The 2026 ACID Series

Welcome to the ACID series, where Amazing Chemistry Insights and Discussions occur twice weekly during the summer of 2026.

What?

Join us for a FREE series of discussions with leading experts, industry trailblazers, and renowned researchers in computational & experimental chemistry!

When?

Tuesdays & Thursdays from 3 - 4 PM EDT over Zoom. Links provided via our mailing list.

Who?

Computational tools aren't just for computational chemists! Undergraduate students of all disciplines in the chemical sciences are invited to learn about molecular computation & visualization.

Series Programming

June 23 - Heidi Hendrickson - Using WebMO

June 25 - Ed Brothers - GauOpen: A Tool for Interfacing

June 30 - No discussion

July 2 - Joseph Bennett - How to Set Up and Interpret a Solid State DFT Calculation

July 7 - Robert Gotwals - Computational Chemistry in Drug Design and Discovery using StarDrop

July 9 -No discussion

July 14 - Zachary Knepp - Modeling Electronic Excited States with Time-Dependent Density Functional Theory (TDDFT)

July 16 -Tom Ritchie - Practical and ethical use of AI tools in undergraduate chemistry: where it genuinely helps and where it falls short.

July 21 - Kerri Taylor - Building Bonds: How Toy Interlocking Blocks and Organic Chemistry Are More Alike Than You Think!

July 23 - Sagar Khare - Designing enzyme selectivity and binding specificity using AI and physical chemistry

July 28 - Rigoberto Hernandez - Questions in Chemistry

July 30 - Adrian Roitberg - Questions in Molecular Dynamics

Aug 4 - Scott Simpson - How computational chemistry can be used to solve environmental problems

Aug 6 - Scott Crawford - Luminescence Spectroscopy and Materials Science: Using Ligands to Make Gold Glow

Aug 11 - Croix Laconsay - How and why materials scientists benefit from molecular modeling

Aug 13 -Sara Mason - Understanding materials, organizing knowledge and accelerating discovery with modern computational chemistry and artificial intelligence

Aug 18 - Ignacio Pickering - How and why we use neural networks to model energy surfaces for molecular simulations

Aug 20 -Lisa Fredin - AI ethics in graduate study