Researchers in the Murmann Mixed Signal Group have developed a pipelined chip architecture with inverted residual and linear bottlenecks-based networks for energy efficient Machine Learning inference on edge devices.
The Fan Lab at Stanford University has developed an ultra-fast, physics-augmented, deep learning enhanced surrogate field solver for high-speed electromagnetic simulation and optimization. Denoising WaveY-Net uses a two-stage approach to target different field error sources.
Researchers at Stanford have developed a technique that can rapidly and sequentially separate multiple sets of III-V solar cell thin films grown as a stack on one III-V wafer.
Stanford Nanoscale and Quantum Photonics Lab researchers developed a passive, magnet free, integrated on-chip laser stabilization and isolation device. Lasers need a way to prevent the light they emit from reflecting into the laser and destabilizing it.
We present a revolutionary advancement in ferroelectric materials that is set to redefine the landscape of embedded memories and semiconductor technologies.
Stanford researchers have developed a fast and energy-efficient computational platform-based on the Potts Machine model that can solve large-scale, combinatorial optimization problems.
Researchers in the DeSimone Research Group have developed a high-resolution injection Continuous Liquid Interface Production (iCLIP) 3D printing process.
Researchers at Stanford University have developed Schottky contacts for aluminum nitride-based microelectronic devices. The contacts enable reliable device operation at up to 600 ºC, opening up opportunities for high temperature microelectronic performance.
Stanford researchers in the Pop Lab have developed a method of making low resistance, good conductivity, temperature tolerant, CMOS processing compatible contacts for 2d semiconductor materials based on transition metal dihalcogenides (TMD's).
Researchers at Stanford are designing a class of "2.5-dimensional" microwave cavities that enables coupling/interaction between microwave photons and solid-state quantum spins in a way which is strong compared to loss.
Researchers at Stanford have developed a new synthetic strategy for self-assembling layered heterostructures into large single crystals and films useful in microelectronics.
Scientists in the Zhenan Bao Research Group at Stanford developed a process for direct photo-patterning of electronic polymers that improves device density of elastic circuits over 100x.