Results 71 to 80 of about 366,700 (189)

Path Integral Spin Dynamics for Quantum Paramagnets

Advanced Physics Research, EarlyView.
The study has developed a path integral method, which is a classical approach, combined with atomistic spin dynamics simulations to calculate thermal quantum expectation values. This method can handle Hamiltonians with non‐linear terms, which are important for describing uniaxial anisotropies and mechanical constraints.
Thomas Nussle, Pascal Thibaudeau, Stam Nicolis   +2 more
wiley   +1 more source

Wearable Biomonitoring with 2D Carbon‐Based Nanocomposite Hydrogels

Advanced Physics Research, EarlyView.
This review critically examines recent advancements in nanocomposite hydrogels, emphasizing the reinforcement mechanisms offered by 2D carbon‐based nanomaterials and exploring the various applications of these hydrogels. Furthermore, it discusses the current challenges and potential avenues for future development and practical implementation of ...
Ning Li, Xiao Xiao, Yu Li, Ruobing Cheng, Junyi Yin, Hulin Zhang, Jun Chen   +6 more
wiley   +1 more source

Quantum Anomalies in Condensed Matter

Advanced Physics Research, EarlyView.
Quantum materials provide a fertile ground in which to test and realize quantum anomalies predicted by quantum field theory. Quantum anomalies need to be canceled globally, however, quantum states with a quantum anomaly can exist at the boundary of topological materials.
Michael T. Pettes, Shi‐Zeng Lin, Elizabeth A. Peterson, Jian‐Xin Zhu, Laurel E. Winter, Johanna C. Palmstrom, Jinkyoung Yoo, Nicholas S. Sirica, Prashant Padmanabhan, Priscila F. S. Rosa, Sean M. Thomas, Avadh Saxena   +11 more
wiley   +1 more source

A view from the President of the Indian Biophysical Society. [PDF]

Biophys Rev, 2023
Rao M.
europepmc   +1 more source

Recent Advances in Nitride‐Based Micro‐LEDs for Next‐Generation Display

Advanced Physics Research, EarlyView.
Nitride‐based Micro‐light‐emitting diode (Micro‐LED) is now spreading into the field of display technology, which has been dominated by liquid crystal display (LCD) and organic LED (OLED). This review focuses on recent developments in Micro‐LED display, including epitaxy and chip processing, mass transfer, driving, bonding, and detection technologies ...
Jiahao Song, Jingjing Jiang, Minhua Li, Qianxi Zhou, Linyue Meng, Ke Sun, Siyuan Cui, Kuosheng Wen, Sheng Liu, Shengjun Zhou   +9 more
wiley   +1 more source

Sloppiness Consistency in Biomechanical Models and Its Inspired Dual‐Space Model Optimization

Advanced Physics Research, EarlyView.
This study addresses the challenge of balancing complexity, accuracy, and parameter identifiability in soft tissue constitutive modeling. By leveraging information geometry and sensitivity analysis, the sloppiness inherent in biomechanical models is revealed, and a model reduction framework is proposed. This approach optimizes parameter identifiability
Jiabao Tang, Wenyang Liu, Yiqi Mao, Shujuan Hou   +3 more
wiley   +1 more source

Observation of the Impact of Dislocations on Atomic Polarization and Domain Structures in BaTiO3

Advanced Physics Research, EarlyView.
Dislocations in ferroelectric BaTiO3 are investigated using in situ electric field TEM, solid‐state NMR, and synchrotron X‐ray diffraction. The study shows that dislocations modulate local atomic polarization and influence domain evolution by acting as nucleation sites and pinning centers for domain walls.
Shan Xiang, Yan Zhang, Miao Song, Edoardo Zatterin, Hanyu Gong, Fangping Zhuo, Kechao Zhou, Dou Zhang   +7 more
wiley   +1 more source

Decoding regulatory programs underlying placode and dermal condensate cell fate commitment during hair follicle induction via single‐cell multi‐omics analysis

Animal Research and One Health, EarlyView.
The experimental framework of the study encompasses sample collection, single‐cell data analysis, and experimental validation. Abstract Understanding differences in chromatin state and changes in gene regulatory landscape of placode (Pc) and dermal condensate are crucial for decoding hair follicle (HF) morphogenesis programs.
Fang Li, Minghao Li, Tongtong Zhang, Menghua Sui, Hasan Khatib, Xin Wang   +5 more
wiley   +1 more source

Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using SDSS DR17)

Astronomische Nachrichten, EarlyView.
ABSTRACT Classification of galaxies, stars, and quasars using spectral data is fundamental to astronomy, but often relies heavily on redshift. This study evaluates the performance of 10 machine learning algorithms on SDSS data to classify these objects, with a particular focus on scenarios where redshift information is unavailable.
Debashis Chatterjee, Prithwish Ghosh
wiley   +1 more source

Reducing formaldehyde emissions and enhancing performance of particleboards through the incorporation of activated carbon produced from Scots pine wood residues

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Wood‐based composite boards present a problem due to formaldehyde emissions from engineered particleboard, which pose health and environmental risks. This study explored the production of activated carbon (AC) from Scots pine (Pinus sylvestris) wood residues using phosphoric acid (H3PO4) as a chemical activator.
Mehmet Emin Ergun, Filiz Koyuncu, Abdullah Istek, İsmail Özlüsoylu   +3 more
wiley   +1 more source