Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Influence of Inter-Implant Distance on the Marginal Fit of Milled Structures and Virtual Model Trueness: In Vitro Study. [PDF]
Rocha LLR +6 more
europepmc +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Influence of the Milling Strategy on the Marginal Fit of Chairside-Fabricated Lithium Disilicate Crowns. [PDF]
Berger L +6 more
europepmc +1 more source
FIT Soul Fashion Show: 1983 part 1
The FIT Soul Club presents the 1983 Soul Fashion Show. Featuring work by student designers Berton Ridley, Brenda Evans, Leyland Michael, Laurie Barr, David Signley, Adrienne Jones, Brian Lane, Marva Patterson, Brian Lynch, Dhondi Burrell, David Emmett ...
core
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
Impact of implant abutment materials on force damping response and marginal fit of implant supported restoration. [PDF]
Elmesery AMH, Korsel AM, Elshahawy W.
europepmc +1 more source
FIT Soul Fashion Show: 1983 part 2
The FIT Soul Club presents the 1983 Soul Fashion Show. Featuring work by student designers and alumni Roger Hinds, Jurvis Jarvis, Cheryl Williams, Keith Martin and Alexander Young as Young Martin, Ron Chew, Cheryl McKenzie, Sherri Hobson, Steve Cutting ...
core
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Evaluation and Comparison of the Precision of Dental Implant Impressions and the Marginal Fit of Crowns Using Conventional and Digital Methods: A Clinical Study. [PDF]
Joshi B +6 more
europepmc +1 more source

