CACHE is a 501(c)(3) not-for-profit that promotes the development and distribution of computer-related and/or technology-based educational aids for the chemical engineering profession.  Some of the activities include:

  • Organize and promote conferences and workshops on Computer Aided Process Operations/Chemical Process Control, Computer Aided Process Design, Molecular Modeling and Simulation, Systems Biology in Engineering, and Process Analytics and Machine Learning.
  • Maintain a Teaching Resource Center: This center (https://cache.org/teaching-resources-center) houses a curated collection of materials to assist faculty in teaching chemical engineering core courses.
  • Support LearnChemE: This free website contains teaching/learning resources for chemical engineering, including screencasts, interactive simulations, digital experiments, FE and PE exam reviews, programming boot camps, self-study modules, instructor resources, how to study/learn resources, and spreadsheets.
  • Provide faculty grants to support development of computer-based educational modules (https://cache.org/computational-tools-development)
  • Support faculty awards: ASEE Edgar CACHE Award, AIChE Himmelblau Award, AIChE Evans Award  
  • Provide graduate student travel awards: over $40,000 in last three years for conferences
  • Provide student awards for best posters at conferences
  • PSE Press: publishes research results on process systems engineering
  • Systems and Control Transactions: conference proceedings on process systems engineering
  • LAPSE: living archive for process systems engineering

Some recent accomplishments:

Future Initiatives:

  • Industrial Datasets – Making curated sets available to faculty.
  • Molecular Modeling – working to develop curated best practices and teaching materials on how to use quantum chemistry, molecular simulation and machine learning.

Blog


Updates to the CACHE Teaching Resources Center

John Falconer

Wednesday, August 16, 2023

Significant improvements have been made to the CACHE Teaching Resources Center (TRC) (http://cache.org/teaching-resources-center) in the last year.

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FOPAM 2023 (CACHE Sponsored Conference)

Phil Westmoreland

Wednesday, August 9, 2023

AI and analytics-aided decision-making are becoming well established in the process industries, new tools and applications are appearing, and savvy users are a key to advancing them.

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Empower Engineers in Analytics and Machine Learning with Education and Workforce Development

John Hedengren

Saturday, August 5, 2023

At the recent FOPAM conference, an insightful session shed light on the evolving landscape of The Past and Future of Process/Product Analytics & Machine Learning, including Education and Workforce Development.

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Kitchin to receive Award for Innovation in Chemical Engineering Education

Monday, July 10, 2023

Prof. John Kitchen (Carnegie Mellon) will receive the award for Innovation in Chemical Engineering Education from the American Institute of Chemical Engineers. The citation for Kitchin's award reads: "For contributions in computing education in chemical engineering through the creation of open-source Python libraries and course materials, social media, and scientific publishing tools."

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FOCAPD 2024 (CACHE Sponsored Conference)

Monday, July 3, 2023

We are excited to announce that the Foundations of Computer Aided Process Design (FOCAPD) 2024 abstract submission system is now open. FOCAPD 2024 will be held July 14-18, 2024, at the Beaver Run Resort in Breckenridge, Colorado, USA. Deadline to Submit Abstracts: Friday, September 15, 2023 

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Pages

Reading Materials


thermodynamics
Integrating Spectroscopy, Thermodynamics, and Computational Chemistry in the Undergraduate Laboratory by Studying Globin–Nitrite Interactions
Mary Grace I. Galinato, Ashlee M. Harwood, Allyson Ray, and Emily P. Kiker
Journal of Chemical Education
Monday, September 29, 2025
educational technology
Active Learning in Environmental Engineering: combining interactive platforms and project-based approaches to boost engagement and academic performance
Zahara M. de Pedro, Ariadna Alvarez-Montero, Jose A. Casas, and Macarena Munoz
Education for Chemical Engineers
Friday, September 19, 2025
AI and ML
Using Response Surface Methodology To Enhance Limited Data Sets for Machine Learning: A Polyvinyl Butyral Synthesis-Based Chemistry Undergraduate Teaching Case
Yingying Liu, Liang Gao, Zican Yang, Huatang Zhang, Jizhong Chen, Jiayuan Xu, and Kai Yin
Journal of Chemical Education
Thursday, September 11, 2025
AI and ML
Application of AI teaching assistant to college education of principles of chemical engineering
Fuhai Yu, Jingning Lv, Hong Han, Yongjie Zhang, and Jian Zhang
Education for Chemical Engineers
Thursday, August 21, 2025
thermodynamics
Using large language models for solving textbook-style thermodynamic problems
Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, and Hans Hasse
Computers & Chemical Engineering
Sunday, August 17, 2025

Pages



Teaching Resources Center including syllabi, schedules, computer-aided tools, interactive simulations, screencasts, concept questions, textbook information, useful links, and in some cases, complete course notes

Development of Computational-Based Tools and Modules for Chemical Engineering Education Seed Grant Program 

An article prepared by the CACHE Design Task Force argues that the emphasis on manufacturing processes over innovative product design is a critical gap in traditional chemical engineering design courses.

conference series in areas of importance to chemical engineering

Institutional Members

As Institutional Members these colleges of engineering support CACHE's contributions to the engineering education community. Contact us (cache@cache.org) to become a supporter.

Departmental Members

Annual support from these Departmental Members enables CACHE to continue established activities while nurturing new projects. Contact us (cache@cache.org) to become a supporter.

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CACHE Corporation
P.O. Box 126
Notre Dame, IN 46556
Phone: (574) 631-5687
cache@cache.org

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