Results 81 to 90 of about 84,089 (265)

On‐Demand Activation of Thin Alginate Shell Encapsulated Volatile Liquid for Untethered Pneumatic Soft Actuation

Advanced Engineering Materials, EarlyView.
Phase‐changing liquids enable untethered pneumatic actuation in soft robotics but suffer from volatility and storage challenges. This work reports a simple method to encapsulate Novec 7000 within micron‐thin alginate shells via in situ injection and ionic crosslinking.
Rayan A. M. Basodan, Jack Keddie, Byoungyoul Park, Hyun‐Joong Chung   +3 more
wiley   +1 more source

Population of Nonmetallic Inclusions in Liquid High‐Silicon Electrical Steel in Contact With MgO–C Refractories Based on Recyclates and Environmentally Friendly Binders

Advanced Engineering Materials, EarlyView.
The formation of nonmetallic inclusions (NMIs) was investigated in this study, carrying out immersion tests for 30 min at a temperature of 1600°C with liquid high‐silicon electrical steel (Si ≈ 3 mass‐%) and different MgO–C refractories. Conventional MgO–C refractories were considered, as well as MgO–C refractories containing MgO–C recyclate and ...
Lukas Neubert, Matheus Roberto Bellé, Florian Kerber, Dinesh Kumar Gunasekar, Hans‐Jörn Weddige, Christos G. Aneziris, Olena Volkova   +6 more
wiley   +1 more source

Ionospheric Radio Beacon Signal Analysis and Parameter Estimation Using Automatic Differentiation

Journal of Geophysical Research: Machine Learning and Computation
Continuous wave signals from a network of high frequency (HF) beacons in Peru and other instruments are used to reconstruct the regional ionospheric electron number density in the volume surrounding the network. The continuous wave (CW) HF signals employ
Jhassmin A. Aricoche, David L. Hysell
doaj   +1 more source

Automatic Differentiation Variational Inference

, 2016
Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis, and repeats. However, fitting complex models to large data is a bottleneck in this process. Deriving algorithms for new models can be both mathematically and computationally challenging, which makes it difficult to ...
Kucukelbir, Alp, Tran, Dustin, Ranganath, Rajesh, Gelman, Andrew, Blei, David M.   +4 more
openaire   +2 more sources

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Qualitative and quantitative enhancement of parameter estimation for model-based diagnostics using automatic differentiation with an application to inertial fusion

Machine Learning: Science and Technology
Parameter estimation using observables is a fundamental concept in the experimental sciences. Mathematical models that represent the physical processes can enable reconstructions of the experimental observables and greatly assist in parameter estimation ...
A L Milder, A S Joglekar, W Rozmus, D H Froula   +3 more
doaj   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source

Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows

Journal of Geophysical Research: Machine Learning and Computation
Full waveform inversion (FWI) is able to construct high‐resolution subsurface models by iteratively minimizing discrepancies between observed and simulated seismic data.
Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li   +3 more
doaj   +1 more source