Design Tools
For Next Gen
Materials

About us

Nanoacademic builds atomistic and quantum simulation tools to predict the properties of next generation materials and devices. Our software is being used by researchers in public and private institutions around the world to obtain the best modeling data and reduce R&D costs for a broad range of applications.

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Our Solutions

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NanoDCAL

Predicts quantum electronic structure and transport properties in nanoscale devices from first principles.

QTCAD®

QTCAD® is a unique finite-element method (FEM) simulator used to model and predict the performance of solid-state quantum hardware such as quantum-dot and spin-qubit devices.

NanoDCAL+

A newly designed atomistic quantum transport tool with improved performance, scalability, and usability.

RESCU

A powerful DFT/DFPT solver which can simulate physical properties of advanced materials consisting of thousands of atoms.

RESCU+

Our newly designed DFT solver, written in Python and Fortran to achieve better than ever performance, scalability, and usability in your atomistic simulations.

Technical support

Beyond the first line and limited technical support we provide with our tool licenses, we offer additional and advanced technical support for our users including specific training and dedicated technical support, at an hourly rate. Please see terms and conditions of our technical support for more details.

Consultancy services

We provide technical and scientific consultancy services to academic and industry researchers who need advanced modeling support in their R&D projects.

Our Approach

Technology

We help our users be more productive and gain deep intimate knowledge of materials and devices by offering the most coherent and powerful solutions on the market. Our tools are created with HPC in mind and are ready to scale to your needs.

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Productivity

Perform your experiments in silico. Limiting the number of experiments necessary to manufacture and characterize samples saves time, manpower, resources, and money for your organization.

Understanding

Experimental results are often interpreted using simplifying assumptions, which may themselves require experimental validation. Our quantum simulations allow testing hypotheses which may be inaccessible experimentally and avail the full analysis toolbox of modern science.