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Donhee Ham

Researcher at Harvard University

Publications -  137
Citations -  6173

Donhee Ham is an academic researcher from Harvard University. The author has contributed to research in topics: CMOS & Phase noise. The author has an hindex of 36, co-authored 127 publications receiving 5300 citations. Previous affiliations of Donhee Ham include Samsung & California Institute of Technology.

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Concepts and methods in optimization of integrated LC VCOs

TL;DR: In this article, a design strategy centered around an inductance selection scheme is executed using a practical graphical optimization method to optimize phase noise subject to design constraints such as power dissipation, tank amplitude, tuning range, startup condition, and diameters of spiral inductors.
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Chip–NMR biosensor for detection and molecular analysis of cells

TL;DR: The capability of the DMR system is shown by using it to detect bacteria with high sensitivity, identify small numbers of cells and analyze them on a molecular level in real time, and measure a series of protein biomarkers in parallel.
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Stretchable Microfluidic Radiofrequency Antennas

TL;DR: A new method for fabricating stretchable radiofrequency antennas using a microfl uidic structure made of two types of elastomers with different stiffness with the potential to improve the stretchability and mechanical stability of the antennas.
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Nanotechnology: High-speed integrated nanowire circuits

TL;DR: The use of low-temperature processes to integrate high-performance multi-nanowire transistors into logical inverters and fast ring oscillators on glass substrates is presented, potentially enabling powerful electronics to permeate all aspects of modern life.
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Vertical MoS2 Double-Layer Memristor with Electrochemical Metallization as an Atomic-Scale Synapse with Switching Thresholds Approaching 100 mV

TL;DR: A vertical Memristor that sandwiches two MoS2 monolayers between an active Cu top electrode and an inert Au bottom electrode achieves consistent bipolar and analogue switching, and thus exhibits the synapse-like learning behavior such as the spike-timing dependent plasticity (STDP), the very first STDP demonstration among all 2D-material-based vertical memristors.