• Dr. Hamid Reza Seyf

  • THERMAL ENERGY GRID STORAGE USING MULTIJUNCTION PHOTOVOLTAICS

    A Low Cost Battery for Grid Scale Electricity Storage

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  • CORRELATION PERSPECTIVE OF PHONON TRANSPORT IN RANDOM ALLOYS


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  • Concentrated Solar Thermophotovoltaic (CSTPV)

    A potential pathway for high efficiency Concentrated Solar Power

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  • Thermal Transport in Glasses and Amorphous Solids


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  • EFFICIENT BLADES FOR SAVONIUS WIND TURBINES


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  • High Temperature Solar Receiver for High Efficiency Concentrated Solar Power


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  • Phonon Optimized Potentials

    EMPIRICAL INTERATOMIC POTENTIALS FOR PHONON TRANSPORT

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  • THERMAL MANAGMENT OF MICROELECTRONICS

    Heat pipes, Metal foams, Liquid/Air Cooled Heat Sinks

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  • CELLULOSE EVAPORATIVE COOLING PADS

    Low cost, light weight, and compact size cooling pads

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  • MOLECULAR DYNAMICS SIMULATION OF BOILING AND EVAPORATION OF LIQUID THIN FILMS

    The effect of nanostructures on phase change

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  • Nanoencapsulated Phase Change Materials (NEPCM)

    Modeling of heat transfer enhancement using NEPCM

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About Hamid

Hamid is a Lillian Gilbreth Postdoctoral Fellow at Purdue Engineering. He received his Ph.D. in Mechanical Engineering from Georgia Institute of Technology under the supervision of Professor Asegun Henry.  He holds a B.S. degree in Mechanical Engineering from Karaj Azad University, an M.S degree in Mechanical and Aerospace Engineering from the University of Missouri-Columbia, and a second M.S degree in Electrical Engineering from Georgia Tech with a central focus on optoelectronics and microsystems. Hamid’s primary research background is focused on data-driven multiscale/multiphysics modeling and simulation of energy conversion, storage, and transport in solar/thermal/electrochemical energy systems and materials. In particular, his research is centered on manipulating materials at nanoscale by engineering phonon and photon transport, as well as developing innovative system level designs for high efficiency and low cost energy conversion and storage technologies.

Hamid’s postdoctoral work is on (1) developing data-driven thermal saftey envelope for lithium-ion batteries, (2) understanding and designing mesoscale structures of electrodes in batteries, and (3) material design and discovery for solid-state batteries using machine learning. His Ph.D. research focused on understanding phonon transport in random semiconductor alloys and amorphous solids.  He has also worked on system-level design of grid-scale solar/thermal energy conversion and storage such as a thermal energy grid storage using multijunction photovoltaics and a high-temperature liquid metal concentrated solar power plant that utilizes thermophotovoltaic as a power cycle. His past research experience has been in computational fluid dynamics, thermal management of electronics, porous media, heat pipes, and phase change slurry coolants. Prior to attending the University of Missouri-Columbia. Hamid also worked as a thermal engineer in the Automotive Industry Research & Innovation Center of SAIPA and MAPNA Boiler Group. In 2018, Hamid worked with Special Project Group (SPG) at Apple as thermal design engineer intern.

Hamid’s Areas of Expertise

Hamid has research experience in atomistic modeling and simulation, machine learning, electrochemcial energy conversion and storage systems, phonon transport in solids, design and modeling of solid state solar/thermal heat engines, heat and mass transfer, computational fluid dynamics, and thermal management. He is very passionate about furthering his understanding of various optoelectronic and packaging technologies.

Heat Transfer

Novel Energy Storage Concepts

Phonon Transport in Crystalline and Disordered Solids

Solid State Solar/Thermal Energy Conversion

Atomistic Simulation and Modeling

Computational Fluid Dynamics

Photovoltaic and optoelectronics

Recent Research Projects

Projects on Solar Energy and Solid State Energy Conversion, Phonon Transport in Amorphous Materials, Empirical Interatomic Potential Development, Thermal Transport in Alloys, and Grid-Scale Energy Storage using Multijunction Photovoltaics.