Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics

Research article (APL Machine Learning, 2023) · cited 13× · AI/ML
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Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics

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Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. Retrieved May 24, 2026, from https://4ort.xyz/entity/benchmarking-energy-consumption-and-latency-for-neuromorphic-computing-in-condensed-matter-and-particle-physics
MLA “Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benchmarking-energy-consumption-and-latency-for-neuromorphic-computing-in-condensed-matter-and-particle-physics.
BibTeX @misc{4ortxyz_benchmarking-energy-consumption-and-latency-for-neuromorphic-computing-in-condensed-matter-and-particle-physics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics}}, year = {2026}, url = {https://4ort.xyz/entity/benchmarking-energy-consumption-and-latency-for-neuromorphic-computing-in-condensed-matter-and-particle-physics}, note = {Accessed: 2026-05-24}}
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