Results 241 to 250 of about 3,348,536 (356)

Domain decomposition and mortar mixed approach for nonlinear elliptic equations modeling flow in porous media. [PDF]

Heliyon
Arshad M, Mehmood A, Salleh Z, Akhtar SS, Khan S, Inc M.   +5 more
europepmc   +1 more source

Mathematical Analysis of Melodies: Slope and Discrete Frechet Distance

, 2014
Fumio Hazama
openalex   +2 more sources

Modeling heterogeneity in large‐scale bioreactors using the method of moments with a truncated normal distribution

AIChE Journal, EarlyView.
ABSTRACT Large‐scale bioreactors in industrial bioprocesses pose challenges due to extracellular concentration gradients and intracellular heterogeneity. This study introduces a novel approach integrating the method of moments with truncated normal distributions (MM‐TND) to model intracellular heterogeneity while maintaining computational feasibility ...
Ittisak Promma, Marc G. Aucoin, Nasser Mohieddin Abukhdeir, Hector Budman   +3 more
wiley   +1 more source

Event-triggered iterative learning control for output constrained multi-agent systems. [PDF]

PLoS One
Cao W, Li H, Qiao J, Zhu Y.
europepmc   +1 more source

A mathematical model for plasticity and damage: A discrete calculus formulation

, 2015
Ioannis Dassios, Andrey P. Jivkov, Andrew Abu-Muharib, Peter James   +3 more
openalex   +1 more source

Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics

AIChE Journal, EarlyView.
Abstract This study presents the development of a computational fluid dynamics model for predicting ultra‐low temperatures (less than −100°C). The frost formation rate was characterized using dimensionless numbers derived from operating conditions. To better capture the underlying physical phenomena of ultra‐low temperature frosting, various physical ...
Joshua Chang Qai Wong, Biao Sun, Milinkumar Shah, Ranjeet P. Utikar, Vishnu Pareek   +4 more
wiley   +1 more source

Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model. [PDF]

PLoS Comput Biol
Browning AP, Crossley RM, Villa C, Maini PK, Jenner AL, Cassidy T, Hamis S.   +6 more
europepmc   +1 more source

Mapping uncertainty using differentiable programming

AIChE Journal, EarlyView.
Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves, Carl D. Laird, Fernando V. Lima, John R. Kitchin   +3 more
wiley   +1 more source

Mathematics emotion profiles: stability and change during Grades 7 and 8. [PDF]

Eur J Psychol Educ
Held T, Hascher T.
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source