. E. Long, Wallace C. Pringle, Stewart E. Novick, S. A. Cooke

“…Rotational constants, quartic centrifugal distortion constants, and the ¹⁴N nuclear electric quadrupole coupling tensor have been determined and are presented together with supporting quantum chemical calculations.…”
Get full text

A Scale Invariant Fully Conformal Cosmological Model and Its Support by Astrophysical Data by Richard Dvorsky

“…In principle, these are differences in the time-dependent global metric field between the source in the past and the observer in the present. In this paper we attempt a new interpretation of the simple solution of Einstein’s equations within a fully conformal metric for the case of a time-independent energy-momentum tensor. …”
Get full text

An Approach to Enable Human–3D Object Interaction Through Voice Commands in an Immersive Virtual Environment by Alessio Catalfamo, Antonio Celesti, Maria Fazio, A. F. M. Saifuddin Saif, Yu-Sheng Lin, Edelberto Franco Silva, Massimo Villari

“…Experiments demonstrate that a native CNN model developed through TensorFlow presents comparable performances with respect to the corresponding CNN model converted into the ONNX format, paving the way towards the development of VR applications running in headsets controlled through the user’s voice.…”
Get full text

Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry by Tsz Wai Ko, Bowen Deng, Marcel Nassar, Luis Barroso-Luque, Runze Liu, Ji Qi, Atul C. Thakur, Adesh Rohan Mishra, Elliott Liu, Gerbrand Ceder, Santiago Miret, Shyue Ping Ong

“…Built on top of the popular Deep Graph Library (DGL) and Python Materials Genomics (Pymatgen) packages, MatGL is designed to be an extensible “batteries-included” library for developing advanced model architectures for materials property predictions and interatomic potentials. At present, MatGL has efficient implementations for both invariant and equivariant graph deep learning models, including the Materials 3-body Graph Network (M3GNet), MatErials Graph Network (MEGNet), Crystal Hamiltonian Graph Network (CHGNet), TensorNet and SO3Net architectures. …”
Get full text

Polarimetric thermoacoustic imaging by Jiawei Long, Zheng Liang, Yihang Tu, Shimeng Xie, Lin Huang, En Li

“…This study suggests that pTAI has potential for dielectric properties “diffusion” mapping, for example, provides conductivity tensor mapping of brain and muscle.…”
Get full text