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WHO WE ARE

Dr Teofilo Cobos

Nanosystems Advisory builds a GPU-accelerated defect-modelling engine for semiconductor materials combining machine-learning potentials with first-principles DFT to produce formation energies, charge-transition levels, and a structured defect database.

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Nanosystems Advisory is a member of the NVIDIA Inception program, giving us access to GPU-accelerated compute, technical resources and a global network as we scale the defect-modelling engine to new materials.

Semiconductor Defect Modelling Team member portrait

Background

Teofilo holds a multidisciplinary academic background spanning chemistry, materials science, and physics: an MSci in Chemistry from Queen Mary University of London, an MRes in Molecular Modelling and Materials Science from UCL, and a PhD in Physics from UCL focused on molecular modelling of degradation processes in microelectronic and resistive-switching devices.

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His research examined defect-driven mechanisms in materials including SiO₂ and Ta₂O₅, with applications spanning quantum computing and neuromorphic systems, the same defect physics that now underpins the engine.

The Engine

The core platform pairs GPU-accelerated machine-learning potentials with hybrid-functional DFT validation, engineered and maintained in-house with reproducible, version-controlled workflows, not outsourced or assembled from third-party tools.

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It has been validated across five materials spanning nitride, oxide, arsenide, antimonide and phosphide chemistries, with every calculation feeding a growing, structured defect database that a device team, a fab, or an investor can query directly.

Arrow pointing up representing growth in semiconductor defect modelling.
Zahra Sarwar
Head of Strategy

zahsarwa@nanosystemsadvisory.com

Leads commercial strategy, investor engagement, and go-to-market for the engine and database.

Semiconductor Defect Modelling Engineer logo symbol
Jonathan Benites
Lead Systems Engineer

jonbenit@nanosystemsadvisory.com

Builds and maintains the compute pipeline and infrastructure across ARCHER2, Isambard-AI, and the MMM Hub.

Semiconductor defect modelling team icon showing a grid of dots.
Dr Teofilo Cobos
Founder & Lead Scientist

teocobos@nanosystemsadvisory.com

Builds and validates the defect-modelling engine end-to-end, from structure setup through to charge-transition-level analysis.

team

Built and operated by a working technical team

Applying atomistic modelling and simulation to real-world semiconductor and materials challenges, in collaboration with:

advisory board

Guiding our technical and commercial direction

Specialists across quantum materials, semiconductor process engineering, defect physics, and device design.

Semiconductor defect modelling team grid icon with white center dot.
Semiconductor defect modelling team grid icon with white center dot.
Quantum Materials Simulation Advisor
Microsoft
Semiconductor Process Engineering Advisor
Samsung

Specialist in materials simulation for quantum computing, spanning device design through to fabrication.

Specialist in advanced manufacturing processes, focusing on CMP and cleanroom fabrication for memory and logic chips.

research & industry experience

Collaborations across academia and industry

Applying atomistic modelling and simulation to real-world semiconductor and materials challenges, in collaboration with:

Synopsys
Nanolayers Research Computing
Applied Materials
IITB
UCL
Sandia National Labs, US DoE
M2D Solutions
compute infrastructure

Frontier-level compute, matched to the workload

Tier 1 · CPU
ARCHER2 (and successor)

The CPU-architecture workhorse for hybrid-functional, charged-defect DFT — the calculations behind our highest-stakes client claims.

Tier 1 · GPU
Isambard-AI

GPU-native compute for ML-accelerated defect screening and high-throughput triage.

Tier 2
MMM Hub (Young, and other Tier 2 systems)

Day-to-day project compute and methods development, reducing dependency on Tier 1 allocation timing.

publications

Device-reliability-focused theoretical studies

A mechanism of defect creation in amorphous Ta₂O₅

Defect study of amorphous Ta₂O₅ for neuromorphic ReRAM switching applications.

Atomistic Simulation of Defect Processes in the Reaction-Diffusion-Drift Model of NBTI

DFT simulation study of NBTI processes in amorphous silicon dioxide.

Difference in Structure and Electronic Properties of Oxygen Vacancies in α-Quartz and α-Cristobalite Phases of SiO₂

Comparative study of oxygen vacancies in two phases of crystalline silicon dioxide.

affiliations & leadership

Professional and scientific community

Teofilo is an Associate Member of the Royal Society of Chemistry (since 2019) and a Member of the Institute of Physics (since 2021), and holds BCS certification in business analysis. He is also active on the Early Career Researchers Committee for the Thomas Young Centre, the UK's largest network for the simulation of materials and molecules.

founder's statement

“Nanosystems Advisory was founded to close the gap between rigorous science and the decisions needed to build scalable, investable companies, the same defect physics I studied for my PhD now runs as an engine any semiconductor team can put to work.”

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