Milad Abolhasani

Assistant Professor

North Carolina State University

United States

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Milad Abolhasani is an Assistant Professor at North Carolina State University in the United States. His research focuses on flow chemistry, self-driving laboratories, and the application of automation and artificial intelligence in chemical synthesis. He has contributed to various publications, exploring topics such as photo-induced bandgap engineering of quantum dots and the optimization of 3D-printed flow-reactor geometries.

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2022

Collaborators (4)

Kristofer G. Reyes

University at Buffalo

UNITED STATES

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Kirill Efimenko

Associate Professor

North Carolina State University

UNITED STATES

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Aram Amassian

SAUDI ARABIA

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Felix N. Castellano

North Carolina State University

UNITED STATES

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Milad Abolhasani

Research Interests

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About

Articles (23)

The role of flow chemistry in self-driving labs

Engineering principles for self-driving laboratories

Photo‐Induced Bandgap Engineering of Metal Halide Perovskite Quantum Dots In Flow

Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties

Synthesis of Acid Anhydrides via the Thermal or Photochemical Catalytic Hydrocarbonylation of Alkenes

Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories

Machine-learning optimization of 3D-printed flow-reactor geometry

Robotic synthesis decoded through phase diagram mastery

Autonomous reaction Pareto-front mapping with a self-driving catalysis laboratory

Performance metrics to unleash the power of self-driving labs in chemistry and materials science

Digital Pareto-front mapping of homogeneous catalytic reactions

Facile Synthesis of Cu-Doped TiO2 Particles for Accelerated Visible Light-Driven Antiviral and Antibacterial Inactivation

Reproducibility in automated chemistry laboratories using computer science abstractions

Continuous Ligand-Free Catalysis Using a Hybrid Polymer Network Support

Accelerated Photostability Studies of Colloidal Quantum Dots

Accelerated Photostability Studies of Colloidal Quantum Dots

Research Acceleration in Self‐Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery

Research Acceleration in Self‐Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery

AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning

Accelerated Multi‐Stage Synthesis of Indium Phosphide Quantum Dots in Modular Flow Reactors

Role of AI in experimental materials science

The rise of self-driving labs in chemical and materials sciences

Intensified Hydrogenation in Flow Using a Poly(β-cyclodextrin) Network-Supported Catalyst

Collaborators (4)

Kristofer G. Reyes

Kirill Efimenko

Aram Amassian

Felix N. Castellano

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