Results 161 to 170 of about 278,852 (350)

Comparing exergy and heat pump work in distillation systems

AIChE Journal, EarlyView.
Abstract This study compares the exergy supplied to a distillation column with the actual energy consumption of a heat pump‐assisted distillation (HPAD) system. It evaluates the reliability of exergy as a proxy for heat pump work demand in such systems.
Akash Sanjay Nogaja, Mohit Tawarmalani, Rakesh Agrawal   +2 more
wiley   +1 more source

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

A fixed point theorem for set valued mappings

, 1968
J.T. Markin
openalex   +1 more source

Coupled fixed point theorems in partially ordered metric spaces

Advances in Fixed Point Theory, 2019
N. Luong, N. X. Thuan
semanticscholar   +1 more source

Common fixed point theorems for ( T , g ) F -contraction in b-metric-like spaces. [PDF]

J Inequal Appl, 2018
Yu D, Chen C, Wang H.
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

Remarks on Some Fixed Point Theorems [PDF]

, 1976
Teck-Cheong Lim
openalex   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Fixed-point theorems for compact convex sets [PDF]

, 1961
Mahlon M. Day
openalex   +1 more source

Fixed point theorems on multi valued mappings in b-metric spaces. [PDF]

Springerplus, 2016
Maria Joseph J, Dayana Roselin D, Marudai M.   +2 more
europepmc   +1 more source