Results 151 to 160 of about 400,828 (294)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Self-driving bioprinting laboratories. [PDF]

Biofabrication
Liu S, Kaur N, Song DH, Moses JC, Ozbolat IT.   +4 more
europepmc   +1 more source

Driver support and automated driving systems

, 1999
Automation in driving ranges from simple in-vehicle information systems to completely automated driving in the Automated Highway System (AHS). An increased level of automation and increased restriction in behavioural freedom, as well as decreased control over tasks, have serious consequences for driverbehaviour, and for driver acceptance of these ...
De Waard, D., Brookhuis, K.A.
openaire   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Double Dummy Design for Blinding Studies With Automated Insulin Delivery Systems: A Proof of Concept Trial. [PDF]

J Diabetes Sci Technol
Tirosh A, Benedetti A, Peltz-Sinvani N, Laron-Hirsh M, Cohen Y, Jabarin A, Grosman B, Cohen O.   +7 more
europepmc   +1 more source

Energy management system for automated driving

, 2019
With increasing levels of driving automation, the responsibility for the vehicle control and passengers’ safety is shifted from the driver towards the automation system. This results in increased reliability and safety requirements for the subsystems involved in the automated vehicle motion. In case of a safety-critical failure, an automated transition
openaire   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Neural signatures of engagement in driving: comparing active control and passive observation. [PDF]

Front Neurosci
Li Z, Kambara H, Koike Y.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Highly automated driving: the role of visuo-attentional and executive abilities in take-over success. [PDF]

Front Psychol
Schnebelen D, Mars F, Charron C, Mecheri S, Lobjois R.   +4 more
europepmc   +1 more source