Results 51 to 60 of about 554,482 (290)
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Inferring interaction potentials from stochastic particle trajectories
Physical Review ResearchAccurate interaction potentials between microscopic components such as colloidal particles or cells are crucial to understanding a range of processes, including colloidal crystallization, bacterial colony formation, and cancer metastasis. Even in systems
Ella M. King +7 more
doaj +1 more source
Mathematics, 2019 This study focuses on the stochastic differential calculus of Itô, as an effective tool for the analysis of noise in forest growth and yield modeling.
Petras Rupšys
doaj +1 more source
The Uncertainty Principle derived by the finite transmission of light and information [PDF]
, 2013 This work shows that in the frame of the stochastic generalization of the quantum hydrodynamic analogy (QHA) the uncertainty principle can be derived by the postulate of finite transmission speed of light and information .
Chiarelli, Piero
core +2 more sources
INTERACTING STOCHASTIC PROCESS AND RENORMALIZATION THEORY [PDF]
Foundations of Probability and Physics, 2001 15 pages, 4-eps figures, LaTeX, misprints ...
openaire +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Stochastic Analysis of Nonlinear Cancer Disease Model through Virotherapy and Computational Methods
Mathematics, 2022 Cancer is a common term for many diseases that can affect anybody. A worldwide leading cause of death is cancer, according to the World Health Organization (WHO) report. In 2020, ten million people died from cancer.
Ali Raza +4 more
doaj +1 more source
Electrostatic Interaction in Stochastic Electrodynamics
BULETINUL INSTITUTULUI POLITEHNIC DIN IAȘI. Secția Matematica. Mecanică Teoretică. Fizică, 2022 Abstract In this paper, the expression of the electrostatic interaction force between two charged particles is derived in the framework of Stochastic Electrodynamics. The fundamental assumption is that the electrically charged particle can be modeled as a two-dimensional oscillator that scatters the classical zero point field background ...
Simaciu, Ion +3 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Deterministic Detection of Single Ion Implantation
Advanced Engineering Materials, EarlyView.Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead +6 more
wiley +1 more source