Results 21 to 30 of about 144 (102)
A compostable PGS soft surgical robot with interchangeable modules integrates transient Mo tactile and Si thermal sensors for dual feedback. The device preserves its function after clinical‐grade sterilization, demonstrates stable actuation and cardiac tissue grasping with real‐time in vivo pulsatile monitoring, and biodegrades post‐use with soil‐safe,
Minseong Chae +27 more
wiley +1 more source
Low‐Code and No‐Code Tools: A Valuable Aid or a Potential Threat to Professional Developers?
ABSTRACT Background The rapid adoption of low‐code (LC) and no‐code (NC) tools has transformed the software development landscape, offering faster development cycles and enabling non‐programmers to contribute to software creation. Objective This study systematically maps the effects of LC/NC tools on developers, addressing the critical need to ...
Saima Rafi +2 more
wiley +1 more source
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé +5 more
wiley +1 more source
The formation of nonmetallic inclusions (NMIs) was investigated in this study, carrying out immersion tests for 30 min at a temperature of 1600°C with liquid high‐silicon electrical steel (Si ≈ 3 mass‐%) and different MgO–C refractories. Conventional MgO–C refractories were considered, as well as MgO–C refractories containing MgO–C recyclate and ...
Lukas Neubert +6 more
wiley +1 more source
Enabling Metal‐Based Soft Robotics Through Investment Casting
Vacuum investment casting enables manufacturing of compliant soft robotic structures out of AA7075 high‐strength aluminum alloy. Additively manufactured patterns are converted into metal soft robotic structures addressing long lasting challenges like durability and nonlinearity of elastomer‐based soft robotics.
Felix Pancheri, Tim C. Lueth, Yilun Sun
wiley +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
A Rank Model of Casting Non-Conformity Detection Methods in the Context of Industry 4.0. [PDF]
Ulewicz R, Czerwińska K, Pacana A.
europepmc +1 more source

