Results 141 to 150 of about 679,163 (302)

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Controlling Exsolution Dynamics in High‐Entropy Oxides for Highly Active and Selective Acetylene Semi‐Hydrogenation

Angewandte Chemie, EarlyView.
Li+‐induced lattice distortion, valence variation, and local charge redistribution in a rock salt‐structured high‐entropy oxide enable controlled metal exsolution, altering the Cu–Ni–Co exsolution sequence and delivering a surface Cu0‐enriched catalyst with exceptional activity and ethylene selectivity for acetylene semi‐hydrogenation.
Hailing Yu, Caiqi Wang, Kevin M. Siniard, Qingju Wang, Yuanpeng Zhang, J. Anibal Boscoboinik, Xiao Tong, Eliseo Perez Gomez, Shuai Yuan, Arun S. Asundi, Oliver Mueller, Murillo Longo Martins, Yongqiang Cheng, Michael Richard Koehler, De‐en Jiang, Zili Wu, Zhenzhen Yang, Sheng Dai   +17 more
wiley   +2 more sources

Raising automotive fuel efficiency [PDF]

The Obama administration recently moved up the schedule for achieving the fuel efficiency standards set forth by Congress in the 2007 Energy Independence and Security Act. The deadline for meeting these standards is now vehicle model year 2016 instead of
Taft Foster, Thomas H. Klier
core  

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

The Autobus Is Leaving...Can the Philippines Catch It? [PDF]

How ready is the Philippines' automotive industry to face the zero tariff environment under the AFTA by 2010? And is the industry prepared for the globalization process?
Aldaba, Rafaelita M.
core  

Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy

Advanced Intelligent Systems, EarlyView.
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti, Muhammad Sunny Nazeer, Josh Pinskier, David Howard, Cecilia Laschi   +4 more
wiley   +1 more source

Artificial Neural Networks for Discrimination of Automotive Clear Coats by Vehicle Manufacturer. [PDF]

Sensors (Basel)
Lavine BK, White CG, Heisterkamp DR.
europepmc   +1 more source

SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications

Advanced Intelligent Systems, EarlyView.
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Array antenna with series-fed configuration providing high radiation performances for automotive radar in IoT applications. [PDF]

Sci Rep
Zakeri H, Parvaneh M, Moradi G, Alibakhshikenari M, Virdee BS, Dalarsson M.   +5 more
europepmc   +1 more source