Molecule U Want: Freedom of Choice Reaction Discovery with Malononitrile and Beyond.

Malononitrile is a readily available feedstock chemical distinguished by its high acidity and unusual electronic structure. Guided by a “Freedom of Choice” philosophy in reaction discovery, we are exploring this underutilized reagent as a platform for inventing new, often enantioselective, transformations with the potential to simplify access to sp3-rich drug-like molecules. This lecture will highlight historical milestones in malononitrile chemistry and describe reactions developed in our laboratory.

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Department of Chemistry Announces 2026 Alumni Events

The Department of Chemistry will its annual alumni events this spring for alumni, faculty, students, and friends of the department. The series of events kicks off on Friday, April 17, with the Alumni Lecture at 4:00 PM followed by the Awards Banquet beginning at 5:30 PM. Two weeks later, the Alumni Golf Scramble will be held on Saturday, May 2 with a 1:00 PM start at the UGA Golf Course.

Chemistry Graduate Students Named As 2026 Outstanding Teaching Assistants

The UGA Center for Teaching and Learning (CTL) administers the Outstanding Teaching Assistant (OTA) award, sponsored by the Office of the Vice President for Instruction. This award recognizes teaching assistants who demonstrate superior instructional skills while serving in the classroom or laboratory. Five graduate students from the Department of Chemistry are among this year's recipients of the OTA award: Ashley Allen, Yalda Amini, John Skelton, Katherine Stanley, and Yu-Ting Tseng.

Geometrical Frustration in Quantum Materials:
To Order or Not To Order?

One of the major focuses of solid-state chemistry is properties-structure relation. Geometrical frustration is an intriguing structural property which can lead to various quantum phenomena. On one hand, geometrical frustration suppresses long-range magnetic ordering in systems with localized magnetic moments and leads to exotic quantum states, such as quantum spin liquid.

Approaching the FCI Limit
with Local Correlation: MP2 to CCSDTQ

Local pair natural orbital coupled-cluster methods have seen much success recently, allowing for the application of “chemically accurate” approaches such as CCSD(T) to significantly larger systems. Notably, the DLPNO-CCSD(T) approach of Professor Frank Neese and coworkers has been utilized to run computations on whole proteins such as crambin (636 atoms) and insulin (789 atoms). At the CCSD(T) level of theory, local approximations have errors which are controllable to within 0.25 kcal/mol through tight parameters.

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