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1. Compact reconfigurable kirigami

   https://doi.org/10.1103/PhysRevResearch.3.043030  

   Choi, Gary P.; Dudte, Levi H.; Mahadevan, L. (October 2021, Physical Review Research)
2. Optimal oblivious reconfigurable networks

   https://doi.org/10.1145/3519935.3520020  

   Amir, Daniel; Wilson, Tegan; Shrivastav, Vishal; Weatherspoon, Hakim; Kleinberg, Robert; Agarwal, Rachit (June 2022, ACM SIGACT Symposium on Theory of Computing)

   Oblivious routing has a long history in both the theory and practice of networking. In this work we initiate the formal study of oblivious routing in the context of reconfigurable networks, a new architecture that has recently come to the fore in datacenter networking. These networks allow a rapidly changing bounded-degree pattern of interconnections between nodes, but the network topology and the selection of routing paths must both be oblivious to the traffic demand matrix. Our focus is on the trade-off between maximizing throughput and minimizing latency in these networks. For every constant throughput rate, we characterize (up to a constant factor) the minimum latency achievable by an oblivious reconfigurable network design that satisfies the given throughput guarantee. The trade-off between these two objectives turns out to be surprisingly subtle: the curve depicting it has an unexpected scalloped shape reflecting the fact that load-balancing becomes more difficult when the average length of routing paths is not an integer because equalizing all the path lengths is not possible. The proof of our lower bound uses LP duality to verify that Valiant load balancing is the most efficient oblivious routing scheme when used in combination with an optimally-designed reconfigurable network topology. The proof of our upper bound uses an algebraic construction in which the network nodes are identified with vectors over a finite field, the network topology is described by either the elementary basis or a sequence of Vandermonde matrices, and routing paths are constructed by selecting columns of these matrices to yield the appropriate mixture of path lengths within the shortest possible time interval. 

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3. Electrochemically reconfigurable architected materials

   https://doi.org/10.1038/s41586-019-1538-z  

   Xia, Xiaoxing; Afshar, Arman; Yang, Heng; Portela, Carlos M.; Kochmann, Dennis M.; Di Leo, Claudio V.; Greer, Julia R. (September 2019, Nature)
4. Reconfigurable analog photonic networks

   https://doi.org/10.1109/IPCon.2017.8116099  

   Tait, A. N.; de Lima, T. Ferreira; Nahmias, M. A.; Shastri, B. J.; Prucnal, P. R. (October 2017, IEEE Photonics Conference (IPC))
5. Reconfigurable Radios Employing Ferroelectrics

   Milad Koohi, Amir Mortazawi (May 2020, IEEE microwave magazine)

   null (Ed.)

   Wireless communication has become an integral part of our lives, continuously improving the quality of our everyday activities. A multitude of functionalities are offered by recent generations of mobile phones, resulting in a significant adoption of wireless devices and a growth in data traffic, as reported by Ericsson [1] in Figure 1. To accommodate consumers' continuous demands for high data rates, the number of frequency bands allocated for communication by governments across the world has also steadily increased. Furthermore, new technologies, such as carrier aggregation and multiple-input/multiple-output have been developed. Today's mobile devices are capable of supporting numerous wireless technologies (i.e., Wi-Fi, Bluetooth, GPS, 3G, 4G, and others), each having its own designated frequency bands of operation. Bandpass filters, multiplexers, and switchplexers in RF transceivers are essential for the coexistence of different wireless technologies and play a vital role in efficient spectrum usage. Current mobile devices contain many bandpass filters and switches to select the frequency band of interest, based on the desired mode of operation, as shown in Figure 2. This figure presents a schematic of a generic RF front end for a typical mobile device, where a separate module is allocated for the filters. Each generation of mobile devices demands a larger number of RF filters and switches, and, with the transition toward 5G and its corresponding frequency bands, the larger number of required filters will only add to the challenges associated with cell-phone RF front-end design. 

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