Nanoscience – Page 171 – Kavli Institute Pre-Print Publications

Stochastic Variational Methods in Generalized Hidden Semi-Markov Models to Characterize Functionality in Random Heteropolymers

Posted by klaurent July 5, 2022July 18, 2022Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Yun Zhou, Boying Gong, Tao Jiang, Ting Xu, Haiyan Huang | Summary: Recent years have seen substantial advances in the development of biofunctional materials using synthetic polymers. The growing problem of elusive sequence-functionality relations for most biomaterials has driven researchers to seek more effective tools and analysis […]

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An additive framework for kirigami design

Posted by klaurent July 5, 2022July 18, 2022Harvard

Kavli Affiliate: L. Mahadevan | First 5 Authors: Levi H. Dudte, Gary P. T. Choi, Kaitlyn P. Becker, L. Mahadevan, | Summary: We present an additive approach for the inverse design of kirigami-based mechanical metamaterials by focusing on the design of the negative spaces instead of the kirigami tiles. By considering each negative space as […]

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An additive framework for kirigami design

Posted by klaurent July 5, 2022Harvard

Kavli Affiliate: L. Mahadevan | First 5 Authors: Levi H. Dudte, Gary P. T. Choi, Kaitlyn P. Becker, L. Mahadevan, | Summary: We present an additive approach for the inverse design of kirigami-based mechanical metamaterials by focusing on the empty (negative) spaces instead of the solid tiles. By considering each negative space as a four-bar […]

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Learning to correct spectral methods for simulating turbulent flows

Posted by klaurent July 1, 2022July 18, 2022Harvard

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith | Summary: Despite their ubiquity throughout science and engineering, only a handful of partial differential equations (PDEs) have analytical, or closed-form solutions. This motivates a vast amount of classical work on numerical simulation of PDEs […]

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Learning to correct spectral methods for simulating turbulent flows

Posted by klaurent July 1, 2022Harvard

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WS-Snapshot: An effective algorithm for wide-field and large-scale imaging

Posted by klaurent July 1, 2022July 18, 2022Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Yangfan Xie, Feng Wang, Hui Deng, Ying Mei, Ying-He Celeste Lu | Summary: The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. The high accuracy, wide-field and large size imaging significantly challenge the construction of the Science Data Processor (SDP) of […]

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High-field charge transport and noise in p-Si from first principles

Posted by klaurent June 29, 2022July 18, 2022Caltech

Kavli Affiliate: Austin Minnich | First 5 Authors: David Catherall, Austin Minnich, , , | Summary: The parameter-free computation of charge transport properties of semiconductors is now routine owing to advances in the ab-initio description of the electron-phonon interaction. Many studies focus on the low-field regime in which the carrier temperature equals the lattice temperature […]

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Coherent feedback in optomechanical systems in the sideband-unresolved regime

Posted by klaurent June 28, 2022July 18, 2022Delft

Kavli Affiliate: Simon Groblacher | First 5 Authors: Jingkun Guo, Simon Gröblacher, , , | Summary: Preparing macroscopic mechanical resonators close to their motional quantum groundstate and generating entanglement with light offers great opportunities in studying fundamental physics and in developing a new generation of quantum applications. Here we propose an experimentally interesting scheme, which […]

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Coherent feedback in optomechanical systems in the sideband-unresolved regime

Posted by klaurent June 28, 2022Delft

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A scalable superconducting quantum simulator with long-range connectivity based on a photonic bandgap metamaterial

Posted by klaurent June 26, 2022Caltech

Kavli Affiliate: Oskar Painter | First 5 Authors: Xueyue Zhang, Eunjong Kim, Daniel K. Mark, Soonwon Choi, Oskar Painter | Summary: Synthesis of many-body quantum systems in the laboratory can provide further insight into the emergent behavior of quantum materials. While the majority of engineerable many-body systems, or quantum simulators, consist of particles on a […]

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