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Nanoscale photonic artificial neuron with biological signal processing
An experimentally demonstrated nanowire neuron combines excitatory and inhibitory optical inputs, signal integration and a nonlinear response.
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Robustness-oriented training for automated design of photonic tensor cores
Robustness-oriented training connects model optimisation with the physical characteristics of photonic tensor cores.
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Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
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Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
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Flexible fabrication of aligned multi-nanowire circuits for on-chip prototyping
Aligned multi-nanowire circuits and deterministic fabrication techniques provide background for integrating complementary optoelectronic devices.
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Neural network connectivity by optical broadcasting between III‐V nanowires
Nanowire geometry, orientation and wavelength provide ways to control coupling and connectivity in optically connected neural networks.
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Direct on-Chip Optical Communication between Nano Optoelectronic Devices
A fabricated emitter–receiver pair demonstrates direct optical communication between individual nanowire devices on a chip.
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End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters
The AIDO framework uses a learned surrogate of simulation and reconstruction for gradient-based exploration of detector designs.
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Hadron Identification Prospects with Granular Calorimeters
In this work we consider the problem of determining the identity of hadrons at high energies based on the topology of their energy …
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Neuromorphic Readout for Hadron Calorimeters
Simulations connect time-structured scintillation light with spiking-network estimates of energy, position and shower shape.
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