Results 211 to 220 of about 137,279 (323)

AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry

Angewandte Chemie, EarlyView.
AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita, Roman Zubatyuk, Dylan M. Anstine, Maike Bergeler, Volker Settels, Conrad Stork, Sebastian Spicher, Olexandr Isayev   +7 more
wiley   +2 more sources

A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving. [PDF]

Sensors (Basel)
Wu H, Zhou X, Lyu N, Wang Y, Xu L, Yang Z.   +5 more
europepmc   +1 more source

New method to find operating points for multi-PID control. Application to vehicle lateral guidance ⁎ ⁎This work took place in the framework of the OpenLab ‘Electronics and Systems for Automotive’ combining IMS laboratory and Groupe PSA company. .

, 2018
Nolwenn Monot, Xavier Moreau, André Benine-Neto, Audrey Rizzo, François Aioun   +4 more
openalex   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Enhancing the Performance and Reliability of an Automotive Reed Sensor Through Spring Integration and Advanced Manufacturing. [PDF]

Sensors (Basel)
Farooq U, Bertana V, Ferrero S, Cantarelli D, Costa L, Bigaran S, Costa L, Scaltrito L.   +7 more
europepmc   +1 more source

A Streamlined Test-Oriented Lifetime Assessment Framework for Automotive Power Electronics Converters

Sachin Kumar Bhoi, Sajib Chakraborty, Alireza Aghdaei, Anu Mathew, Tobias Daniel Horn, Sebastian Liebig, Jan Albrecht, Abart Christoph, Rik W. De Doncker, Omar Hegazy   +9 more
openalex   +1 more source

X-in-the-Loop Validation of Deep Learning-Based Virtual Sensing for Lifetime Estimation of Automotive Power Electronics Converters [PDF]

Sajib Chakraborty, Sachin Kumar Bhoi, Farzad Hosseinabadi, Pooya Davari, Frede Blaabjerg, Omar Hegazy   +5 more
openalex   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

Advanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang, Chenzhou Zhao, Bo Dai, Qi Wang, Dawei Zhang, Songlin Zhuang, Chao Ping Chen   +6 more
wiley   +1 more source

Low‐Concentration Electrolytes Based on Weakly Coordinating Anions for Applications in Lithium‐Ion‐Batteries and Lithium‐Metal‐Batteries

Angewandte Chemie, EarlyView.
Big is beautiful? The performance of 0.2 M low concentration lithium electrolytes with large weakly coordinating anions [Al{OC(CF3)3}4]− and [Ga(C2F5)4]− in low viscosity ortho‐difluorobenzene solution is tested in comparison to standard 1.0 M as well as diluted 0.2 M carbonate‐based electrolytes with Li[PF6] conducting salt.
Stephan Burger, Katharina Tölke, Hendrik Koger, Noah Schmidt‐Meinzer, Antoine Barthélemy, Harald Scherer, Torsten Remmler, Berthold Hoge, Ingo Krossing   +8 more
wiley   +2 more sources

Requirements for next-generation integrated photonic FMCW LiDAR sources. [PDF]

Nat Commun
Bianconi S, Ribes-Pleguezuelo P, Silvestri F.   +2 more
europepmc   +1 more source