Computational Materials & Biological Modeling

Modeling matter at every scale — from electrons to living systems

Mattermind Analytics delivers physics-grounded computational insights for materials discovery, property prediction, and biological materials design.

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10⁶+ Atoms simulated
DFT · MD · ML Multiscale methods
Hard & soft Materials & biomolecules
HPC-ready Scalable pipelines
Work

Selected projects

A cross-section of recent work spanning quantum-mechanical simulations, machine learning interatomic potentials, data-driven materials discovery, and biological materials modeling.

Electronic structure
High-throughput DFT screening of Li-ion cathode candidates
Density functional theory calculations across 1,200 polyanion compounds to identify thermodynamically stable phases with target voltage windows and low migration barriers.
Machine learning
Equivariant neural network force field for ceramic oxides
Trained a graph neural network potential on first-principles data to enable nanosecond-scale molecular dynamics of SiO₂ and Al₂O₃ systems at DFT accuracy.
Defect engineering
Vacancy migration kinetics in wide-bandgap semiconductors
Nudged elastic band calculations combined with kinetic Monte Carlo to map defect diffusion pathways and quantify their impact on carrier lifetime in GaN and SiC devices.
Thermomechanics
Thermal conductivity prediction for thermal barrier coatings
Green–Kubo equilibrium MD and non-equilibrium approaches used to compute phonon transport in YSZ and rare-earth-doped variants relevant to turbine applications.
Generative design
Generative model for novel alloy composition search
A variational autoencoder trained on the AFLOW database generates composition proposals; formation energy and stability are validated with rapid DFT single-points.
Process simulation
Phase-field modeling of solidification microstructure
Quantitative phase-field simulations of dendritic solidification in binary alloys, coupling with a CALPHAD thermodynamic database to reproduce experimentally observed grain morphologies.

Where physics meets biology

From protein mechanics to biopolymer design, we apply the same rigorous multiscale methods to soft and living matter.

Structural biology
All-atom MD of collagen fibril mechanics under strain
Microsecond-scale molecular dynamics of triple-helix collagen assemblies to characterize the molecular origins of bone toughness, strain-stiffening, and failure under tensile load.
Biopolymer design
Sequence-to-property prediction for silk-inspired fibers
Graph transformer trained on β-sheet domain sequences from spider silk proteins to predict stiffness, toughness, and extensibility, enabling in silico design of next-generation biofibers.
Membrane biophysics
Coarse-grained simulations of lipid bilayer remodeling
MARTINI-based CG-MD to probe how cholesterol content, curvature-inducing lipids, and peripheral proteins cooperate to drive membrane fission and vesicle budding events.
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Engagements
Consulting · Research partnerships · Software licensing