Engineering Papers⌕ Search
Home/Archive/DOE OSTI

DOE OSTI · 3375512

The 2026 guided acoustic waves roadmap

Krenner, Hubert J. [Universität Münster (Germany)] (ORCID:000000020696456X)·Santos, Paulo V. [Leibniz-Institut im Forschungsverbund Berlin (Germany)] (ORCID:0000000202188030)·Westerhausen, Christoph [Univ. of Augsburg (Germany)]·Andersson, Gustav [Univ. of Chicago, IL (United States); Argonne National Laboratory (ANL), Lemont, IL (United States)]·Cleland, Andrew N. [Univ. of Chicago, IL (United States)] (ORCID:0000000349814294)·Sellier, Hermann [Univ. of Grenoble Alpes, Grenoble (France)] (ORCID:0000000214391044)·Takada, Shintaro [Osaka Univ. (Japan)] (ORCID:000000027831585X)·Bäuerle, Christopher [Univ. of Grenoble Alpes, Grenoble (France)] (ORCID:0000000173930346)·Wigger, Daniel [Universität Münster (Germany)] (ORCID:0000000241908803)·Kuhn, Tilmann [Universität Münster (Germany)] (ORCID:0000000174499287)·Machnikowski, Paweł [Wroclaw Univ. of Science and Technology (Poland)] (ORCID:0000000303491725)·Weiß, Matthias [Universität Münster (Germany)] (ORCID:0000000231408266)·Moody, Galan [Univ. of California, Santa Barbara, CA (United States)] (ORCID:0000000262652034)·Hernández-Mínguez, Alberto [Leibniz-Institut im Forschungsverbund Berlin (Germany)] (ORCID:0000000343619914)·Lazić, Snežana [Univ. Autonoma de Madrid (Spain)] (ORCID:0000000213891901)·Kuznetsov, Alexander S. [Leibniz-Institut im Forschungsverbund Berlin (Germany)] (ORCID:0000000215690791)·Küß, Matthias [Univ. of Augsburg (Germany)] (ORCID:0000000259344153)·Albrecht, Manfred [Univ. of Augsburg (Germany)]·Weiler, Mathias [Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (Germany)]·Puebla, Jorge [Inst. of Physical and Chemical Research (RIKEN), Wako (Japan); Kyoto Univ. (Japan)] (ORCID:0000000243645672)·Hwang, Yunyoung [Inst. of Physical and Chemical Research (RIKEN), Wako (Japan); Univ. of Tokyo (Japan)] (ORCID:0000000283798921)·Otani, Yoshichika [Inst. of Physical and Chemical Research (RIKEN), Wako (Japan); Univ. of Tokyo (Japan)] (ORCID:0000000180081493)·Balram, Krishna C. [Univ. of Bristol (United Kingdom)]·Chen, I-Tung [Univ. of Washington, Seattle, WA (United States)] (ORCID:0009000503709511)·Lai, Keji [Univ. of Texas, Austin, TX (United States)]·Li, Mo [Univ. of Washington, Seattle, WA (United States)]·Nash, Geoff R. [Univ. of Exeter, Devon (United Kingdom)] (ORCID:0000000253214163)·Nysten, Emeline D. S. [Universität Münster (Germany)]·Bhattacharjee, Paromita [Universität Münster (Germany)] (ORCID:0000000172477535)·Mishra, Himakshi [Manipal Institute of Technology, Bangalore (india)] (ORCID:0000000190953013)·Iyer, Parameswar K. [Indian Institute of Technology Guwahati (India)] (ORCID:0000000341263774)·Nemade, Harshal B. [Indian Institute of Technology Guwahati (India)] (ORCID:0000000247928979)·Khelif, Abdelkrim [Université de Franche-Comté, Besançon (France); Hamad Bin Khalifa University, Doha (Qatar)]·Benchabane, Sarah [Université de Franche-Comté, Besançon (France)]·Feng, Gao [Zhejiang Univ., Hangzhou (China)]·Jin, Yabin [Fudan Univ., Shanghai (China)] (ORCID:0000000269918827)·Bartasyte, Ausrine [Université Marie et Louis Pasteur, Besançon (France); Univ. Paris-Saclay, Palaiseau (France); Institut Universitaire de France, Paris (France)] (ORCID:0000000288622669)·Margueron, Samuel [Université Marie et Louis Pasteur, Besançon (France)] (ORCID:0000000329711351)·Marangolo, Massimiliano [Sorbonne Univ., Paris (France)] (ORCID:0000000162118168)·Thevenard, Laura [Sorbonne Univ., Paris (France)] (ORCID:0000000247232955)·Rovillain, Pauline [Sorbonne Univ., Paris (France)]·Gourdon, Catherine [Sorbonne Univ., Paris (France)] (ORCID:0000000199011399)·Hage-Ali, Sami [Universite de Lorraine, Nancy (France)] (ORCID:0000000251397277)·Elmazria, Omar [Universite de Lorraine, Nancy (France)] (ORCID:0000000349179120)·Schmidt, Hagen [Leibniz Inst. for Solid State and Materials Research (IFW), Dresden (Germany)] (ORCID:000000032352351X)·Yeo, Leslie Y. [RMIT University, Melbourne, VIC (Australia)] (ORCID:0000000259499729)·Ambattu, Lizebona A. [RMIT University, Melbourne, VIC (Australia)] (ORCID:0000000160730652)·Jeon, Jessie S. [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)] (ORCID:0000000166905775)·Kwak, Daesik [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)] (ORCID:0009000238542991)·Rufo, Joseph [Duke Univ., Durham, NC (United States)]·Yang, Shujie [Duke Univ., Durham, NC (United States)]·Huang, Tony Jun [Duke Univ., Durham, NC (United States)] (ORCID:0000000312053313)
View original source ↗Read source document ↗Export metadata ↓

Abstract

Guided elastic waves are a truly cross-disciplinary key enabling technology. For more than five decades, surface acoustic wave (SAW) and bulk acoustic wave devices find widespread applications. Nowadays, different types of guided elastic waves cover the wide spectrum of applications spanning from quantum technologies to the life sciences, from controlling single excitations to macroscopic collective states in condensed matter. Six years after the first 2019 SAW roadmap, we believe it is time to make a step back and take a fresh look at the status of the field and its future challenges. Since the first roadmap in 2019, the spectrum clearly expanded and this new edition presents a current snapshot of the status of this vibrant field and prospects for potential future developments.

Explore related subjects

71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Krenner, Hubert J. [Universität Münster (Germany)] (ORCID:000000020696456X), Santos, Paulo V. [Leibniz-Institut im Forschungsverbund Berlin (Germany)] (ORCID:0000000202188030), Westerhausen, Christoph [Univ. of Augsburg (Germany)], Andersson, Gustav [Univ. of Chicago, IL (United States); Argonne National Laboratory (ANL), Lemont, IL (United States)], Cleland, Andrew N. [Univ. of Chicago, IL (United States)] (ORCID:0000000349814294), Sellier, Hermann [Univ. of Grenoble Alpes, Grenoble (France)] (ORCID:0000000214391044), Takada, Shintaro [Osaka Univ. (Japan)] (ORCID:000000027831585X), Bäuerle, Christopher [Univ. of Grenoble Alpes, Grenoble (France)] (ORCID:0000000173930346), Wigger, Daniel [Universität Münster (Germany)] (ORCID:0000000241908803), Kuhn, Tilmann [Universität Münster (Germany)] (ORCID:0000000174499287), Machnikowski, Paweł [Wroclaw Univ. of Science and Technology (Poland)] (ORCID:0000000303491725), Weiß, Matthias [Universität Münster (Germany)] (ORCID:0000000231408266), Moody, Galan [Univ. of California, Santa Barbara, CA (United States)] (ORCID:0000000262652034), Hernández-Mínguez, Alberto [Leibniz-Institut im Forschungsverbund Berlin (Germany)] (ORCID:0000000343619914), Lazić, Snežana [Univ. Autonoma de Madrid (Spain)] (ORCID:0000000213891901), Kuznetsov, Alexander S. [Leibniz-Institut im Forschungsverbund Berlin (Germany)] (ORCID:0000000215690791), Küß, Matthias [Univ. of Augsburg (Germany)] (ORCID:0000000259344153), Albrecht, Manfred [Univ. of Augsburg (Germany)], Weiler, Mathias [Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (Germany)], Puebla, Jorge [Inst. of Physical and Chemical Research (RIKEN), Wako (Japan); Kyoto Univ. (Japan)] (ORCID:0000000243645672), Hwang, Yunyoung [Inst. of Physical and Chemical Research (RIKEN), Wako (Japan); Univ. of Tokyo (Japan)] (ORCID:0000000283798921), Otani, Yoshichika [Inst. of Physical and Chemical Research (RIKEN), Wako (Japan); Univ. of Tokyo (Japan)] (ORCID:0000000180081493), Balram, Krishna C. [Univ. of Bristol (United Kingdom)], Chen, I-Tung [Univ. of Washington, Seattle, WA (United States)] (ORCID:0009000503709511), Lai, Keji [Univ. of Texas, Austin, TX (United States)], Li, Mo [Univ. of Washington, Seattle, WA (United States)], Nash, Geoff R. [Univ. of Exeter, Devon (United Kingdom)] (ORCID:0000000253214163), Nysten, Emeline D. S. [Universität Münster (Germany)], Bhattacharjee, Paromita [Universität Münster (Germany)] (ORCID:0000000172477535), Mishra, Himakshi [Manipal Institute of Technology, Bangalore (india)] (ORCID:0000000190953013), Iyer, Parameswar K. [Indian Institute of Technology Guwahati (India)] (ORCID:0000000341263774), Nemade, Harshal B. [Indian Institute of Technology Guwahati (India)] (ORCID:0000000247928979), Khelif, Abdelkrim [Université de Franche-Comté, Besançon (France); Hamad Bin Khalifa University, Doha (Qatar)], Benchabane, Sarah [Université de Franche-Comté, Besançon (France)], Feng, Gao [Zhejiang Univ., Hangzhou (China)], Jin, Yabin [Fudan Univ., Shanghai (China)] (ORCID:0000000269918827), Bartasyte, Ausrine [Université Marie et Louis Pasteur, Besançon (France); Univ. Paris-Saclay, Palaiseau (France); Institut Universitaire de France, Paris (France)] (ORCID:0000000288622669), Margueron, Samuel [Université Marie et Louis Pasteur, Besançon (France)] (ORCID:0000000329711351), Marangolo, Massimiliano [Sorbonne Univ., Paris (France)] (ORCID:0000000162118168), Thevenard, Laura [Sorbonne Univ., Paris (France)] (ORCID:0000000247232955), Rovillain, Pauline [Sorbonne Univ., Paris (France)], Gourdon, Catherine [Sorbonne Univ., Paris (France)] (ORCID:0000000199011399), Hage-Ali, Sami [Universite de Lorraine, Nancy (France)] (ORCID:0000000251397277), Elmazria, Omar [Universite de Lorraine, Nancy (France)] (ORCID:0000000349179120), Schmidt, Hagen [Leibniz Inst. for Solid State and Materials Research (IFW), Dresden (Germany)] (ORCID:000000032352351X), Yeo, Leslie Y. [RMIT University, Melbourne, VIC (Australia)] (ORCID:0000000259499729), Ambattu, Lizebona A. [RMIT University, Melbourne, VIC (Australia)] (ORCID:0000000160730652), Jeon, Jessie S. [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)] (ORCID:0000000166905775), Kwak, Daesik [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)] (ORCID:0009000238542991), Rufo, Joseph [Duke Univ., Durham, NC (United States)], Yang, Shujie [Duke Univ., Durham, NC (United States)], Huang, Tony Jun [Duke Univ., Durham, NC (United States)] (ORCID:0000000312053313). 2026-03-02. The 2026 guided acoustic waves roadmap. https://doi.org/10.1088/1361-6463%2Fae258d

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

DOE OSTI2026

Vidyut3d: A GPU accelerated fluid solver for non-equilibrium plasmas on adaptive grids

We present the numerical methods, programming methodology, verification, and performance assessment of a non-equilibrium plasma fluid solver that can effectively utilize current and upcoming central processing and graphics processing unit (CPU+GPU) architectures, in this work. Our plasma fluid model solves the coupled conservation equations for species transport, electrostatic Poisson and electron temperature on adaptive Cartesian grids. Our solver is written using performance portable adaptive-grid/particle management library, AMReX, and is portable over widely available vendor specific GPU architectures. We present verification of our solver using method of manufactured solutions that indicate formal second order accuracy with central diffusion and fifth-order weighted-essentially-non-oscillatory (WENO) advection scheme. We also verify our solver with published literature on capacitive discharges and atmospheric pressure streamer propagation. We demonstrate the use of our solver on two 3D simulation cases: an atmospheric streamer propagation in Ar-H2 mixtures and a low pressure three-electrode radio frequency reactor. Our performance studies on three different CPU+GPU architectures indicate ~ 150-400X speed-up using AMD and NVIDIA GPUs per time step compared to a single CPU core for a 4 million cell simulation with 15 species.

71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗
DOE OSTI2026

Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms

The emergent practical applicability of the Quantum Approximate Optimization Algorithm (QAOA) for approximate combinatorial optimization is a subject of considerable interest. One of the primary limitations of QAOA is the task of finding a set of good parameters, which is usually done using a variational optimization loop. Parameter transfer, or parameter concentration, is a phenomenon where QAOA angles trained on problem instances that are self-similar tend to perform well for other problem instances from that similar class. This suggests a potentially highly efficient and scalable non-variational learning method for QAOA angle finding. In this work, we systematically study QAOA parameter transferability from small problem sizes (16 and 27 decision variables) onto large problem instances (up to 156 qubits) for heavy-hex graph Ising models with geometrically local higher order terms using the Julia based QAOA simulation tool \texttt{JuliQAOA} to perform classical angle finding for up to $49$ QAOA layers ($p$). Parameter transfer of the fixed angles is validated using a combination of full statevector, Projected Entangled Pair States (PEPS), Matrix Product State (MPS), and LOWESA numerical simulations. We find that the QAOA parameter transfer from single instances applied to other (unseen) problem instances does not in general provide monotonically improving performance as a function of $p$ - there are many cases where the performance temporarily decreases as a function of $p$ - but despite this the transferred angles have a general trend of improved expectation value as the QAOA depth increases, in many cases converging close to the true ground-state energy of the $100+$ qubit instances. We also sample the hardware-compatible Ising models using the ensemble of transfer-learned QAOA parameters on several superconducting qubit IBM Quantum processors with 127, 133, and 156 qubits. We find continuous solution quality improvement of the hardware-compatible QAOA circuits run on the IBM NISQ processors up to $p=5$ on \texttt{ibm\_fez}, up to $p=9$ on \texttt{ibm\_torino}, and up to $p=10$ on \texttt{ibm\_pittsburgh}.

71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗