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Holographic MIMO refers to a (possibly large) array with a large number of individually controlled and densely deployed antennas. The objective of this paper is to provide further insight into the use of closely spaced antennas in the…

Information Theory · Computer Science 2024-03-20 Antonio Alberto D'Amico , Luca Sanguinetti

The aim of this paper is to deal with multi-physics simulation of micro-electro-mechanical systems (MEMS) based on an advanced numerical methodology. MEMS are very small devices in which electric as well as mechanical and fluid phenomena…

Other Computer Science · Computer Science 2007-11-29 V. Rochus , J. -C. Golinval , C. Louis , C. Mendez , I. Klapka

Memristive systems, namely resistive systems with memory, are attracting considerable attention due to their ubiquity in several phenomena and technological applications. Here, we show that even the simplest one-dimensional network formed…

Disordered Systems and Neural Networks · Physics 2013-03-01 Y. V. Pershin , V. A. Slipko , M. Di Ventra

Persistent Memory (PMem), as already available, e.g., with Intel Optane DC Persistent Memory, represents a very promising, next-generation memory solution with a significant impact on database architectures. Several data structures for this…

Databases · Computer Science 2020-06-15 Philipp Götze , Arun Kumar Tharanatha , Kai-Uwe Sattler

Heterogeneous magnetic superconducting systems (HMSS) represent a new class of nanostructures. They are made of ferromagnetic (FM) and superconducting (SC) pieces separated by thin layers of insulating oxides. In contrast to the case of a…

Superconductivity · Physics 2007-05-23 Serkan Erdin

Two-dimensional (2D) materials like transition metal dichalcogenides (TMD) have proved to be serious candidates to replace silicon in several technologies with enhanced performances. In this respect, the two remaining challenges are the…

The architecture of novel metallic mesostructures obtained via self-organization of growing nanowires has been investigated. Seashell, fungus and lotus leafshaped structures are reproducibly formed by programmable pulse current…

Materials Science · Physics 2014-08-01 G. K. Strukova , G. V. Strukov , S. V. Egorov , A. Mazilkin , I. I. Khodos , S. A. Vitkalov

Long range order and symmetry in heterogeneous materials architected on crystal lattices lead to elastic and inelastic anisotropies and thus limit mechanical functionalities in particular crystallographic directions. Here, we present a…

Soft Condensed Matter · Physics 2025-11-17 Jehoon Moon , Gisoo Lee , Jaehee Lee , Hansohl Cho

Nature provides examples of self-assemble lightweight disordered network structures with remarkable mechanical properties which are desirable for many applications purposes but challenging to reproduce artificially. Previous experimental…

Soft Condensed Matter · Physics 2019-03-27 Daniel Rayneau-Kirkhope , Silvia Bonfanti , Stefano Zapperi

We briefly review the concept and properties of the Thick GEM (THGEM); it is a robust, high-gain gaseous electron multiplier, manufactured economically by standard printed-circuit drilling and etching technology. Its operation and structure…

Instrumentation and Detectors · Physics 2008-12-18 A. Breskin , R. Alon , M. Cortesi , R. Chechik , J. Miyamoto , V. Dangendorf , J. Maia , J. M. F. Dos Santos

Advancement of molecular devices will critically depend on the approach to establish electrical connections to the functional molecule(s). We produced a molecular device strategy which is based on chemically attaching of molecules between…

Materials Science · Physics 2019-12-04 Pawan Tyagi

A memristor, a two-terminal nanodevice, has garnered substantial attention in recent years due to its distinctive properties and versatile applications. These nanoscale components, characterized by their simplicity of manufacture,…

Applied Physics · Physics 2025-02-20 Nikolaos Vasileiadis , Georgios Ch Sirakoulis , Panagiotis Dimitrakis

DenseNets have been shown to be a competitive model among recent convolutional network architectures. These networks utilize Dense Blocks, which are groups of densely connected layers where the output of a hidden layer is fed in as the…

Computer Vision and Pattern Recognition · Computer Science 2018-08-28 Joseph Chuang , Eric Tsai , Kevin Huang , Jay Fetter

Quality of the electrical contacts and interfaces in various metal/semiconductor/insulator heterostructures is one of the pivotal aspects in both applied and fundamental research areas. For instance, non-optimal contact resistance can limit…

Mesoscale and Nanoscale Physics · Physics 2023-11-20 Alexey A. Kaverzin , Bart J. van Wees , Eiji Saitoh

Microelectronic morphogenesis is the creation and maintenance of complex functional structures by microelectronic information within shape-changing materials. Only recently has in-built information technology begun to be used to reshape…

Robotics · Computer Science 2024-05-24 John S. McCaskill , Daniil Karnaushenko , Minshen Zhu , Oliver G. Schmidt

Density functional theory has become the world's favorite electronic structure method, and is routinely applied to both materials and molecules. Here, we review recent attempts to use modern machine-learning to improve density functional…

Computational Physics · Physics 2025-03-04 Ryosuke Akashi , Mihira Sogal , Kieron Burke

Scanning micro-mirror actuators are silicon-based oscillatory micro-electro-mechanical systems (MEMS). They enable laser distance measurements for automotive LIDAR applications as well as projection modules for the consumer market. For MEMS…

Mesoscale and Nanoscale Physics · Physics 2019-03-21 Ulrike Nabholz , Frank Schatz , Jan E. Mehner , Peter Degenfeld-Schonburg

Future cellular systems based on the use of above-6 GHz frequencies, the so-called millimeter wave (mmWave) bandwidths, will heavily rely on the use of antenna arrays both at the transmitter and at the receiver, possibly with a large number…

Information Theory · Computer Science 2016-10-25 Stefano Buzzi , Carmen D'Andrea

Potential Energy Surfaces (PESs) are an indispensable tool to investigate, characterise and understand chemical and biological systems in the gas and condensed phases. Advances in Machine Learning (ML) methodologies have led to the…

Chemical Physics · Physics 2025-11-04 Valerii Andreichev , Sena Aydin , Kai Töpfer , Markus Meuwly , Luis Itza Vazquez-Salazar

Strong control over experimental conditions in microfluidic channels provides a unique opportunity to study and optimize membraneless microbial fuel cells (MFCs), particularly with respect to the role of flow. However, improved performance…