Emiliano Brini Headshot

Emiliano Brini

Assistant Professor

School of Chemistry and Materials Science
College of Science

585-475-2287
Office Location

Emiliano Brini

Assistant Professor

School of Chemistry and Materials Science
College of Science

Bio

My group is interested in studying and characterizing the thermodynamic properties of soft matter systems. In particular, we focus on the thermodynamics of protein-protein interactions, the solvation behavior of organic drug-like molecules, and the structure-property relations of materials. We aim to understand the fundamental driving forces of these processes and use this knowledge for practical applications. To this end, we develop and apply integrative computational modeling tools that combine physics-based simulations (molecular dynamics) with recent developments in machine learning/artificial intelligence. To learn more, please visit our group website

585-475-2287

Personal Links
Areas of Expertise

Currently Teaching

CHEM-493
1 - 3 Credits
This course is a faculty-directed student project or research in chemistry that could be considered of an original nature.
CHEM-495
1 - 3 Credits
This course is a faculty-directed student project or research involving laboratory work, computer modeling, or theoretical calculations that could be considered of an original nature. The level of study is appropriate for students in their final two years of study.
CHMB-402
3 Credits
This course introduces the structure and function of biological macromolecules and their metabolic pathways. The relationship between the three-dimensional structure of proteins and their function in enzymatic catalysis will be examined. Membrane structure and the physical laws that apply to metabolic processes will also be discussed.
CHMB-493
1 - 3 Credits
This course is a faculty-directed student project or research in biochemistry that could be considered of an original nature.
CHMB-495
1 - 3 Credits
This course is a faculty-directed student project or research involving laboratory work, computer modeling, or theoretical calculations that could be considered of an original nature. The level of study is appropriate for students in their final two years of study.
CHMP-342
3 Credits
This course provides fundamental concepts, and organizing principles of quantum chemistry, applied in all aspects of chemistry and related fields. A rigorous and detailed explanation of central, unifying concepts in quantum chemistry will be developed. Mathematical models will be described, which contain the underpinnings to concepts applied in analytical, inorganic, organic, and biochemistry courses, as well as more advanced topics in chemistry. The course will cover: Postulates and formulation of Schrödinger equations, Operators and matrix elements, Solutions for the particle-in-a-box, simple harmonic oscillators, the rigid rotor and angular momentum, the hydrogen atom; spin, the Pauli principle. Approximation methods will be described for the helium atom, the hydrogen molecule ion, the hydrogen molecule, Diatomic molecules. Linear combinations of atomic orbitals and computational chemistry will be introduced and quantum chemistry applications will be provided. In addition this course will cover standard thermodynamic functions expressed in partition functions and spectroscopy and light-matter interaction
CHMP-346
1 Credits
An advanced experiential course based on the use of experimental data, theory, simple computer programming and computational demonstration to apply and test quantum mechanical models, which explain chemical phenomena. Emphasis is placed on connecting established theories to experimental evidence, and on presenting in a formal technical report.
CHMP-753
3 Credits
This course will introduce students to an in-depth investigation into the computational theories and applications used to model complex physical and chemical phenomena. Computational methods are used to provide synergy linking experiment with theory involving such chemical processes as reaction mechanisms, docking, energy transfer and conformational conversions. Predicting spectral and thermodynamic properties of molecular systems and ensembles will also be treated.
MTSE-777
3 Credits
This course is a capstone project using research facilities available inside or outside of RIT.
MTSE-790
1 - 9 Credits
Dissertation research by the candidate for an appropriate topic as arranged between the candidate and the research advisor.
MTSE-793
0 Credits
Continuation of Thesis