معرفی
LeGrande Slaughter serves as Professor and Department Chair of Inorganic and Organometallic Chemistry at the University of North Texas, having joined UNT in 2013 after advancing from Assistant to Associate Professor with tenure at Oklahoma State University (2002-2013).
His academic foundation includes:
- B.A. in Chemistry, Drew University (1994)
- Ph.D. in Inorganic Chemistry, Cornell University (2000)
- Postdoctoral research, Stanford University
Dr. Slaughter's research centers on transition metal organometallic chemistry and catalysis, specifically designing catalysts through controlled metal-ligand interactions for organic synthesis and energy conversion. His group pioneers applications of inorganic/organometallic synthesis in catalyst design, homogeneous catalysis of industrially relevant reactions, and nanostructured organometallic materials development. Key innovations involve gold and palladium catalytic systems with tailored carbene ligands.
Analysis of his 2015-2024 publications reveals dominant expertise in gold-catalyzed transformations using acyclic diaminocarbene ligands, with significant contributions to enantioselective synthesis, regiodivergent reactions, and ligand steric/electronic effects. His work bridges fundamental mechanistic studies with practical applications in heterocyclic synthesis and chiral molecule production.
No scientific awards were documented in source materials.
Dr. Slaughter leads an active research group supported by external grants, mentoring graduate students in organometallic synthesis and catalytic methodology development. While specific funding sources and student names weren't provided, his prolific publication record in high-impact journals demonstrates sustained research productivity and collaborative engagement.
The research group operates specialized laboratories for synthesizing and characterizing organometallic compounds, with dedicated facilities for catalyst testing, kinetic analysis, and chiral separation techniques to advance mechanistic understanding and reaction optimization.
