Figure 1band1cshow that when the conducting plates are placed perpendicular to the direction of the glass weave, the E-fields align with the x or y axis and are in-plane. Even though there might be slight varia
the system-level simulator that operates within the Cadence AWR Design Environment platform. The simulator provides full system performance as a function of steered-beam direction, inclusive of the antenna design and the active and passive circuit elements used to implem...
An unresolved issue in contemporary biomedicine is the overwhelming number and diversity of complex images that require annotation, analysis and interpretation. Recent advances in Deep Learning have revolutionized the field of computer vision, creating a
Building resilience into today’s complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics and cyber-threats. This study proposes quantitative measures that capture
Technical notes: respond to material published in the journal or closely related topics, repair a flaw in the definition and approach or stimulate further thinking, or provide additional technical details on a CAD theory, technology, methodology, product or application. Dataset papers: discuss creation...
analysis and evaluate the alternatives. This all takes place in a fraction of the time that it normally takes you to manually arrive at one or two best-guess approximations. In the other scenario, you sit down and manually calculate how your design parameters impact other aspects of the ...
The molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exhaustive DNA sequence design algorithm that allows to generate sets containing a maximum number ...
Full size image Results Multi-objective active learning algorithm We applied the GAD-MALL approach to a multi-property optimization problem with clinical importance—bone grafting implants. Bone is a typical architected material primarily consisting of cortical and cancellous parts, with the elastic modulu...
Durable interfacing of hard and soft materials is a major design challenge caused by the ensuing stress concentrations. In nature, soft-hard interfaces exhibit remarkable mechanical performance, with failures rarely happening at the interface. Here, we m
nList of papers about Protein Design using Deep Learning This repository is inspired by the remarkable work of Kevin Kaichuang Yang and their outstanding project Machine-learning-for-proteins. We have established this repository to provide a specialized and focused platform for the field of Deep Learn...