Award-Winning Physical Chemistry Tutors
serving North Las Vegas, NV

Katherine's broad math and science background — spanning calculus, thermodynamics, and physics — means she's comfortable with the multivariable calculus and differential equations that make p-chem derivations so dense. She takes apart concepts like Maxwell relations and chemical potential by slowing down at the exact algebraic step where the physical intuition tends to disappear. Rated 5.0 by students.

A physics degree means Eitan spent years inside the quantum mechanics, statistical mechanics, and thermodynamics that p-chem courses formalize on the chemistry side — Schrödinger's equation, Boltzmann statistics, and state functions are native territory rather than new abstractions. He teaches the derivations by clarifying the physical picture each equation encodes, so a student wrestling with a partition function or a Carnot cycle can see the molecular behavior driving every calculus step. Holds a 5.0 rating.

Medical school at the Medical College of Wisconsin means Abrahim encounters p-chem's core concepts daily — reaction kinetics in pharmacology, thermodynamic energy balances in physiology, and the quantum mechanical principles behind spectroscopic diagnostics. His UCLA biology degree and 34 ACT demonstrate the mathematical fluency needed to work through derivations involving state functions, equilibrium constants, and entropy calculations without losing sight of what the chemistry actually describes. Rated 5.0 by students.

Having studied quantum mechanics and electromagnetism as part of his physics degree, Michael already speaks the mathematical language that makes p-chem so demanding — the wave equations, the statistical distributions, the calculus buried inside every thermodynamic derivation. He teaches from the physics side in, explaining why a Boltzmann distribution or a partition function behaves the way it does before layering on the chemical context that gives it practical meaning.

A PhD in biophysics and a master's in organic chemistry mean Amin has worked through the quantum mechanics, statistical mechanics, and thermodynamics of p-chem from both the physical and molecular sides — deriving partition functions in one course, then applying free energy calculations to real chemical systems in the next. That dual perspective lets him teach a topic like the Boltzmann distribution or a phase diagram by moving fluidly between the mathematical formalism and the chemistry it's actually describing.

Neuroscience at the undergraduate level means Amy has already tangled with the thermodynamics and kinetics that p-chem formalizes — Nernst equation derivations, membrane energetics, and the statistical behavior of ion channels all demand that same calculus-heavy reasoning. She uses those biological touchpoints to make abstract topics like entropy and equilibrium constants feel grounded in systems students can actually picture. Rated 5.0 by students.

Enric holds a PhD in Chemistry, which means p-chem wasn't just a course requirement — it was the foundation his entire research career was built on, from quantum mechanical modeling to thermodynamic analysis at the graduate level. He teaches the subject by slowing down at the exact calculus step where a derivation goes from followable to opaque, rebuilding the physical reasoning behind each manipulation before moving forward. Rated 5.0 by students.

I am currently a graduate student in Chemical Engineering at the University of Delaware. I am working on using magnetic and flow fields to create advanced materials by directing the self-assembly process of nanoparticles . I have tutored students in Chemistry, Physics and Math all throughout undergraduate and graduate work. I truly enjoy breaking material down into its core components that allows the students to understand complicated information.

Before switching to economics at Columbia, Damani was on the pre-med track — which means he's recently sat through the same thermodynamics, kinetics, and calculus-intensive chemistry coursework that p-chem demands, and remembers exactly where the conceptual gaps tend to open up. He approaches topics like enthalpy, equilibrium constants, and rate laws by reconstructing the reasoning behind each equation rather than just presenting the final derivation. Rated 5.0 by students.

Medical school at Tufts demands fluency in the thermodynamics and kinetics that p-chem students dread — Eric works through Gibbs free energy calculations, entropy-driven processes, and rate equations daily in a clinical science context, which keeps the material grounded rather than purely abstract. His economics background also sharpens the kind of quantitative modeling and equilibrium thinking that translates surprisingly well to topics like chemical potential and phase diagrams.

Studying biochemistry and cell biology at Rice means Sugi already had to internalize the thermodynamic and kinetic principles that drive cellular processes — free energy calculations for metabolic reactions, equilibrium constants governing binding events — before tackling them in their pure mathematical form. She unpacks p-chem derivations by linking each variable back to the molecular behavior it quantifies, turning something like a chemical potential expression into a description of what molecules are actually doing at a phase boundary. Rated 5.0 by students.

Biochemistry lab work and a dual bachelor's in arts and biochemistry mean Andrew has already applied the thermodynamics, kinetics, and quantum mechanical concepts that make p-chem brutal — calculating free energy changes in enzyme systems, modeling reaction rates at the molecular level. He unpacks the heavy calculus in derivations by keeping one foot in the real chemistry, so a partition function or a phase diagram reads as a description of molecular behavior rather than an exercise in pure math. Rated 4.9 by students.

This is Jacob's home turf. He earned his Ph.D. in Physical Chemistry from UC Berkeley and now conducts research at Northwestern, so topics like quantum mechanics, statistical thermodynamics, and spectroscopy are part of his everyday work. He walks students through the math-heavy derivations that make p-chem notoriously difficult, connecting each equation back to the physical picture it describes.