CEP: June 2018

Deep learning is fueling what many believe will be the biggest technology revolution the world has seen. Chemical engineers routinely use computers for modeling, simulation, design, and optimization of chemical processes. Could computers do more than mere computation and someday solve high-level problems like a chemical engineer? Other topics in this issue include on-site nitrogen production; closing the skills gap; evaluating project success; and FTIR Gas Analysis.


Millennials: The New Guard

Speak the moniker Millennial and you will undoubtedly be met with a barrage of negative associations and perceived character flaws. You could say that this is part of a pattern — previous generations, under threat of becoming obsolete, lash out. This time, however, it feels unique. It has become a casual pastime to beat up on Millennials — even among Millennials...

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Introduction to Deep Learning: Part 1

On The Horizon
Amit Gupta
Although deep learning, a branch of artificial intelligence, has become prominent only recently, it is based on concepts that are familiar to chemical engineers. This article describes artificial neural networks — the algorithms that enable deep learning.

Meeting Nitrogen Demand

Back To Basics
Robert Lewis, Timothy Lebrecht
On-site nitrogen generation can be a cost-effective option for a wide range of purity and flow requirements.

Closing the Skills Gap

Stewart W. Behie, Matthew K. Henwood
The workplace has changed and will continue to change as older workers retire and new generations take their place. Companies will need to adapt to retain and foster the necessary technical know-how.

Evaluate Project Success

Plant Operations
Nat D. Schatz
Traditional methods of determining project success take into account only whether the project met its budget and schedule. A more meaningful assessment evaluates the impact of the project on the organization.

FTIR: A Flexible Tool for Industrial Gas Analysis

Nenne Nordström, Jim Cornish
Fourier transform infrared (FTIR) spectroscopy identifies and quantifies gas and vapor samples. This article outlines how FTIR analyzers work and how they are commonly used in field applications.
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