Materia Dynamics is a computational materials science consultancy for R&D teams across the chemical, energy, electronic, semiconductor, biomedical, and advanced manufacturing industries. We predict the properties of your material or formulation — thermal, mechanical, chemical, electronic, spectroscopic, biological, among others — directly from first-principles physics — before your team ever explores it, tests it in the lab, or scales it to production. At the same time, every material and formulation you work with generates a growing volume of information — and the next breakthrough is often already buried in your data. That's why we add artificial intelligence to surface the hidden patterns and turn them into clear direction. The result: a ranked shortlist of optimal formulations that shows you exactly where to take your R&D next. Your team tests only what works.
Every lab iteration burns weeks, expensive reagents, and engineering hours. And there's no guarantee the result will be optimal.
Traditional formulation discovery requires multiple lab iterations, each consuming weeks. The cumulative timeline delays your product roadmap by quarters.
Most lab-tested candidates fail. The reagents, equipment time, and engineering hours spent on them are unrecoverable sunk costs.
Companies investing in computational screening reach optimal formulations faster. The advantage compounds with every development cycle.
You bring the engineering problem. We deliver a shortlist of optimal materials — ranked, with data, ready for validation.
We understand your engineering problem, the properties you need to optimize, and your process constraints. Together we define what success looks like.
We model your materials from first-principles physics — DFT and molecular dynamics — and apply machine learning and graph neural networks to mine your data for hidden patterns. Hundreds of candidates screened in days, not months.
You receive ranked optimal candidates with predicted property data, confidence scores, and direct recommendations for your production process.
From thermal conductivity to biocompatibility — if it involves a material, a molecule, or a formulation, we can compute it.
You define which properties matter. We screen hundreds of candidates and deliver ranked results with confidence scores.
And when you bring existing data, we apply machine learning and graph neural networks to mine it for hidden patterns — turning information you already have into clearer direction.
Discuss your challengeTraditional R&D tests 10–50 compounds over months. We screen 500+ computationally in weeks — with near-zero reagent waste and physics-backed confidence in every result.
Your next step forward is hidden in your data.
Every project ends with a structured output your engineers can act on immediately.
Top-performing materials sorted by composite score across your target properties. Each candidate includes confidence intervals.
Predicted values for every property you specified — thermal, mechanical, chemical, surface — with units and methodology notes.
Direct recommendations for your manufacturing process: which candidates to validate first, and what to expect in lab confirmation.
Ph.D. in computational chemistry with research experience spanning three countries — from the University of Costa Rica's CELEQ research center to Bar-Ilan University in Israel, to the University of Alabama at Birmingham, where he worked on materials development for transistor applications.
That combination of fundamental research and applied industry experience now serves a clear purpose: helping R&D teams predict how materials will perform before committing to production. His experience in predicting and optimizing material properties translates directly into ranked candidate lists, property predictions, and formulation recommendations your team can act on.
Materia Dynamics exists because the computational tools to predict material behavior already exist — they just need someone who has spent a career mastering them and knows how to put them to work for engineering teams.
Schedule a 30-minute technical discussion. We'll assess your challenge and show you exactly what computational simulation can deliver.
Materia Dynamics