Results 201 to 210 of about 3,621,297 (302)

Insight into the Internal Structure of Biogenic, Synthetic and Geological Apatite by Electron Microscopy and X‐Ray Scattering

Advanced Functional Materials, EarlyView.
Apatite occurs in many forms in nature, e.g. in teeth and geological minerals. Internally, biological apatite contains nanocrystals that are also found in synthetically prepared calcium phosphate nanoparticles which are used in biomedicine, e.g. for gene and drug delivery and for bone regeneration. Abstract Calcium phosphate is the inorganic component (
Kathrin Kostka, Oleg Prymak, Kateryna Loza, Matthias Epple   +3 more
wiley   +1 more source

Coexistence of entanglement-based quantum channels with DWDM classical channels over hollow core fibre in a four node quantum communication network. [PDF]

npj Quantum Inf
Clark MJ, Alia O, Bahrani S, Jasion GT, Sakr H, Petropoulos P, Poletti F, Kanellos GT, Rarity J, Nejabati R, Joshi SK, Wang R, Simeonidou D.   +12 more
europepmc   +1 more source

Probability in Classical Statistical Mechanics [PDF]

Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 2003
openaire   +3 more sources

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

Quantum informative analysis for weather of San Francisco. [PDF]

Sci Rep
Kotb Y, Youssef AA, Nassr DI, Bahig HM.
europepmc   +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

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

Advancing Machine Learning Strategies for Power Consumption-Based IoT Botnet Detection. [PDF]

Sensors (Basel)
Wakili AA, Guni S, Khan SA, Yu W, Jung W.   +4 more
europepmc   +1 more source

Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework

Advanced Functional Materials, EarlyView.
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim, Namhee Kwon, Sang Woo Park, Wonsik Kim, Seunghwan Kim, Eunki Yoon, Aelim Ha, Donggyu Lee, Young Yong Kim, Jong‐Cheol Lee, Sungho Lee, Junghan Lee, Kyu Hyoung Lee, Yeonjin Yi, Ki‐Ha Hong, Soohyung Park   +15 more
wiley   +1 more source

From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc   +1 more source