Results 71 to 80 of about 3,058 (206)

Intra-oral scanning and CAD/CAM prosthesis fabrication

open access: yesAnnali di Stomatologia, 2018
The acronym Cad-Cam stands for Computer-Aided Design and Computer-Aided Manufacturing. In 1970, Dr. Francois Duret and his colleagues were the first to develop a Cad-Cam dental system, later named the Sopha system (Sopha BioConcept, Inc. Los Angeles). In
Enrico Moglioni   +7 more
doaj   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Hyper-Data: A Matlab based optimization software for data-driven hyperelasticity

open access: yesSoftwareX
In this work, a parameter identification software for the data-driven hyperelasticity frameworks proposed by Dal et al. (Journal of the Mechanics and Physics of Solids 179, 105381, 2023), and Tikenoğullarıet al.
Recep Durna   +3 more
doaj   +1 more source

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun   +6 more
wiley   +1 more source

Ionic Elastomer Interface for Low‐Pressure and Durable All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work reports an ionically conductive elastomer that enables stable all‐solid‐state batteries(ASSBs)under low external pressure. The soft elastomeric matrix, integrated with a LiG3‐based conductive phase(lithium bis(trifluoromethanesulfonyl)imide and triethylene glycol dimethyl ether), simultaneously delivers high ionic conductivity and mechanical ...
Jiaxu Zhang   +15 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

open access: yesAdvanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto   +3 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Rationale for the Use of CAD/CAM Technology in Implant Prosthodontics

open access: yesInternational Journal of Dentistry, 2013
Despite the predictable longevity of implant prosthesis, there is an ongoing interest to continue to improve implant prosthodontic treatment and outcomes.
Jaafar Abduo, Karl Lyons
doaj   +1 more source

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