Structural Parameter Optimization Service

Structural Parameter Optimization (SPO) is a fundamental computational technique in materials science, condensed matter physics, quantum chemistry, and related research fields, which refines the geometric and lattice parameters of atomic, molecular, or condensed-phase systems to achieve a thermodynamically stable, low-energy equilibrium state. Grounded in quantum mechanics, primarily first-principles calculations, and numerical optimization algorithms, SPO treats key structural variables—such as lattice constants, cell angles, atomic coordinates, and bond parameters—as adjustable factors, aiming to minimize system total energy or maximize stability while adhering to physical constraints. The optimization process relies on exploring a system's potential energy surface (PES), with algorithms like conjugate gradient, quasi-Newton methods, and machine learning-enhanced models acting as "navigators" to guide the system from high-energy initial configurations to stable local or global minima, adapting to systems of varying sizes and complexity.

In scientific research, SPO is an essential prerequisite for reliable computational modeling and property prediction, as experimental structures from techniques like X-ray diffraction often contain inherent errors, residual stress, or metastable configurations that render them unsuitable for direct analysis. By iteratively adjusting parameters to achieve near-zero atomic forces and negligible energy changes between iterations, SPO eliminates these inconsistencies, producing physically meaningful structures aligned with experimental observations. Its significance spans multiple research areas: it determines stable crystal phases of 2D materials in condensed matter physics, refines adsorbate-substrate structures for catalysis research, and optimizes electrode-electrolyte interfaces in energy materials, providing the foundational accuracy needed to translate theoretical predictions into experimental breakthroughs.

Our Services

Eata Simulation provides comprehensive Structural Parameter Optimization services tailored exclusively to scientific research, supporting researchers across materials science, condensed matter physics, quantum chemistry, and energy research. Our services are designed to deliver accurate, reproducible optimized structures that serve as the foundation for subsequent computational analyses, including band structure calculations, mechanical property simulations, catalytic activity predictions, and defect energy calculations. We focus on addressing the unique needs of academic and industrial researchers, offering flexible, scalable solutions that accommodate systems of all sizes—from small molecules and clusters to large supercells, 2D materials, alloys, and complex interfaces.

Types of Structural Parameter Optimization Services

Atomic Position Relaxation (Fixed-Cell Optimization)

We provide atomic position relaxation services, where lattice parameters (cell shape, volume, and angles) are fixed, and only atomic coordinates are optimized to minimize residual forces. This service is ideal for research scenarios where lattice parameters are already known from experimental data (e.g., XRD, neutron scattering) or literature, such as surface/slab models (where bottom substrate layers are fixed to mimic bulk behavior), molecules and clusters (non-periodic systems with no lattice), and defective systems where the lattice structure remains unchanged. We use robust algorithms (CG, BFGS) to ensure fast convergence, making this service suitable for high-throughput screening of multiple structures (e.g., hundreds of dopant configurations or adsorbate positions).

Variable-Cell Relaxation (VC-Relax)

We offer variable-cell relaxation services, which optimize both atomic coordinates and full lattice parameters (a, b, c, α, β, γ, volume, and shape) to achieve a stress-free, energy-minimal unit cell. This service is the gold standard for research involving bulk crystals with unknown or uncertain lattice parameters, pressure-dependent studies (where external hydrostatic pressure is applied), and phase transition research (tracking lattice changes across different phases). We support both isotropic and anisotropic cell deformation, allowing researchers to study the effect of pressure or temperature on lattice structure.

Constrained Structural Optimization

We provide constrained structural optimization services, allowing researchers to impose custom constraints to mimic real-world experimental conditions or specific research objectives. Our constraints include selective dynamics (locking specific atoms, layers, or groups of atoms), fixed bond lengths/angles (for studying strained molecules or interfaces), symmetry constraints (preserving crystal point groups to reduce computational complexity), and volume-fixed relaxation (optimizing cell shape and atomic positions while keeping volume constant). This service is critical for simulating thin films, embedded defects, ligand-bound biomolecules, and other systems where experimental constraints must be replicated.

Global Structural Optimization

We offer global structural optimization services, designed to identify the global energy minimum of complex systems with rough potential energy surfaces, such as clusters, amorphous materials, 2D material stacking configurations, and multi-component alloys. Unlike local optimization, which converges to the nearest local minimum, global optimization uses a combination of first-principles calculations and advanced algorithms (evolutionary algorithms, basin hopping, ML surrogate models) to explore the entire PES, ensuring the most stable structure is identified.

Optional Service Items

Our SPO services integrate state-of-the-art first-principles computational engines, advanced optimization algorithms, and high-performance computing resources to ensure efficiency and accuracy. We follow a standardized, scientifically rigorous workflow that begins with initial structure preprocessing (cleanup, symmetry analysis, and validation of initial coordinates) and proceeds through iterative optimization, convergence testing, and comprehensive post-optimization validation. Every step is guided by computational materials science experts with years of experience in SPO, ensuring that parameters are optimized for each specific system and research objective. If you are interested in our services and products, please contact us for more information.