Results 151 to 160 of about 2,659,274 (336)

Accurate hyperfine tensors for solid state quantum applications: case of the NV center in diamond

Communications Physics
The decoherence of point defect qubits is often governed by the electron spin-nuclear spin hyperfine interaction that can be parameterized by using ab inito calculations in principle.
István Takács, Viktor Ivády
doaj   +1 more source

Fast Distortion Measurement Using Chord-Length Parameterization Within the Vertex-Based Rate-Distortion Optimal Shape Coding Framework [PDF]

, 2007
Ferdous Sohel, Gour Karmakar, Laurence S. Dooley   +2 more
openalex   +1 more source

Whole‐bone shape of hominoid manual proximal phalanges

The Anatomical Record, EarlyView.
Abstract Functional morphologists have long noted that skeletal adaptations in primate phalanges reflect locomotor behavior. While most studies have successfully used two‐dimensional measurements to quantify general features of phalanx shape, a whole‐bone three‐dimensional analysis may better capture more subtle aspects of phalanx morphology that have ...
Deanna M. Goldstein, Christine M. Harper, Megan Solís, Caley M. Orr, Sergio Almécija, Matthew W. Tocheri, Tea Jashashvili, Biren A. Patel   +7 more
wiley   +1 more source

Functional models from limited data: A parametric and multimodal approach to anatomy and 3D kinematics of feeding in basking sharks (Cetorhinus maximus)

The Anatomical Record, EarlyView.
Abstract Basking sharks, Cetorhinus maximus (Gunnerus, Brugden [Squalus maximus], Det Kongelige Norske Videnskabers Selskabs Skrifter, 1765, vol. 3, pp. 33–49), feed by gaping their mouths and gill slits, greatly reorienting their cranial skeletons to filter food from water.
Tairan Li, Mike Schindler, Martha Paskin, Venkata A. Surapaneni, Elliott Scott, Sabine Hauert, Nicholas Payne, David E. Cade, Jeremy A. Goldbogen, Frederik H. Mollen, Daniel Baum, Sean Hanna, Mason N. Dean   +12 more
wiley   +1 more source

Automated Hardware Design Methodology for Digital Filters With High-Level Synthesis

IEEE Access
The increasing complexity of digital hardware systems and the demand for faster time-to-market for the semiconductor industry require a rapid and flexible design strategy at an increased abstraction level.
Shehryar Akbar, Luciano Lavagno, Mihai T. Lazarescu, Davide Mariz   +3 more
doaj   +1 more source

JWST Imaging of the Closest Globular Clusters—VI. The Lowest‐Mass Objects in M 4 and the Galactic Bulge

Astronomische Nachrichten, EarlyView.
ABSTRACT We present James Webb Space Telescope observations of M 4—the closest globular cluster—that probe the lower Main Sequence down to the hydrogen‐burning limit. The unveiled stellar sequence reaches much fainter luminosities than previously possible, revealing a few extremely red objects that are consistent with brown dwarfs as cool as Teff∼1000K$
L. R. Bedin, R. Gerasimov, A. Calamida, M. Libralato, M. Scalco, D. Nardiello, M. Griggio, D. Apai, J. Anderson, A. Bellini, A. Burgasser   +10 more
wiley   +1 more source

Marker‐Free Traceability in Battery Production from Continuous Electrode Foils to Cell‐Specific Individual Electrode Segments

Batteries &Supercaps, EarlyView.
100% marker‐free traceability of electrode material through production is possible with Track & Trace Fingerprint. Direct linkage of process parameters with material surfaces enables reliable tracing even after material segmentation. Successful validation tests confirm great feasibility for the most common carrier and coating materials aluminum, copper,
David J. Regina, Günther Riexinger, Tobias Schmid‐Schirling, Inga Landwehr, Lars Rödel, Alexander Sauer, Daniel Carl   +6 more
wiley   +1 more source

Human‐Centered Holographic Assistant using Computer Vision to Interact with Battery Manufacturing Machinery in a Predictive Manner

Batteries &Supercaps, EarlyView.
Human‐centered solution composed of a HoloLens app (client) and a Server app to predict resulting electrode properties in real time as the user manipulates the machinery (calendering in this case). This work focuses on a novel human‐centered digital assistant combining Mixed Reality (MR), Computer Vision, and Machine Learning regression to guide ...
Diego E. Galvez‐Aranda, Soorya Saravanan, Alejandro A. Franco   +2 more
wiley   +1 more source

Data and Codes for Evaluating and Improving Scale-Awareness of a Convective Parameterization Closure Using Cloud-Resolving Model Simulations of Convection

, 2021
Xu Wang, Guang J. Zhang
openalex   +2 more sources

Surrogate Modeling of Lithium‐Ion Battery Electrode Manufacturing by Combining Physics‐Based Simulation and Deep Learning

Batteries &Supercaps, EarlyView.
From cathode formulation to dried electrode: a hybrid digital model integrates physics‐based simulations with deep learning to predict Li‐ion cathode electrode microstructure, offering a powerful tool to accelerate battery design and optimization. Optimizing the manufacturing process of Lithium‐Ion Batteries (LIB.
Utkarsh Vijay, Francisco Fernandez, Siwar Ben Hadj Ali, Mark Asch, Alejandro A. Franco   +4 more
wiley   +1 more source