Results 141 to 150 of about 162,917 (276)

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

open access: yesAdvanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab   +5 more
wiley   +1 more source

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller   +4 more
wiley   +1 more source

Firms' Green Responses to Environmental Regulations: A Three‐Dimensional Concurrent Engineering Perspective

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates companies' responses to energy efficiency policies, focusing on mandatory and voluntary regulations that create a complex landscape for businesses to navigate. Using a sample of 1473 firms across 29 European countries (2002–2018), we explore the impact of legislation on green redesign—operationalized through ...
Thomas Alexopoulos   +3 more
wiley   +1 more source

Anatomical Study and Classification of Foramina of the Squamous Part of the Temporal Bone

open access: yesClinical Anatomy, EarlyView.
ABSTRACT The postglenoid foramen (PGF) is a rarely reported anatomical variant of the temporal bone, with limited data on its morphology, prevalence, and clinical relevance, particularly in non‐European populations. This study aimed to investigate the anatomy and frequency of foramina located on the squamous part of the temporal bone, including the PGF,
Tawanrat Paensukyen   +7 more
wiley   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

Carbon monoxide adsorption on NaY zeolite and impregnated with 5% niobium: Characteristics and fixed‐bed study

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Schematic of the CO adsorption process in a fixed‐bed column containing pure NaY zeolite and Nb‐modified NaY (NaY–5%Nb). On the left, breakthrough curves and temperature profiles highlight the dynamic performance and thermal effects during CO adsorption.
Elson Oliveira   +3 more
wiley   +1 more source

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