Results 101 to 110 of about 10,689 (256)

Programmable Guest‐Induced 5‐Phase‐Transition Topological Reconstructions of Cobalt Formate Metal–Organic Frameworks

Advanced Science, EarlyView.
A reversible five‐phase topological cycle is achieved in a minimalist cobalt formate metal–organic framework. The amorphous phase functions as a programmable reactive hub, selectively reconstructing into four distinct crystalline architectures through cationic templates, humidity, or CO2.
Zhiyu Tao, Jingjian Li, Jing Ling, Tianxiang Chen, Wing‐Yiu Yu, Cong Lin, Tsz Woon Benedict Lo   +6 more
wiley   +1 more source

Position Accuracy Improvement of the Inertial Navigation System using LSTM Algorithm without GNSS Signals

Majlesi Journal of Electrical Engineering
Currently, satellite navigation systems on cars provide a promising means of making these vehicles unmanned in the future. There is a common problem with these systems due to the unavailability of satellite signals in tunnels, forests, and noisy areas ...
Mohammad Sabzevari, MasoudReza Aghabozorgi Sahaf   +1 more
doaj   +1 more source

Performance Analysis of Real-Time GPS/Galileo Precise Point Positioning Integrated with Inertial Navigation System. [PDF]

Sensors (Basel), 2023
Zhao L, Blunt P, Yang L, Ince S.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

A Machine Learning Approach for an Improved Inertial Navigation System Solution. [PDF]

Sensors (Basel), 2022
Mahdi AE, Azouz A, Abdalla AE, Abosekeen A.   +3 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Experimental Results of Attitude Determination Functional Algorithms Implementation in Strapdown Inertial Navigation System. [PDF]

Sensors (Basel), 2022
Zharkov M, Veremeenko K, Kuznetsov I, Pronkin A.   +3 more
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

An Evaluation of MEMS-IMU Performance on the Absolute Trajectory Error of Visual-Inertial Navigation System. [PDF]

Micromachines (Basel), 2022
Liu Y, Li Z, Zheng S, Cai P, Zou X.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source