Performing mathematical operations with metamaterials.

Science

Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

Published: January 2014

AI Article Synopsis

  • Metamaterial analog computing involves specially designed materials that can perform complex mathematical operations on waves as they move through them.
  • Two primary methods are suggested: using metascreens with graded-index waveguides and multilayered slabs that create specific spatial responses.
  • These approaches could lead to compact and efficient computing systems that are much thinner than traditional optical processors.

Article Abstract

We introduce the concept of metamaterial analog computing, based on suitably designed metamaterial blocks that can perform mathematical operations (such as spatial differentiation, integration, or convolution) on the profile of an impinging wave as it propagates through these blocks. Two approaches are presented to achieve such functionality: (i) subwavelength structured metascreens combined with graded-index waveguides and (ii) multilayered slabs designed to achieve a desired spatial Green's function. Both techniques offer the possibility of miniaturized, potentially integrable, wave-based computing systems that are thinner than conventional lens-based optical signal and data processors by several orders of magnitude.

Download full-text PDF

Source
http://dx.doi.org/10.1126/science.1242818DOI Listing

Publication Analysis

Top Keywords

mathematical operations
8
performing mathematical
4
operations metamaterials
4
metamaterials introduce
4
introduce concept
4
concept metamaterial
4
metamaterial analog
4
analog computing
4
computing based
4
based suitably
4

Similar Publications

Background: Specific pelvic bone dimensions have been identified as predictors of total mesorectal excision (TME) difficulty and outcomes. However, manual measurement of these dimensions (pelvimetry) is labor intensive and thus, anatomic criteria are not included in the pre-operative difficulty assessment. In this work, we propose an automated workflow for pelvimetry based on pre-operative magnetic resonance imaging (MRI) volumes.

View Article and Find Full Text PDF

Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations.

Sci Rep

January 2025

Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, 80230-901, Brazil.

Modeling the Digital Twin (DT) is an important resource for accurately representing the physical entity, enabling it to deliver functional services, meet application requirements, and address the disturbances between the physical and digital realms. This article introduces the Log Mean Kinematics Difference Synchronization (SyncLMKD) to measure the kinematic variations distributed among Digital Twin elements to ensure symmetric values relative to a reference. The proposed method employs abductive reasoning and draws inspiration from the Log Mean Temperature Difference (LMTD).

View Article and Find Full Text PDF

Collision detection method for anchor digging machine water drilling rig.

Sci Rep

January 2025

Institute of Mineral Resources Exploitation and Utilization Technology and Equipment, Liaoning Technical University, Fuxin, 123000, Liaoning, China.

Loading water drilling rig on the anchor digging machine can effectively increase the tunneling efficiency. In order to avoid the interference between the water drilling rig and the anchor machine in the working process, it is necessary to calculate the joint variables of the drilling rig accurately. Using the robot kinematics analysis method, the kinematics model of the system is established.

View Article and Find Full Text PDF

Determination of parathyroid function after total thyroidectomy by objective analysis of its fluorescence intensity with indocyanine green using purpose developed computer software.

Curr Probl Surg

January 2025

General and Digestive Surgery Service, Son Espases University Hospital, Palma, Balearic Islands, Spain; Advanced Oncological Surgery, m-HEALTH and Surgical Technological Research Group. Health Research Institute of the Balearic Islands (IdISBa), Palma, Balearic Islands, Spain; Department of Medicine, University of Balearic Islands (UIB), Palma, Balearic Islands, Spain.

View Article and Find Full Text PDF

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a step toward molecular subtype application in the clinic.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!