End-to-end robust system discovery in electrical dynamical systems using scientific machine learning [0.03%]
基于科学机器学习的电力动力系统端到端鲁棒系统识别方法研究
Jhelum Chakravorty,Nicolò Ripamonti,Tor Laneryd
Jhelum Chakravorty
System discovery is an important part of the power systems asset management process. In this paper, we introduce an end-to-end approach for robust system discovery for a class of electrical dynamical systems with polynomial dynamics. To tha...
Unlocking the Nickel Value of Ultramafic Resources Through Innovative Thermal Treatment Process [0.03%]
通过创新热处理工艺开发 ultramafic 资源中的镍价值
Wei Lv,Fanmao Wang,Brian Makuza et al.
Wei Lv et al.
Nickel is a critical metal with broad applications in stainless steel and nickel-based alloys. In recent years, its rapidly growing use in secondary batteries has become particularly important, underscoring its strategic role in enabling lo...
Real-time 3D ultrasound in augmented reality accelerates training and narrows novice-expert performance gaps [0.03%]
基于增强现实的实时三维超声加速培训并缩小新手和专家之间的表现差距
Jason F Hou,Shrihari Viswanath,Cinay Dilibal et al.
Jason F Hou et al.
Ultrasound imaging requires users to infer three-dimensional anatomy from two-dimensional slices, imposing steep training demands that limit broader adoption. Here we present AR-VIU, a mixed-reality platform that streams real-time volumetri...
A machine learning perspective on three decades of methanol synthesis: research framework and experimental operation insights [0.03%]
从机器学习的角度审视三十年的甲醇合成研究：研究框架与实验操作见解
Mo Yan,Chengxi Yao,Shihao Wu et al.
Mo Yan et al.
Heterogeneous catalysis optimization relies on the coordinated selection of catalyst composition, synthesis procedure, and reaction conditions, yet the empirical links between these variables and catalytic performance remain scattered acros...
Thermal-mechanical coupling in shale geothermal reservoirs: a framework for temperature-dependent seismic characterization [0.03%]
泥岩地热储层的热-机械耦合：温度依赖性地震表征的框架
Qamar Yasin,Ghulam Mohyuddin Sohail,Eshimiakhe Daniel et al.
Qamar Yasin et al.
Reliable seismic characterization of geothermal reservoirs requires quantifying the effects of temperature on rock elastic properties. We investigate temperature-dependent seismic velocity evolution in shale through integrated laboratory ul...
A shape optimization method for resistance reduction of local piping components with multiscale validation [0.03%]
基于多尺度验证的局部管件减阻型线优化方法研究
Ao Tian,Ran Gao,Angui Li et al.
Ao Tian et al.
Reducing the flow resistance of local components in building transmission and distribution systems is a key pathway to building energy conservation. Here we propose a novel low-resistance optimization method applied to U-bend shape design, ...
Kunal Singh,Thomas Thundat,Amit Goyal
Kunal Singh
Low global recycling rates of plastics are constrained by the lack of rapid, accurate, and scalable technologies for waste sorting. Here we report a standoff Transient Thermal Barcode (TTB) technique that identifies plastics using their mid...
Batteryless wireless tilt sensor with self-calibration capability for structural health monitoring [0.03%]
一种具有自标定功能的无线倾角传感器用于结构健康监测
Ali-Reza Moznebi,Hamidreza Laribi,Kambiz Moez et al.
Ali-Reza Moznebi et al.
Aging infrastructures require constant monitoring to prevent major disasters. Accurate tilt detection is vital in determining the instability of bridges and foundations; however, existing systems depend on batteries, cables, and periodic ca...
Physics-informed neural Volterra compensation enabling over 2600× efficiency improvement in 12,057-km ultra-long-haul coherent transmission [0.03%]
基于物理知识的神经Volterra补偿在12057公里的超长距离相干传输中实现超过2600倍的效率改进
Xingchen He,Lianshan Yan,Lin Jiang et al.
Xingchen He et al.
Fiber nonlinearity limits reach and capacity in long-haul coherent systems. Here we present a single-step, physics-informed neural approach to nonlinear compensation that preserves the parallel structure of the Volterra-series transfer func...
Ariel Slepyan,Laura Xing,Rudy Zhang et al.
Ariel Slepyan et al.
Large-area, high-speed tactile skins could improve robotics, prosthetics, and human-machine interfaces, but scaling them is limited by wiring complexity and readout bandwidth. We introduce Single-Pixel Tactile Skin (SPTS), a flexible, daisy...