Rediscovering the Particle-in-a-Box: Machine Learning Regression Analysis for Hypothesis Generation in Physical Chemistry Lab
Author:
Affiliation:
1. Department of Chemistry, Fordham University, The Bronx, New York 10458, United States
2. Department of Computer and Information Sciences, Fordham University, New York, New York 10023, United States
Funder
Fordham University
Camille and Henry Dreyfus Foundation
National Science Foundation
Publisher
American Chemical Society (ACS)
Subject
Education,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jchemed.3c00765
Reference54 articles.
1. Using Computational Methods To Teach Chemical Principles
2. Teaching Programming across the Chemistry Curriculum
3. Introducing Quantum Calculations into the Physical Chemistry Laboratory
4. Process Oriented Guided Inquiry Learning Computational Chemistry Experiments: Revisions and Extensions Based on Lessons Learned from Implementation
5. Using Computational Chemistry to Extend the Acetylene Rovibrational Spectrum to C2T2
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