Inverse Materials Design
O.I. Malyi Research Group
Advanced Solid-State Physics & Computational Design

Designing the Future of Solid-State Materials

We specialize in inverse materials design, combining solid-state physics and first-principles calculations to discover new functionalities at the atomic scale while reducing reliance on trial and error.

Our Scientific Vision

Our mission is to delve into the intricate world of solid-state materials, to understand their underlying mechanisms, and to master the design of these complex structures.

Over more than a decade we have developed methodology to identify which configurations warrant synthesis for desired properties or functionalities, significantly reducing the reliance on trial-and-error approaches.

Atomic Scale

Intricate comprehension of material properties at the atomic level.

Inverse Design

Relating properties to elemental quantities and configurations.

Data-Driven Methodology

Density Functional Theory (DFT) as a core tool to reveal the true nature of real materials.
Method development tailored to capture unique and complex processes.
Python as the main language for analysis and large dataset management.
Commitment to Open Science by sharing data and code whenever possible.

Research Focus

We bridge the gap between theoretical physics and material synthesis.

First-Principles Calculations

Advanced DFT techniques to obtain a deep understanding of material properties at the atomic scale, building robust physical insight.

Inverse Materials Design

Starting from the desired functionality and working backwards to find atomic configurations that realise it.

Code and Tool Development

Custom Python workflows and models designed to capture challenging processes beyond standard tools.

10+
Years of Research
DFT
Core Methodology
Open
Science & Data
Python
Driven Workflows
Principal Investigator

Dr. Oleksandr Malyi

Leading the Inverse Materials Design group, Dr. Malyi focuses on understanding the deep physics of materials to steer experimental research. His work combines rigorous theoretical physics with practical computational approaches to push the boundaries of material science.