Machine learning algorithms used in PSE environments: A didactic approach and critical perspective
LF Fuentes-Cortés, A Flores-Tlacuahuac… - Industrial & …, 2022 - ACS Publications
This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …
engineering based on machine learning algorithms. A general description of most popular …
AI and BD in process industry: a literature review with an operational perspective
R Fornasiero, DF Nettleton, L Kiebler… - … on Advances in …, 2021 - Springer
Abstract Among digital technologies, Artificial Intelligence (AI) and Big Data (BD) have
proven capability to support different processes, mainly in discrete manufacturing. Despite …
proven capability to support different processes, mainly in discrete manufacturing. Despite …
Estimation and prediction of the air–water interfacial tension in conventional and peptide surface-active agents by random Forest regression
The surface tension at the critical micelle concentration (ST CMC) is an important descriptor
for surfactants in applications including cosmetics, pharmaceuticals and food. A predictive …
for surfactants in applications including cosmetics, pharmaceuticals and food. A predictive …
pHbot: Self‐Driven Robot for pH Adjustment of Viscous Formulations via Physics‐informed‐ML
Abstract pH adjustment is crucial for many industrial products, yet this step is typically
performed by manual trial‐and‐error. A particularly industrially relevant yet challenging …
performed by manual trial‐and‐error. A particularly industrially relevant yet challenging …
Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset
Liquid formulations are ubiquitous yet have lengthy product development cycles owing to
the complex physical interactions between ingredients making it difficult to tune formulations …
the complex physical interactions between ingredients making it difficult to tune formulations …
Potential of Advanced Technologies for Environmental Management Systems
M Sira - Management Systems in Production Engineering, 2024 - sciendo.com
Environmental management systems (EMS) are essential in promoting sustainable practices
and mitigating the adverse effects of human activities on the environment. As technology …
and mitigating the adverse effects of human activities on the environment. As technology …
Application of machine-learning algorithms to predict the transport properties of Mie fluids
The ability to predict transport properties of fluids, such as the self-diffusion coefficient and
viscosity, has been an ongoing effort in the field of molecular modeling. While there are …
viscosity, has been an ongoing effort in the field of molecular modeling. While there are …
Fast, transparent, and high-fidelity memoization cache-keys for computational workflows
V Vassiliadis, MA Johnston… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Computational workflows are important methods for automating complex data-generation
and analysis pipelines. Workflows are composed of sub-graphs that perform specific tasks …
and analysis pipelines. Workflows are composed of sub-graphs that perform specific tasks …
Heterogeneous computing systems for complex scientific discovery workflows
C Hagleitner, D Diamantopoulos… - … , Automation & Test …, 2021 - ieeexplore.ieee.org
With Moore's law progressively running out of steam, heterogeneous computing
architectures have been powering the top supercomputers in the world for many years and …
architectures have been powering the top supercomputers in the world for many years and …
Chemical space analysis and property prediction for carbon capture solvent molecules
JL McDonagh, S Zavitsanou, A Harrison, D Zubarev… - Digital …, 2024 - pubs.rsc.org
We present a new chemical representation (the CCS fingerprint) and data set (ccs-98) for
carbon capture solvents. We then assess the chemical space, data availability and utility of …
carbon capture solvents. We then assess the chemical space, data availability and utility of …