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This paper presents an innovative Transformer-based deep learning strategy for optimizing the placement of sensors aiming at structural health monitoring of semiconductor probe cards. Failures in probe cards, including substrate cracks and…

Machine Learning · Computer Science 2025-09-10 Mehdi Bejani , Marco Mauri , Daniele Acconcia , Simone Todaro , Stefano Mariani

We consider a sheared granular system experiencing intermittent dynamics of stick-slip type via discrete element simulations. The considered setup consists of a two-dimensional system of soft frictional particles sandwiched between solid…

Soft Condensed Matter · Physics 2023-05-24 Philip Bretz , Lou Kondic , Miro Kramar

This paper proposes a novel contact and wearable sensing system for estimating the upper body posture and joint angles (ankle, knee, and hip) of the human body using foot pressure distribution information obtained from a sensor attached to…

Human-Computer Interaction · Computer Science 2024-01-24 Yo Kobayashi , Yasutaka Nakashima

Change point analyses are concerned with identifying positions of an ordered stochastic process that undergo abrupt local changes of some underlying distribution. When multiple processes are observed, it is often the case that information…

Methodology · Statistics 2022-01-21 José J. Quinlan , Garritt L. Page , Luis M. Castro

We present a new type of phase-change behavior relevant for information storage applications, that can be observed in 2D systems with cluster-forming ability. The temperature-based control of the ordering in 2D particle systems depends on…

Statistical Mechanics · Physics 2019-04-30 Rogelio Díaz-Méndez , Guido Pupillo , Fabio Mezzacapo , Mats Wallin , Jack Lidmar , Egor Babaev

Product quality assessment in the petroleum processing industry can be difficult and time-consuming, e.g. due to a manual collection of liquid samples from the plant and subsequent chemical laboratory analysis of the samples. The product…

Machine Learning · Computer Science 2021-11-23 Kamil Oster , Stefan Güttel , Lu Chen , Jonathan L. Shapiro , Megan Jobson

Several important aspects of software product quality can be evaluated using dynamic metrics that effectively capture and reflect the software's true runtime behavior. While the extent of research in this field is still relatively limited,…

Software Engineering · Computer Science 2021-01-12 Amjed Tahir , Stephen G. MacDonell

To control part quality, it is critical to analyze pore generation mechanisms, laying theoretical foundation for future porosity control. Current porosity analysis models use machine setting parameters, such as laser angle and part pose.…

Machine Learning · Computer Science 2021-01-15 Rui Liu , Sen Liu , Xiaoli Zhang

Slip transfer and blocking across grain boundaries was studied in a Ti foil with a strong rolling texture deformed in tension. Prior to deformation, the shape of the grains and the orientation of the grain boundaries were quantified through…

Materials Science · Physics 2023-10-11 E. Nieto-Valeiras , E. Ganju , N. Chawla , J. LLorca

The mechanical response, serviceability, and load bearing capacity of materials and structural components can be adversely affected due to external stimuli, which include exposure to a corrosive chemical species, high temperatures,…

Materials Science · Physics 2016-07-20 C. Xu , M. K. Mudunuru , K. B. Nakshatrala

We investigate the remarkable role of position dependent damping in determining the parametric regions of symmetry breaking in nonlinear $\cal{PT}$-symmetric systems. We illustrate the nature of $\cal{PT}$-symmetry preservation and breaking…

Pattern Formation and Solitons · Physics 2015-12-16 S. Karthiga , V. K. Chandrasekar , M. Senthilvelan , M. Lakshmanan

We employ the recently introduced generalized microcanonical inflection point method for the statistical analysis of phase transitions in flexible and semiflexible polymers and study the impact of the bending stiffness upon the character…

Soft Condensed Matter · Physics 2022-12-05 Dilimulati Aierken , Michael Bachmann

Catalyst impregnation is one of the most crucial steps for preparing industrial catalysts. The inter-particle variability of the impregnated liquid inside the particles significantly affects the activity and selectivity of the catalyst.…

Fluid Dynamics · Physics 2023-07-28 Maria Silvina Tomassone , Yangyang Shen , Bill Borghard , Bryant Avila , Hernan Makse

The recent development of electric and electronic devices has been remarkable. The miniaturization of electronic devices and high integration are progressing by advances in mounting technology. As a result, the reliability of fatigue life…

Materials Science · Physics 2007-09-13 S. Kondo , Qiang Yu , T. Shibutani , M. Shiratori

A method of using partial symmetries to distinguish two dimensional symmetry protected topological (SPT) phases of on-site, unitary symmetries is proposed. This novel order parameter takes a wavefunction, such as a ground state of a lattice…

Strongly Correlated Electrons · Physics 2025-07-10 Alex Turzillo , Naren Manjunath , Jose Garre-Rubio

As technology scales, nano-scale digital circuits face heightened susceptibility to single event upsets (SEUs) and transients (SETs) due to shrinking feature sizes and reduced operating voltages. While logical, electrical, and timing…

Hardware Architecture · Computer Science 2025-08-19 Ali Jockar , Mohsen Raji

This paper presents the results of long-term experiments conducted on fixed-tilt (FT) and single-axis tracked (SAT) open-rack photovoltaic (PV) modules in South Africa. Utilizing Faiman's heat dissipation model and data filtering method,…

Applied Physics · Physics 2023-12-06 Johannes Pretorius , Shaun Nielsen

In a recent analysis of high-statistics $p_t$ spectra from 5 and 13 TeV $p$-$p$ collisions a two-component (soft+hard) model (TCM) of hadron production near midrapidity, based on fixed model functions independent of collision multiplicity…

High Energy Physics - Phenomenology · Physics 2021-07-26 Thomas A. Trainor

The evolution of metals micro/nano-structure upon severe plastic deformation (SPD) is still far to be theoretically explained, while experimental datasets are persistently growing. Major problem associated with understanding of SPD is a…

Materials Science · Physics 2021-09-06 E. F. Talantsev , M. V. Degtyarev , T. I. Chashchukhina , L. M. Voronova , V. P. Pilyugin

In sorting literature, comparative statics for multidimensional assignment models with general output functions and input distributions is an important open question. We provide a complete theory of comparative statics for technological…

General Economics · Economics 2025-12-12 Job Boerma , Andrea Ottolini , Aleh Tsyvinski
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