Green Hydrogen

Green Hydrogen

Hydrogen is not an energy source—it is an energy carrier. While 1 kg of hydrogen delivers nearly 60 miles of range (39.4 kWh), its energy

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Climate Modeling & Forecasting

Climate Modeling & Forecasting

Automatski has redefined the boundaries of climate science with production-grade ODE/PDE solvers capable of solving fully coupled, nonlinear systems in real time. Unlike traditional climate

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Pollution

Pollution

Automatski is pioneering the design of ultra-stable, defect-free 3D microporous zeolites using its 300+ Qubit Quantum Simulator. These advanced materials enable radically more effective capture

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Plastic Pyrolysis

Plastic Pyrolysis

The global plastic waste crisis—particularly from PET-based polymers—demands transformative solutions. At Automatski, we are tackling the complexity of plastic depolymerization using quantum simulation to design

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Superalloys & Molecular Quantum Dynamics

Superalloys & Molecular Quantum Dynamics

Superalloys enable high-performance operation under extreme conditions—critical for aerospace, energy, and advanced manufacturing sectors. Automatski’s molecular quantum dynamics capabilities deliver unprecedented precision in designing next-generation

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Superconductors

Superconductors

Superconductors have the potential to revolutionize energy, computing, and transportation—but their reliance on near-absolute-zero temperatures limits practical deployment. Automatski leverages its advanced 300+ Qubit Quantum

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Bioinformatics

Bioinformatics

Bioinformatics merges biology, computation, and data science to unlock critical insights from genetic and molecular data. From gene discovery to protein prediction, these tasks demand

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Drug Discovery

Drug Discovery

While most rely on approximations to filter existing molecules, Automatski pioneers a new frontier: ab-initio Drug Design. Powered by quantum simulators and annealers, Automatski accurately

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Scheduling

Scheduling

From CPU load balancing to airline timetables, scheduling underpins countless real-world systems. Yet, most commonly used algorithms—like FCFS, Round Robin, and SJF—struggle with scale and

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