Willard 160
Heidi Hendrickson, Organizer
Computational chemistry is becoming an increasingly important aspect of chemical education, but instructors often find it difficult to incorporate computation into the existing chemistry curriculum. This symposium is focused on examples of how computational chemistry has been implemented in both the classroom and the laboratory. Talks highlighting computational chemistry integration across the chemistry curriculum are particularly encouraged.
All times are in Eastern Standard Time (EST)
Session 1: Wednesday 1:00 pm - 2:30 pm, Heidi Hendrickson
1:00 PM - 1:05 PM
Welcome Remarks
1:05 PM - 1:25 PM
Student explorations of protein ligand interactions: From basic to complex James Foresman
1:25 PM - 1:45PM
Accessible program for the computational study of amino acids Nathan Tam & Lorena Tribe
1:45 PM - 2:05 PM
Examining luminescence and proton stability via coordinated computation and experimentation in the undergraduate biochemistry lab Kelly Gallagher
2:05 PM - 2:25 PM
Discussion
2:25 PM - 2:30 PM
Closing Remarks
Session 2: Thursday 8:00 am - 9:30 am, Angela Migues
8:00 PM - 8:05 PM
Opening Remarks
8:05 PM - 8:25 PM
Teaching coding to experimental chemists Ben Lear
8:25 PM - 8:45PM
Getting students started with computational chemistry: Demonstrations vs. Hand-on learning Lisa Fredin
8:45 PM - 9:05 PM
Using molecular computation and visualization to teach chemistry Kevin Range
9:05 PM - 9:25 PM
Integrating 3D molecular modeling into classrooms: Examples and professional development Jennifer Chambers
9:25 PM - 9:30 PM
Closing Remarks
Session 3: Thursday 10:30 am - Noon, Lisa Fredin
10:30 PM - 10:35 PM
Opening Remarks
10:35 PM - 10:55 PM
Enhancing learning and skill development through applied computational chemistry Adriana Dinescu
10:55 PM - 11:15PM
Computational chemistry enhanced laboaratory experiments in teh atoms first general chemistry course William Vining
11:15 PM -11:35 PM
Learning chemical principles with computational chemistry: Computer-based activity using Gaussian and GaussView in general chemistry lab and lecture Hanae Haouari
11:35 PM - 11:55 PM
Computational chemistry compliments kinetic experiments on the cis-trans isomerization of 4-anilino-4'-nitroazobenzene: A blended lab for use in undergraduate chemistry courses Angela Migues
11:55 PM - 12:00 PM
Closing Remarks
Session 4: Thursday 1:30 pm - 3:00 pm, Jason Sonnenbeg
1:30 PM - 1:35 PM
Opening Remarks
1:35 PM - 1:55 PM
Supplementing the general & organic chemistry with computational mini-projects as an on-ramp to reseearch Dominic Sirianni
1:55 PM - 2:15PM
Free and low-cost cloud GPU-based computing for exercises in introductory molecular dynamics simulations Matthew Kubasik
2:15 PM - 2:35 PM
A problem focused approach towards teaching quantum mechanics and theoretical chemistry Lukas Muechler
2:35 PM - 2:55 PM
Physical chemistry labs using Google colaboratory: Random walkers and the Ising model Jacob Olshansky
2:55 PM - 3:00 PM
Closing Remarks
Session 5: Friday 1:30 pm - 3:00 pm, Heidi Hendrickson
1:30 PM - 1:35 PM
Opening Remarks
1:35 PM - 1:55 PM
Evolving the chemistry curriculum via computational chemistry Jason Sonnenberg
1:55 PM - 2:15PM
Two visions of computational chemistry in the undergraduate classroom Edward Brothers
2:15 PM - 2:55 PM
MoleCVUE panel on computation and visualization in chemistry education: Challenges and strategies for the future
Jim Foresman
Lisa Fredin
Angela Migues
Carl Salter
Jason Sonnenberg
Heidi Hendrickson (moderator)
2:55 PM - 3:00 PM
Closing Remarks
Willard 258
Heidi Hendrickson, Organizer,
Integrating computational chemistry into undergraduate and high school classrooms can make abstract concepts more concrete for students by enabling them to visualize molecules, compute molecular properties, and observe trends in molecular data from their own calculations. But implementing computational chemistry in the classroom can also be a challenge for instructors at all levels. This workshop aims to empower participants with the tools they need to integrate computational chemistry activities into their classrooms! The workshop will include demonstrations and hands-on activities based on WebMO, a free/low cost, web-based interface for performing computational chemistry calculations without the need for additional computer hardware or software. Participants will learn how to incorporate various computational activities into their own curriculum, and will be provided with ready-to-use example activities from each subfield (general, organic, physical, inorganic, etc.). The workshop will also address typical implementation challenges related to system setup, submitting computations, interpreting and visualizing results, and other practical issues. A question/answer period with experts will be included. Participants are encouraged to bring a laptop, tablet, or smartphone.
All times are in Eastern Standard Time (EST)
8:00 AM - 8:20 AM
Introductory Remarks
Introduction to WebMO Carl Salter
8:20 AM - 8:40 AM
Exploring Molecular Orbitals with WebMO and Gaussian Kevin Range
8:40 AM - 8:50 AM
Prepare for Breakout Sessions
8:50 AM - 9:00 AM
Break
9:00 AM - 9:45 AM
Breakout Session 1:
Thermochemistry (Physical)
VSEPR (Introductory)
N vs O protonation (Organic/Analytical)
Conformational Analysis (Introductory/Organic/Biochemistry)
9:45 AM - 9:55 AM
Reflection for Breakout Session 1
9:55 AM - 10:05 AM
Break
10:05 AM - 10:50 AM
Breakout Session 2:
Solubility (Introductory/Organic)
Bond Stretching (Physical)
Group Theory (Inorganic)
Choose/Create your own activity
10:50 AM - 11:00 AM
Reflection for Breakout Session 2
WebMO Guide
Charge & Energy
Exploring MOs
Thermochemistry
VSEPR: 2, 3, 4
VSEPR: 5
VSEPR: 6
N vs O Protonation
Conformational Analysis
Solubility
Bond Stretching
Group Theory
If you use these activities in your classroom reach out and let us know! We love hearing how things went and what could be improved.
Author1; Author2; etc. Title of Activity, Year, MoleCVUE MARM 2024 Website. https://sites.google.com/view/molecvue/marm2024 (accessed Month Day, Year).
The author(s) and year are provided in the footer of each activity.