Results 181 to 190 of about 22,407 (307)
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Glycine molecules induce a unique crystal packing into a supramolecular one‐dimensional columnar structure of octacyanidotungstates, which exhibits exceptionally strong antiferromagnetic superexchange interactions of J = −42.41(2) K between adjacent octacyanidotungstate units.
Tatsuya Konishi +8 more
wiley +2 more sources
Optimized Rectifier Topologies for Low-Voltage Electromagnetic Energy Harvesters. [PDF]
Krug N, Heer F, Fischerauer G.
europepmc +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
A high-gain symmetric-bipolar buck-boost AC-AC converter with step-changed output frequency and rectifier operation. [PDF]
Karimi Hajiabadi M +3 more
europepmc +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Intelligent MPPT-based energy management for hybrid renewable energy grids using trans Z-source quadratic boost converter. [PDF]
Manickam S, Padma S.
europepmc +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Enhancing grid stability using dynamic reserve power point tracking techniques. [PDF]
Kumar S +4 more
europepmc +1 more source
Electrostatic Actuation Induces Competing Adhesion and Vibration Regimes at Fingertip Contact
Electric fields modulate fingertip–surface contact to create artificial touch sensations. The mechanisms underlying electrostatic friction, however, remain unclear. Direct imaging and friction measurements under oscillating electric fields showed that adhesion dominates at high frequencies, while vibration contributes substantially at the lower ...
Celal Umut Kenanoglu +2 more
wiley +1 more source

