Writing

Formulation science
& applied AI

Practical writing on extended release development, dissolution modeling, kinetics analysis, and how AI tools fit into a rigorous scientific workflow.

What the Korsmeyer-Peppas n value actually tells you about your ER matrix
The release exponent n is one of the most cited numbers in ER formulation literature — and one of the most misinterpreted. Here's a practical breakdown of what it means, when it applies, and what to do when your n sits in the "anomalous" range between 0.45 and 0.89.
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Choosing the right HPMC viscosity grade for extended release tablets
K4M, K15M, K100M — the viscosity grade of your HPMC determines how fast the matrix swells, how quickly water ingresses, and ultimately how the drug diffuses out. Here's a practical guide to selection, with expected Higuchi kH values for each grade.
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How I use AI to make formulation development more systematic
The tools I built for NovadoseAI started as scripts I ran in my own consulting work. This post explains the problem they solve — and why mechanistic grounding matters more than raw AI capability when you're trying to make defensible formulation decisions.
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Understanding the Higuchi model: assumptions, limitations, and when it breaks down
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f2 similarity: a practical guide to regulatory use and its limitations
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