Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
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Federated Security for Privacy Preservation of Healthcare Data in Edge-Cloud Environments. [PDF]
Jayaweera R, Agrawal H, Karie NM.
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Balancing Electrons to Break the Activity‐Selectivity Trade‐Off in H2O2 Electrosynthesis
Carrier‐concentration balancing in CuS is achieved by coupling cobalt dopants with cobalt vacancies, converting CuS from p‐ to n‐type to accelerate 2e− ORR while withdrawing excess carriers to optimize *OOH binding for H2O2 desorption. The catalyst reaches 8.14 mol g−1 h−1 with >84% selectivity in 1.0 M KOH and drives robust electro‐Fenton dye ...
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Secure phasing of private genomes in a trusted execution environment with TX-Phase. [PDF]
Dokmai N, Zhu K, Sahinalp SC, Cho H.
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Coplanar Floating-Gate Antiferroelectric Transistor with Multifunctionality for All-in-One Analog Reservoir Computing. [PDF]
Shi Y +7 more
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High-Radix Taylor-Optimized Tone Mapping Processor for Adaptive 4K HDR Video at 30 FPS. [PDF]
Wang X, Lai Z, Chen L, An F.
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Fused ensembles of dynamic-rupture earthquake simulations to accelerate Bayesian inference. [PDF]
Kurapati V +5 more
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Lightweight 3D CNN for MRI Analysis in Alzheimer's Disease: Balancing Accuracy and Efficiency. [PDF]
Cao K +6 more
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Categorical framework for quantum-resistant zero-trust AI security. [PDF]
Cherkaoui I, Clarke C, Horgan J, Dey I.
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FFT Implementation with Fused Floating-Point Operations
IEEE Transactions on Computers, 2012This paper describes two fused floating-point operations and applies them to the implementation of fast Fourier transform (FFT) processors. The fused operations are a two-term dot product and an add-subtract unit. The FFT processors use "butterfly” operations that consist of multiplications, additions, and subtractions of complex valued data.
Earl E. Swartzlander Jr., Hani H. Saleh
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