RLE Recent Publications
Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging
James Noraky, Vivienne Sze doi: 10.1109/ICIP.2017.8296655 Abstract: Depth sensing is used in a variety of applications that range from augmented reality to robotics. One way to measure depth is with a time-of-flight (TOF) camera, which obtains depth by emitting light…
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
Yu-Hsin Chen, Tien-Ju Yang, Joel Emer, and Vivienne Sze doi: arXiv:1807.07928 Abstract: The design of DNNs has increasingly focused on reducing the computational complexity in addition to improving accuracy. While emerging DNNs tend to have fewer weights and…
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze doi: arXiv:1903.03273 Abstract: Depth sensing is a critical function for robotic tasks such as localization, mapping and obstacle detection. There has been a significant and growing interest in depth…
FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping
Zhengdong Zhang, Trevor Henderson, Vivienne Sze, Sertac Karaman Abstract: Information-based mapping algorithms are critical to robot exploration tasks in several applications ranging from disaster response to space exploration. Unfortunately, most existing…
Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications
Rumen Dangovski, Li Jing, Preslav Nakov, Mićo Tatalović and Marin Soljačić doi: 10.1162/tacl_a_00258 Abstract: Stacking long short-term memory (LSTM) cells or gated recurrent units (GRUs) as part of a recurrent neural network (RNN) has become a standard approach to…
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
Amr Suleiman, Member, Zhengdong Zhang, Student Member, Luca Carlone, Sertac Karaman, Member, and Vivienne Sze doi: 10.1109/JSSC.2018.2886342 Abstract: This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO) that enables…
The Effect of Surface Reconstruction on the Oxygen Reduction Reaction Properties of LaMnO3
Reinis Ignatans, Giuseppe Mallia, Ehsan A. Ahmad, Liam Spillane, Kelsey A. Stoerzinger, Yang Shao-Horn, Nicholas M. Harrison, and Vasiliki Tileli DOI: 10.1021/acs.jpcc.9b00458 Abstract: Perovskites have been widely studied for electrocatalysis due to the exceptional…
Indistinguishable single-mode photons from spectrally engineered biphotons
Changchen Chen, Jane E. Heyes, Kyung-Han Hong, Murphy Yuezhen Niu, Adriana E. Lita, Thomas Gerrits, Sae Woo Nam, Jeffrey H. Shapiro, and Franco N. C. Wong DOI: 10.1364/OE.27.011626 Abstract: We use pulsed spontaneous parametric down-conversion in KTiOPO 4 4, with a…
SysML: The New Frontier of Machine Learning Systems
Alexander Ratner, Dan Alistarh, Gustavo Alonso, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor,…
NILM Dashboard: A Power System Monitor for Electromechanical Equipment Diagnostics
Andre Aboulian, Daisy H. Green , Jennifer F. Switzer , Thomas J. Kane, Gregory V. Bredariol, Peter Lindahl, John S. Donnal, and Steven B. Leeb DOI: 10.1109/TII.2018.2843770 Abstract: Nonintrusive load monitoring (NILM) uses electrical measurements taken at a…
Intercalation-conversion hybrid cathodes enabling Li–S full-cell architectures with jointly superior gravimetric and volumetric energy densities
Weijiang Xue, Zhe Shi, Liumin Suo, Chao Wang, Ziqiang Wang, Haozhe Wang, Kang Pyo So, Andrea Maurano, Daiwei Yu, Yuming Chen, Long Qie, Zhi Zhu, Guiyin Xu, Jing Kong & Ju Li DOI: /10.1038/s41560-019‑0351‑0 Abstract: A common practise in the research of Li–S…
Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion
Yi-Xiang Liu, Ashok Ajoy, and Paola Cappellaro DOI: 10.1103/PhysRevLett.122.100501 Abstract: Sensing static magnetic fields with high sensitivity and spatial resolution is critical to many applications in fundamental physics, bioimaging, and materials science. Even…
Paraffin-enabled graphene transfer
Wei Sun Leong, Haozhe Wang, Jingjie Yeo, Francisco J. Martin-Martinez, Ahmad Zubair, Pin-Chun Shen, Yunwei Mao, Tomas Palacios, Markus J. Buehler, Jin-Yong Hong, & Jing Kong DOI: 10.1038/s41467-019–08813‑x Abstract: The performance and reliability of large-area…
Uncertainty-Aware Computational Tools for Power Distribution Networks Including Electrical Vehicle Charging and Load Profiles
Giambattista Gruosso, Giancarlo Storti Gajani, Zheng Zhang, Luca Daniel and Paolo Maffezzoni DOI: 10.1109/ACCESS.2019.2891699 Abstract: As new services and business models are being associated with the power distribution network, it becomes of great importance to…
Quantum low probability of intercept
Jeffrey H. Shapiro, Don M. Boroson, P. Ben Dixon, Matthew E. Grein, and Scott A. Hamilton DOI:10.1364/JOSAB.36.000B41 Abstract: Conventional cryptography—such as the Rivest–Shamir–Adleman public-key infrastructure—may be rendered insecure by the ever-increasing…
Gaussian Universal Features, Canonical Correlations, and Common Information
Shao-Lun Huang, Gregory W. Wornell and Lizhong Zheng DOI: 10.1109/ITW.2018.8613343 Abstract: We address the problem of optimal feature selection for a Gaussian vector pair in the weak dependence regime, when the inference task is not known in advance. In particular,…
Lattice Strain Causes Non-Radiative Losses in Halide Perovskites
Timothy William Jones, Anna Osherov, Mejd Alsari, Melany Sponseller, Ben C Duck, Young-Kwang Jung, Charles Settens, Farnaz Niroui, Roberto Brenes, Camelia Stan, Yao Li, Mojtaba Abdi-Jalebi, Nobumichi Tamura, J. Emyr Macdonald, Manfred Burghammer, Richard…
Thermal radiation control from hot graphene electrons coupled to a photonic crystal nanocavity
Ren-Jye Shiue, Yuanda Gao, Cheng Tan, Cheng Peng, Jiabao Zheng, Dmitri K. Efetov, Young Duck Kim, James Hone2 & Dirk Englund doi:10.1038/s41467-018–08047‑3 Abstract: Controlling thermal radiation is central in a range of applications including sensing, energy…
Coherent control of a hybrid superconducting circuit made with graphene-based van der Waals heterostructures
Joel I‑Jan Wang, Daniel Rodan-Legrain, Landry Bretheau, Daniel L. Campbell, Bharath Kannan, David Kim, Morten Kjaergaard, Philip Krantz, Gabriel O. Samach, Fei Yan, Jonilyn L. Yoder, Kenji Watanabe, Takashi Taniguchi, Terry P. Orlando, Simon Gustavsson, Pablo…
Optical coherence of diamond nitrogen-vacancy centers formed by ion implantation and annealing
S. B. van Dam, M. Walsh,. Degen, E. Bersin, S. L. Mouradian, A. Galiullin,M. Ruf, M. IJspeert, T. H. Taminiau, R. Hanson, and D. R. Englund DOI: arXiv:1812.11523v1 Abstract: The advancement of quantum optical science and technology with solid-state emitters such as…
Quantum approximate optimization is computationally universal
Seth Lloyd Departments of Mechanical Engineering and Physics Massachusetts Institute of Technology Xanadu DOI: arXiv:1812.11075v1 Abstract: The quantum approximate optimization algorithm (QAOA) applies two Hamiltonians to a quantum system in alternation. The original…
CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks
Avishek Biswas and Anantha P. Chandrakasan DOI: 10.1109/JSSC.2018.2880918 Abstract: This paper presents an energy-efficient static random access memory (SRAM) with embedded dot-product computation capability, for binary-weight convolutional neural networks. A 10T…
Measuring thickness in thin NbN films for superconducting devices
O Medeiros1, M Colangelo, I Charaev and K Berggren DOI: arXiv:1812.05559v1 Abstract: We present the use of a commercially available fixed-angle multiwavelength ellipsometer for quickly measuring the thickness of NbN thin films for the fabrication and performance…
Emergent prethermalization signatures in out-of-time ordered correlations
Ken Xuan Wei, ∗ Pai Peng (彭湃), Oles Shtanko, Iman Marvian, Seth Lloyd, Chandrasekhar Ramanathan, and Paola Cappellaro DOI: arXiv:1812.04776v1 Abstract: How a many-body quantum system thermalizes –or fails to do so– under its own interaction is a fundamental yet…
Structure-function-guided exploration of the antimicrobial peptide polybia-CP identifies activity determinants and generates synthetic therapeutic candidates
Marcelo D. T. Torres, Cibele N. Pedron, Yasutomi Higashikuni, Robin M. Kramer, Marlon H. Cardoso, Karen G. N. Oshiro, Octávio L. Franco, Pedro I. Silva Junior, Fernanda D. Silva, Vani X. Oliveira Junior, Timothy K. Lu & Cesar de la Fuente-Nunez DOI:…
Characterizing Percolative Materials by Straining
Heming Yao, Marek Hempel, Ya-Ping Hsieh, Jing Kong, and Mario Hofmann DOI: 10.1039/C8NR09120J Abstract: Carrier transport in a wide range of nanomaterial assemblies proceeds by percolation through discontinuous networks of constituents. Improving percolative…
Passive directional sub-ambient daytime radiative cooling
Bikram Bhatia, Arny Leroy, Yichen Shen, Lin Zhao, Melissa Gianello, Duanhui Li, Tian Gu, Juejun Hu, Marin Soljačić & Evelyn N. Wang DOI: 10.1038/s41467-018–07293‑9 Abstract: Demonstrations of passive daytime radiative cooling have primarily relied on complex and…
Microfluidics in structured multimaterial fibers
Rodger Yuan, Jaemyon Lee, Hao-Wei Su, Etgar Levy, Tural Khudiyev, Joel Voldman, and Yoel Fink doi.org/10.1073/pnas.1809459115 Abstract: Traditional fabrication techniques for microfluidic devices utilize a planar chip format that possesses limited control over the…
Optically-regulated thermal energy storage in diverse organic phase-change materials
Grace G. D. Han, Joshua H. Deru, Eugene N. Cho and Jeffrey C. Grossman DOI: 10.1039/c8cc05919e Abstract: Thermal energy storage and release in aliphatic phase-change materials are actively controlled by adding azobenzene-based photo-switches. UV activation of the…
GAZELLE: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan arXiv:1801.05507v1 Abstract: The growing popularity of cloud-based machine learning raises a natural question about the privacy guarantees that can be provided in such a setting. Our work tackles this problem…
Diode fibres for fabric-based optical communications
Michael Rein, Valentine Dominique Favrod, Chong Hou, Tural Khudiyev, Alexander Stolyarov, Jason Cox, Chia-Chun Chung, Chhea Chhav, Marty Ellis, John Joannopoulos2 & Yoel Fink DOI:10.1038/s41586- 018‑0390‑x Abstract: Semiconductor diodes are basic building blocks…
Transmissive silicon photonic dichroic filters with spectrally selective waveguides
Emir Salih Magden, Nanxi Li, Manan Raval, Christopher V. Poulton, Alfonso Ruocco, Neetesh Singh, Diedrik Vermeulen, Erich P. Ippen, Leslie A. Kolodziejski& Michael R. Watts DOI: 10.1038/s41467-018–05287‑1 Abstract: Many optical systems require broadband filters…
DISC-FETs: Dual Independent Stacked Channel Field-Effect Transistors
Pritpal S. Kanhaiya, Gage Hills, Dimitri A. Antoniadis, and Max M. Shulaker DOI: 10.1109/LED.2018.2851191 Abstract: We experimentally demonstrate a three-dimensional (3D) field-effect transistor (FET) architecture leveraging emerging nanomaterials: Dual Independent…
Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze [PDF] Abstract: This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO) that enables autonomous navigation of miniaturized robots (e.g., nano drones), and…
Tuning mobility and stability of lithium ion conductors based on lattice dynamics
Sokseiha Muy, John C. Bachman, Livia Giordano, Hao-Hsun Chang, Douglas L. Abernathy, Dipanshu Bansal, Olivier Delaire, Satoshi Hori, Ryoji Kanno, Filippo Maglia, Saskia Lupart, Peter Lamph and Yang Shao-Horn DOI: 10.1039/c7ee03364h Abstract: Lithium ion conductivity…
Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
Collin D. Edington, Wen Li Kelly Chen, Emily Geishecker, Timothy Kassis, Luis R. Soenksen, Brij M. Bhushan, Duncan Freake, Jared Kirschner, Christian Maass , Nikolaos Tsamandouras, Jorge Valdez, Christi D. Cook, Tom Parent, Stephen Snyder, Jiajie Yu, Emily Suter,…
Metropolitan quantum key distribution with silicon photonics
Darius Bunandar, Anthony Lentine, Catherine Lee, Hong Cai, Christopher M. Long, Nicholas Boynton, Nicholas Martinez, Christopher DeRose, Changchen Chen, Matthew Grein, Douglas Trotter, Andrew Starbuck, Andrew Pomerene, Scott Hamilton, Franco N. C. Wong, Ryan Camacho,…
Multi-layer integrated photonics from the ultraviolet to the infrared
Cheryl Sorace-Agaskar, Suraj Bramhavar, Dave Kharas, William Loh, Paul W. Juodawlkis, John Chiaverini, Jeremy M. Sage doi: 10.1117/12.2288411 Abstract: We demonstrate a scalable multi-layer integrated photonics platform that operates over a multi-octave wavelength…
Distance scaling of electric-field noise in a surface-electrode ion trap
J. A. Sedlacek, A. Greene, J. Stuart, R. McConnell, C. D. Bruzewicz, J. M. Sage, and J. Chiaverini DOI:https://doi.org/10.1103/PhysRevA.97.020302 Abstract: We investigate anomalous ion-motional heating, a limitation to multiqubit quantum-logic gate fidelity in…
Access provided by Massachusetts Institute of Technology Altmetric: 176Citations: 1More detail Article SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations
Shinhyun Choi1, Scott H. Tan, Zefan Li, Yunjo Kim, Chanyeol Choi, Pai-Yu Chen, Hanwool Yeon, Shimeng Yu and Jeehwan Kim doi:10.1038/s41563-017‑0001‑5 Abstract: Although several types of architecture combining memory cells and transistors have been used to demonstrate…
Quantum logic using correlated one-dimensional quantum walks
Yoav Lahini1, Gregory R. Steinbrecher, Adam D. Bookatz and Dirk Englund doi:10.1038/s41534-017‑0050‑2 Abstract: Quantum Walks are unitary processes describing the evolution of an initially localized wavefunction on a lattice potential. The complexity of the dynamics…
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
V. Sze, Y.-H. Chen, T.-J. Yang, J. Emer DOI: 10.1109/JPROC.2017.2761740 Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver…
Low Power Depth Estimation for Time-of-Flight Imaging
James Noraky, Vivienne Sze Low Power Depth Estimation for Time-of-Flight Imaging Abstract: Depth sensing is used in a variety of applications that range from augmented reality to robotics. One way to measure depth is with a time-of-flight (TOF) camera, which obtains…
Tunable and high-purity room temperature single-photon emission from atomic defects in hexagonal boron nitride
Gabriele Grosso, Hyowon Moon, Benjamin Lienhard, Sajid Ali, Dmitri K. Efetov, Marco M. Furchi, Pablo Jarillo-Herrero, Michael J. Ford, Igor Aharonovich & Dirk Englund DOI: 10.1038/s41467-017–00810‑2 Abstract: Two-dimensional van der Waals materials have emerged as…
Graphene-Based Josephson-Junction Single-Photon Detector
Evan D. Walsh, Dmitri K. Efetov, Gil-Ho Lee, Mikkel Heuck, Jesse Crossno, Thomas A. Ohki, Philip Kim, Dirk Englund, and Kin Chung Fong DOI: 10.1103/PhysRevApplied.8.024022 Abstract: We propose to use graphene-based Josephson junctions (GJJs) to detect single photons…
Speed Limit for Triplet-Exciton Transfer in Solid-State PbS Nanocrystal-Sensitized Photon Upconversion
Lea Nienhaus, Mengfei Wu, Nadav Geva, James J. Shepherd, Mark W. B. Wilson, Vladimir Bulović, Troy Van Voorhis, Marc A. Baldo, and Moungi G. Bawendi DOI: 10.1021/acsnano.7b02024 Abstract: Hybrid interfaces combining inorganic and organic materials underpin the…
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD
Kim Batselier, Wenjian Yu, Luca Daniel, and Ngai Wong DOI:arXiv:1707.07803v1 Abstract: We propose a new algorithm for the computation of a singular value decomposition (SVD) low-rank approximation of a matrix in the Matrix Product Operator (MPO) format, also called…
Quantum transport simulations in a programmable nanophotonic processor
Nicholas C. Harris, Gregory R. Steinbrecher, Mihika Prabhu, Yoav Lahini, Jacob Mower, Darius Bunandar, Changchen Chen, Franco N. C. Wong, Tom Baehr-Jones, Michael Hochberg, Seth Lloyd and Dirk Englund DOI: 10.1038/NPHOTON.2017.95 Abstract: Environmental noise and…
High-energy mid-infrared sub-cycle pulse synthesis from a parametric amplifier
Houkun Liang, Peter Krogen1, Zhou Wang, Hyunwook Park, Tobias Kroh, Kevin Zawilski, Peter Schunemann, Jeffrey Moses, Louis F. DiMauro, Franz X. Kärtner, and Kyung-Han Hong DOI: 10.1038/s41467-017–00193‑4 Abstract: High-energy phase-stable sub-cycle mid-infrared pulses…
Nanofluidic Crystal: Nanofluidics in Close-Packed Nanoparticle Array
Wei Ouyang, Jongyoon Han, and Wei Wang DOI: 10.1039/C7LC00588A Abstract: With various promising applications demonstrated, nanofluidics has been of broad research interest in the past decade. As nanofluidics matures from proof of concept towards practical…
Irreversible Thermodynamic Bound for the Efficiency of Light-Emitting Diodes
Jin Xue, Zheng Li, and Rajeev J. Ram DOI:10.1103/PhysRevApplied.8.014017 Abstract: A thermodynamic model for light-emitting diodes (LEDs) is developed by considering energy and entropy flows in the system. Thermodynamic constraints have previously been considered…
Monolithically-integrated distributed feedback laser compatible with CMOS processing
Emir Salih Magden, Nanxi Li, Purnawirman, Jonathan D. B. Bradley, Neetesh Singh, Alfonso Ruocco, Gale S. Pietrich, Gerald Leake, Douglas D. Coolbaugh, Erich P. Ippen, Michael R. Watts, and Leslie A. Kolodziejski DOI:10.1364/OE.25.018058 Abstract: An optically-pumped,…
Hamiltonian Simulation by Uniform Spectral Amplification
Guang Hao Low , Isaac L. Chuang DOI:arXiv:1707.05391v1 Abstract: The exponential speedups promised by Hamiltonian simulation on a quantum computer depends crucially on structure in both the Hamiltonian Hˆ , and the quantum circuit Uˆ that encodes its description. In…
Hamiltonian Simulation by Uniform Spectral Amplification
Guang Hao Low , Isaac L. Chuang DOI:arXiv:1707.05391v1 Abstract: The exponential speedups promised by Hamiltonian simulation on a quantum computer depends crucially on structure in both the Hamiltonian Hˆ , and the quantum circuit Uˆ that encodes its description. In…
Hamiltonian Simulation by Uniform Spectral Amplification
Guang Hao Low , Isaac L. Chuang DOI:arXiv:1707.05391v1 Abstract: The exponential speedups promised by Hamiltonian simulation on a quantum computer depends crucially on structure in both the Hamiltonian Hˆ , and the quantum circuit Uˆ that encodes its description. In…
Hamiltonian Simulation by Uniform Spectral Amplification
Guang Hao Low , Isaac L. Chuang DOI:arXiv:1707.05391v1 Abstract: The exponential speedups promised by Hamiltonian simulation on a quantum computer depends crucially on structure in both the Hamiltonian Hˆ , and the quantum circuit Uˆ that encodes its description. In…
Hamiltonian Simulation by Uniform Spectral Amplification
Guang Hao Low , Isaac L. Chuang DOI:arXiv:1707.05391v1 Abstract: The exponential speedups promised by Hamiltonian simulation on a quantum computer depends crucially on structure in both the Hamiltonian Hˆ , and the quantum circuit Uˆ that encodes its description. In…
Hamiltonian Simulation by Uniform Spectral Amplification
Guang Hao Low , Isaac L. Chuang DOI:arXiv:1707.05391v1 Abstract: The exponential speedups promised by Hamiltonian simulation on a quantum computer depends crucially on structure in both the Hamiltonian Hˆ , and the quantum circuit Uˆ that encodes its description. In…
The role of iodide on the formation of lithium hydroxide in lithium-oxygen batteries
M. Tuodziecki, G. M. Leverick, C. V. Amanchukwu, Y. Katayama, D. G. Kwabi, F. Bardé, P. T. Hammond and Y. Shao-Horn DOI: 10.1039/C7EE00954B Abstract: Lithium iodide has been studied extensively as a redox-mediator to reduce the charging overpotential of Li-oxygen…
The role of iodide on the formation of lithium hydroxide in lithium-oxygen batteries
M. Tuodziecki, G. M. Leverick, C. V. Amanchukwu, Y. Katayama, D. G. Kwabi, F. Bardé, P. T. Hammond and Y. Shao-Horn DOI: 10.1039/C7EE00954B Abstract: Lithium iodide has been studied extensively as a redox-mediator to reduce the charging overpotential of Li-oxygen…
The role of iodide on the formation of lithium hydroxide in lithium-oxygen batteries
M. Tuodziecki, G. M. Leverick, C. V. Amanchukwu, Y. Katayama, D. G. Kwabi, F. Bardé, P. T. Hammond and Y. Shao-Horn DOI: 10.1039/C7EE00954B Abstract: Lithium iodide has been studied extensively as a redox-mediator to reduce the charging overpotential of Li-oxygen…
The role of iodide on the formation of lithium hydroxide in lithium-oxygen batteries
M. Tuodziecki, G. M. Leverick, C. V. Amanchukwu, Y. Katayama, D. G. Kwabi, F. Bardé, P. T. Hammond and Y. Shao-Horn DOI: 10.1039/C7EE00954B Abstract: Lithium iodide has been studied extensively as a redox-mediator to reduce the charging overpotential of Li-oxygen…
The role of iodide on the formation of lithium hydroxide in lithium-oxygen batteries
M. Tuodziecki, G. M. Leverick, C. V. Amanchukwu, Y. Katayama, D. G. Kwabi, F. Bardé, P. T. Hammond and Y. Shao-Horn DOI: 10.1039/C7EE00954B Abstract: Lithium iodide has been studied extensively as a redox-mediator to reduce the charging overpotential of Li-oxygen…
The role of iodide on the formation of lithium hydroxide in lithium-oxygen batteries
M. Tuodziecki, G. M. Leverick, C. V. Amanchukwu, Y. Katayama, D. G. Kwabi, F. Bardé, P. T. Hammond and Y. Shao-Horn DOI: 10.1039/C7EE00954B Abstract: Lithium iodide has been studied extensively as a redox-mediator to reduce the charging overpotential of Li-oxygen…
Whispering gallery germanium-on-silicon photodetector
Zhan Su, Ehsan Shah Hosseini, Erman Timurdogan, Jie Sun, Michele Moresco, Gerald Leake, Thomas N. Adam, Douglas D. Coolbaugh, and Michael R. Watts doi: 10.1364/OL.42.002878 Abstract: We design and demonstrate, to the best of our knowledge, the first whispering gallery…
Principal Inertia Components and Applications
Flavio du Pin Calmon, Ali Makhdoumi, Muriel Médard, Mayank Varia, Mark Christiansen, and Ken R. Duffy doi: 10.1109/TIT.2017.2700857 Abstract: We explore properties and applications of the principal inertia components (PICs) between two discrete random variables X and…
Long-Lived Ultracold Molecules with Electric and Magnetic Dipole Moments
Timur M. Rvachov, Hyungmok Son, Ariel T. Sommer, Sepehr Ebadi, Juliana J. Park, Martin W. Zwierlein, Wolfgang Ketterle, and Alan O. Jamison doi: arXiv:1707.03925v1 Abstract: We create fermionic dipolar 23Na6Li molecules in their triplet ground state from an ultracold…
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze DOI: arXiv:1611.05128v4 Abstract: Deep convolutional neural networks (CNNs) are indispensable to state-of-the-art computer vision algorithms. However, they are still rarely deployed on battery-powered mobile devices, such as…
Three-dimensional integration of nanotechnologies for computing and data storage on a single chip
Max M. Shulaker, Gage Hills , Rebecca S. Park , Roger T. Howe , Krishna Saraswat , H.-S. Philip Wong & Subhasish Mitra doi:10.1038/nature22994 Abstract: The computing demands of future data-intensive applications will greatly exceed the capabilities of current…
Quantum transport simulations in a programmable nanophotonic processor
Nicholas C. Harris, Gregory R. Steinbrecher, Mihika Prabhu, Yoav Lahini, Jacob Mower, Darius Bunandar, Changchen Chen, Franco N. C. Wong, Tom Baehr-Jones, Michael Hochberg, Seth Lloyd and Dirk Englund doi:10.1038/nphoton.2017.95 Abstract: Environmental noise and…
Self-Similar Nanocavity Design with Ultrasmall Mode Volume for Single-Photon Nonlinearities
Hyeongrak Choi, Mikkel Heuck, and Dirk Englund DOI: 10.1103/PhysRevLett.118.223605 Abstract: We propose a photonic crystal nanocavity design with self-similar electromagnetic boundary conditions, achieving ultrasmall mode volume (Veff). The electric energy density of…
Deep learning with coherent nanophotonic circuits
Yichen Shen, Nicholas C. Harris, Scott Skirlo, Mihika Prabhu , Tom Baehr-Jones, Michael Hochberg, Xin Sun, Shijie Zhao, Hugo Larochelle, Dirk Englund and Marin Soljačić DOI: 10.1038/NPHOTON.2017.93 Abstract: Artificial neural networks are computational network models…
Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators
Yu-Hsin Chen, Joel Emer, Vivienne Sze DOI: 10.1109/MM.2017.54 Abstract: The authors demonstrate the key role dataflows play in the optimization of energy efficiency for deep neural network (DNN) accelerators. By introducing a systematic approach to analyze the problem…
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos
Zhengdong Zhang, Vivienne Sze DOI: 10.1109/CVPRW.2017.138 Abstract: State-of-the-art super-resolution (SR) algorithms require significant computational resources to achieve real-time throughput (e.g., 60Mpixels/s for HD video). This paper in-troduces FAST (Free…
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach
Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman RSS 2017 Abstract: Autonomous navigation of miniaturized robots (e.g., nano/pico aerial vehicles) is currently a grand challenge for robotics research, due to the need for processing a large…
Scalable focused ion beam creation of nearly lifetime-limited single quantum emitters in diamond nanostructures
Tim Schroder, Matthew E. Trusheim, Michael Walsh, Luozhou Li, Jiabao Zheng, Marco Schukraft, Alp Sipahigil, Ruffin E. Evans, Denis D. Sukachev, Christian T. Nguyen, Jose L. Pacheco, Ryan M. Camacho, Edward S. Bielejec, Mikhail D. Lukin & Dirk Englund…
Nanofluidic device for continuous multiparameter quality assurance of biologics
Sung Hee Ko, Divya Chandra, Wei Ouyang , Taehong Kwon , Pankaj Karande, and Jongyoon Han DOI: 10.1038/NNANO.2017.74 Abstract: Process analytical technology (PAT) is critical for the manufacture of high-quality biologics as it enables continuous, real-time and…
Remote epitaxy through graphene enables two-dimensional material-based layer transfer
Yunjo Kim1, Samuel S. Cruz, Kyusang Lee, Babatunde O. Alawode, Chanyeol Choi, Yi Song, Jared M. Johnson, Christopher Heidelberger, Wei Kong, Shinhyun Choi, Kuan Qiao, Ibraheem Almansouri1, Eugene A. Fitzgerald, Jing Kong, Alexie M. Kolpak, Jinwoo Hwang, & Jeehwan…
Single-photon imager based on a superconducting nanowire delay line
Qing-Yuan Zhao, Di Zhu, Niccolò Calandri, Andrew E. Dane, Adam N. McCaughan, Francesco Bellei, Hao-Zhu Wang, Daniel F. Santavicca, and Karl K. Berggren doi:10.1038/nphoton.2017.35 Abstract: Detecting spatial and temporal information of individual photons is critical…
Flexible and stretchable nanowire-coated fibers for optoelectronic probing of spinal cord circuits
Chi Lu, Seongjun Park, Thomas J. Richner, Alexander Derry, Imogen Brown, Chong Hou, Siyuan Rao, Jeewoo Kang, Chet T. Mortiz, Yoel Fink, Polina Anikeeva DOI: 10.1126/sciadv.1600955 Abstract: Studies of neural pathways that contribute to loss and recovery of function…
3D-Printed Autonomous Sensory Composites
Subramanian Sundaram, Ziwen Jiang, Pitchaya Sitthi-Amorn, David S. Kim, Marc A. Baldo, and Wojciech Matusik DOI: 10.1002/admt.201600257 Abstract: A method for 3D-printing autonomous sensory composites requiring no external processing is presented. The composite…
A 58.6 mW 30 Frames/s Real-Time Programmable Multiobject Detection Accelerator With Deformable Parts Models on Full HD 1920×1080 Videos
Amr Suleiman, Zhengdong Zhang, Vivienne Sze DOI: 10.1109/JSSC.2017.2648820 Abstract: This paper presents a programmable, energy-efficient, and real-time object detection hardware accelerator for low power and high throughput applications using deformable parts…
Enhanced Cell Capture on Functionalized Graphene Oxide Nanosheets through Oxygen Clustering
Neelkanth M. Bardhan, Priyank V. Kumar, Zeyang Li, Hidde L. Ploegh, Jeffrey C. Grossman, Angela M. Belcher and Guan-Yu Chen doi: 10.1021/acsnano.6b06979 Abstract: With the global rise in incidence of cancer and infectious diseases, there is a need for the development…
A stripe phase with supersolid properties in spin–orbit-coupled Bose–Einstein condensates
Jun-Ru Li, Jeongwon Lee, Wujie Huang, Sean Burchesky, Boris Shteynas, Furkan Çağrı Top, Alan O. Jamison & Wolfgang Ketterle doi:10.1038/nature21431 Abstract: Supersolidity combines superfluid flow with long-range spatial periodicity of solids1 , two properties…
One-step optogenetics with multifunctional flexible polymer fibers
Seongjun Park, Yuanyuan Guo, Xiaoting Jia, Han Kyoung Choe, Benjamin Grena, Jeewoo Kang, Jiyeon Park, Chi Lu, Andres Canales, Ritchie Chen, Yeong Shin Yim, Gloria B Choi, Yoel Fink & Polina Anikeeva doi:10.1038/nn.4510 Abstract: Optogenetic interrogation of neural…
Electric field-induced second-order nonlinear optical effects in silicon waveguides
E. Timurdogan*, C. V. Poulton, M. J. Byrd and M. R. Watts DOI: 10.1038/NPHOTON.2017.14 Abstract: The symmetry of crystalline silicon inhibits a second-order optical nonlinear susceptibility, χ (2), in complementary metal– oxide–semiconductor-compatible silicon…
Quantum interpolation for high-resolution sensing
Ashok Ajoy, Yi-Xiang Liu, Kasturi Saha, Luca Marseglia, Jean-Christophe Jaskula, Ulf Bissbort, and Paola Cappellaro DOI:10.1073/pnas.1610835114 Abstract: Nanoscale magnetic resonance imaging enabled by quantum sensors is a promising path toward the outstanding goal of…
Bright Room-Temperature Single-Photon Emission from Defects in Gallium Nitride
Amanuel M. Berhane, Kwang-Yong Jeong, Zoltán Bodrog, Saskia Fiedler, Tim Schröder, Noelia Vico Triviño, Tomás Palacios, Adam Gali, Milos Toth, Dirk Englund, and Igor Aharonovich DOI: 10.1002/adma.201605092 Abstract: Room-temperature quantum emitters in gallium nitride…
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze DOI: 10.1109/JSSC.2016.2616357 Abstract: Eyeriss is an accelerator for state-of-the-art deep convolutional neural networks (CNNs). It optimizes for the energy efficiency of the entire system, including the…
Efficient plasmonic emission by the quantum Čerenkov effect from hot carriers in graphene
Ido Kaminer, Yaniv Tenenbaum Katan, Hrvoje Buljan, Yichen Shen, Ognjen Ilic, Josué J. López, Liang Jie Wong, John D. Joannopoulos, Marin Soljačić DOI:10.1038/ncomms11880 Abstract: Graphene plasmons have been found to be an exciting plasmonic platform, thanks to their…
Suppressing relaxation in superconducting qubits by quasiparticle pumping
Simon Gustavsson, Fei Yan, Gianluigi Catelani, Jonas Bylander, Archana Kamal, Jeffrey Birenbaum, David Hover, Danna Rosenberg, Gabriel Samach, Adam P. Sears, Steven J. Weber, Jonilyn L. Yoder, John Clarke, Andrew J. Kerman, Fumiki Yoshihara, Yasunobu Nakamura, Terry…
The flux qubit revisited to enhance coherence and reproducibility
Fei Yan, Simon Gustavsson, Archana Kamal, Jeffrey Birenbaum, Adam P. Sears, David Hover, Ted J. Gudmundsen, Danna Rosenberg, Gabriel Samach, S. Weber, Jonilyn L. Yoder, Terry P. Orlando, John Clarke, Andrew J. Kerman, William D. Oliver DOI:10.1038/ncomms12964…
Atom-by-atom assembly of defect-free one-dimensional cold atom arrays
Manuel Endres, Hannes Bernien, Alexander Keesling, Harry Levine, Eric R. Anschuetz, Alexandre Krajenbrink, Crystal Senko, Vladan Vuletic, Markus Greiner, Mikhail D. Lukin DOI: 10.1126/science.aah3752 Abstract: The realization of large-scale fully controllable quantum…
Magnetically Actuated Protease Sensors for in Vivo Tumor Profiling
Simone Schuerle, Jaideep S. Dudani, Michael G. Christiansen, Polina Anikeeva, Sangeeta N. Bhatia DOI: 10.1021/acs.nanolett.6b02670 Abstract: Targeted cancer therapies require a precise determination of the underlying biological processes driving tumorigenesis within…
Magnetically Actuated Protease Sensors for in Vivo Tumor Profiling
Simone Schuerle, Jaideep S. Dudani, Michael G. Christiansen, Polina Anikeeva, Sangeeta N. Bhatia DOI: 10.1021/acs.nanolett.6b02670 Abstract: Targeted cancer therapies require a precise determination of the underlying biological processes driving tumorigenesis within…
Magnetically Actuated Protease Sensors for in Vivo Tumor Profiling
Simone Schuerle, Jaideep S. Dudani, Michael G. Christiansen, Polina Anikeeva, Sangeeta N. Bhatia DOI: 10.1021/acs.nanolett.6b02670 Abstract: Targeted cancer therapies require a precise determination of the underlying biological processes driving tumorigenesis within…
Magnetically Actuated Protease Sensors for in Vivo Tumor Profiling
Simone Schuerle, Jaideep S. Dudani, Michael G. Christiansen, Polina Anikeeva, Sangeeta N. Bhatia DOI: 10.1021/acs.nanolett.6b02670 Abstract: Targeted cancer therapies require a precise determination of the underlying biological processes driving tumorigenesis within…
Magnetically Actuated Protease Sensors for in Vivo Tumor Profiling
Simone Schuerle, Jaideep S. Dudani, Michael G. Christiansen, Polina Anikeeva, Sangeeta N. Bhatia DOI: 10.1021/acs.nanolett.6b02670 Abstract: Targeted cancer therapies require a precise determination of the underlying biological processes driving tumorigenesis within…
Magnetically Actuated Protease Sensors for in Vivo Tumor Profiling
Simone Schuerle, Jaideep S. Dudani, Michael G. Christiansen, Polina Anikeeva, Sangeeta N. Bhatia DOI: 10.1021/acs.nanolett.6b02670 Abstract: Targeted cancer therapies require a precise determination of the underlying biological processes driving tumorigenesis within…
Continuous genetic recording with self-targeting CRISPR-Cas in human cells
Samuel D. Perli, Cheryl H. Cui, Timothy K. Lu DOI: 10.1126/science.aag0511 Abstract: The ability to record molecular events in vivo would enable monitoring of signaling dynamics within cellular niches and critical factors that orchestrate cellular behavior. We present…