RESEARCH / 03

First-Principles Modeling & Computational Materials Design

Connecting electronic structure, atomic-scale mechanisms, and materials behavior

A useful calculation begins with a physical question and a model that can answer it. My research uses quantum-mechanical descriptions of surfaces and reactions to examine how atomic structure influences materials behavior—and to turn that understanding into hypotheses that can be tested with experiments.

Conceptual sequence from atomic model to electronic-structure calculations and mechanistic interpretation.
From a model to an interpretation. Schematic workflow; predicting rates requires a kinetic model beyond electronic energies alone.

FUNDAMENTAL QUESTIONS

Start with the physical question.

  • What should the model represent?

    Choose structures, chemical environments and observables that address the scientific question, while keeping the approximation explicit.

  • Which quantity is being predicted?

    An electronic energy, a free energy and a reaction rate answer different questions. Their connection requires additional physical assumptions.

  • How far can the result be taken?

    Check numerical consistency and chemical plausibility, compare alternatives, and distinguish model interpretation from experimental validation.

MODELS & APPROXIMATIONS

Electronic structure in a physical context.

Density functional theory

DFT provides a practical route to electronic structure and total energies. In my surface-chemistry work, optimized structures and energy differences help describe adsorption, bond activation and the effects of catalyst composition. Electronic-structure analysis helps interpret why an interaction changes.

The published record includes periodic plane-wave DFT calculations with VASP. Functional choice, dispersion treatment and numerical settings belong to each study’s methodology; no single setup is assumed to describe every material or chemical environment.

Electronic structure and subsurface design · Rh(211) reaction calculations

Surfaces and interfaces as physical models

Periodic slabs represent a chosen crystal surface with a finite number of atomic layers. Steps, alloy substitutions, subsurface atoms and adsorbates introduce specific local environments. Comparing such models can expose structure–reactivity relationships that a single ideal surface would conceal.

For electrochemical questions, surface thermodynamics adds chemical and electrical conditions to the comparison. The model’s coverage, composition and treatment of the environment remain part of the interpretation.

Defective palladium surfaces · Electrochemical surface composition

ELEMENTARY REACTION MECHANISMS

An energy landscape needs a pathway.

A reaction mechanism connects reactants, intermediates and products through elementary steps. Transition-state searches estimate the barriers between those states; competing pathways can have different energetic and structural requirements.

The Rh(211) mechanism study uses transition-state methods, including climbing-image nudged elastic band and dimer calculations, to investigate carbon-chain growth. Vibrational and thermodynamic corrections help connect electronic energies with the conditions represented in a model.

A barrier belongs to a particular step and starting state. A lower barrier in isolation does not establish which route dominates a reacting surface.

See the Rh(211) mechanism study

Qualitative energy profile with two transition states, an intermediate and a marked activation barrier.
Illustrative reaction coordinate. Relative levels and barrier heights are schematic, with no numerical energies or specific chemical system.

FROM ENERGETICS TO BEHAVIOR

What happens when the steps operate together?

A schematic network with competing forward and recycling pathways.
Connectivity can change the interpretation of individual barriers. This is a schematic network, not a quantitative flux map.

Microkinetic modeling

A microkinetic model assembles elementary reactions into rate equations, together with surface-site balances. Its solution predicts surface coverages and rates under the chosen assumptions; activity and selectivity are network-level outputs.

The Rh(211) preprint uses a first-principles mean-field model with flux and degree-of-rate-control analyses to examine carbonyl recycling and ethanol formation. Sensitivity analysis asks which elementary steps exert control within that model.

DFT supplies energetic information; the kinetic model predicts rates. Rate expressions, thermochemical corrections, consistency constraints and operating conditions connect the two.

Read the microkinetic preprint reference

COMPUTATIONAL CASE STUDIES

One approach. Different scientific questions.

Three examples show how the computational question changes with the material and reaction. Each illustration is a schematic, not a reproduced calculation.

Methane activation conceptual illustration; not calculated data.

Methane activation

Comparing adsorption and electronic structure reveals how subsurface composition changes the environment of carbon on nickel.

Explore surface catalysis →
Higher-alcohol synthesis conceptual illustration; not calculated data.

Higher-alcohol synthesis

Elementary reaction energetics become inputs to a network model that tests productive pathways against recycling.

Explore syngas conversion →
Electrochemical surface states conceptual illustration; not calculated data.

Electrochemical surface states

Potential-dependent thermodynamic comparisons identify plausible IrO₂ terminations for mechanistic analysis.

Explore electrocatalysis →

METHODS & SCIENTIFIC APPROACH

A connected research workflow.

  1. Scientific questionSpecify the property, reaction or mechanism that needs explanation.
  2. Physical modelChoose a surface, composition, coverage and relevant environment.
  3. Computational calculationsObtain structures, electronic properties, energies or transition states.
  4. Validation & uncertainty assessmentCheck numerical and physical consistency; examine assumptions and compare available evidence.
  5. Mechanistic interpretationConnect trends to pathways, stability or a supported kinetic model.
  6. Experimentally testable predictionsState what a measurement could confirm, distinguish or challenge.

METHODS & RESEARCH CAPABILITIES

A compact view of the toolkit.

Electronic structure & bonding

Periodic DFT; adsorption energies and structures; electronic-state and bonding analysis.

Surfaces & composition

Low-index and stepped slabs; alloy and subsurface modifications; adsorbates and defects.

Mechanisms & kinetics

Elementary reaction energetics; transition-state searches; mean-field microkinetics, reaction flux and degree-of-rate-control analysis.

Electrochemical thermodynamics

Potential- and pH-dependent free energies; surface Pourbaix analysis; comparisons of terminations and hydrogen-containing surfaces.

SELECTED PUBLICATIONS

The work behind the questions.

  1. 2017
    Tuning methane decomposition on stepped Ni surface: The role of subsurface atoms in catalyst design ↗

    Ryan Lacdao Arevalo; Susan Meñez Aspera; Mary Clare Sison Escaño; Hiroshi Nakanishi; Hideaki Kasai

    Scientific Reports 7, 13963 (2017). DOI: 10.1038/s41598-017-14050-3

  2. 2024
    A First Principles Mechanistic Study of Higher Alcohol Synthesis from Syngas on a Stepped Rhodium Surface ↗

    Ryan Lacdao Arevalo; Hiroshi Nakanishi

    Catalysis Letters 154, 3418–3425 (2024). DOI: 10.1007/s10562-023-04565-y

  3. 2026
    Carbonyl Recycling Limits Productive Ethanol Formation during Syngas Conversion on Rh(211): A First-Principles Microkinetic Analysis ↗Preprint · not peer reviewed

    Ryan Lacdao Arevalo; Hiroshi Nakanishi

    ChemRxiv, version 1 (2026). DOI: 10.26434/chemrxiv.15008804/v1

  4. 2026
    Electrochemical Surface Composition of Iridium Oxide IrO₂(110): Implications for the Oxygen Evolution Reaction Mechanism ↗

    Ryan Lacdao Arevalo; Jessiel Siaron Gueriba; Hiroshi Nakanishi

    ACS Omega 11, 4692–4698 (2026). DOI: 10.1021/acsomega.5c10410

  5. 2024
    Computational surface Pourbaix diagrams to unravel cathodic hydride formation on defective palladium surfaces ↗

    Raju Lipin; Apinya Ngoipala; Ryan Lacdao Arevalo; Matthias Vandichel

    International Journal of Hydrogen Energy 61, 460–472 (2024). DOI: 10.1016/j.ijhydene.2024.02.248

View the complete Publications section →

RESEARCH COLLABORATIONS

Connect around a scientific question.

These methods can support joint work on catalyst mechanisms, surface stability and structure–property relationships. I welcome projects in which computation and experiment sharpen the same scientific question.

Discuss a collaboration →