Chip Industry’s Technical Paper Roundup: Dec 11

Scalable accelerator design; DL for materials discovery; HW fuzzing; polarization monitoring of photonic ICs; Lego-like photonics chip; 2D van der Waals ferroelectrics; stretching diamond for quantum bits; graphene nanoribbon devices.


New technical papers added to Semiconductor Engineering’s library this week.

Technical Paper Research Organizations
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGA University of California Los Angeles
Scaling deep learning for materials discovery Google DeepMind and Google Research
MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors Texas A&M University and Technische Universitat Darmstadt
Engineered scattering elements used as optical test points in photonic integrated circuits University of Rochester
Integrated microwave photonic notch filter using a heterogeneously integrated Brillouin and active-silicon photonic circuit University of Sydney and Australian National University
Domain-dependent strain and stacking in two-dimensional van der Waals ferroelectrics Rice University, MIT, University of Texas at Arlington, Texas A&M University, and Penn State University
Microwave-Based Quantum Control and Coherence Protection of Tin-Vacancy Spin Qubits in a Strain-Tuned Diamond-Membrane Heterostructure University of Chicago, University of Cambridge, Argonne National Lab, and Delft University of Technology
Contact engineering for graphene nanoribbon devices University of Arizona, Swiss Federal Labs for Materials Science and Technology, UC Berkeley, Stanford University, SRM Institute of Science and Technology, Texas A&M University, Lawrence Berkeley National Lab, Max Planck Institute for Polymer Research, and University of Bern

More Reading
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