22 papers · ranked by Valyu relevance
G. Alvarado Barrios, J. C. Retamal, E. Solano, M. Sanz
An analog computer makes use of continuously changeable quantities of a system, such as its electrical, mechanical, or hydraulic properties, to solve a given problem. While these devices are usually computationally more powerful than their digital counterparts, they suffer from analog noise which does not allow for…
G. Alvarado Barrios, J. C. Retamal, E. Solano, Mikel Sanz
An analog computer makes use of continuously changeable quantities of a system, such as its electrical, mechanical, or hydraulic properties, to solve a given problem. While these devices are usually computationally more powerful than their digital counterparts, they suffer from analog noise which does not allow for…
Iñigo Arrazola, Julen S. Pedernales, Lucas Lamata, Enrique Solano
We propose a method to simulate spin models in trapped ions using a digital-analog approach, consisting in a suitable gate decomposition in terms of analog blocks and digital steps. In this way, we show that the quantum dynamics of an enhanced variety of spin models could be implemented with substantially less number…
N. Ngada
The complexity and cost of building and running high-power electrical systems make the use of simulations unavoidable. The simulations available today provide great understanding about how systems really operate. This paper helps the reader to gain an insight into simulation in the field of power converters for…
Chao Geng, Qingji Sun, Shigetoshi Nakatake
Perceptron is an essential element in neural network (NN)-based machine learning, however, the effectiveness of various implementations by circuits is rarely demonstrated from chip testing. This paper presents the measured silicon results for the analog perceptron circuits fabricated in a 0.6 $μ$m/±2.5 V complementary…
Ernesto V. Gonzalez-Solis, David I. Rosas-Almeida
This work presents an open-source Electronic Mass-Spring-Damper (EMSD) emulator designed to reproduce the dynamic behavior of a second-order mechanical system in continuous-time and real-time operation. The proposed hardware emulates both linear dynamics and nonlinear effects commonly encountered in practical systems…
Naima Thahsin, Khairul Islam Khan, Mohammad Nazmus Sakib, Mohammad Shahedur Rahman
The capability of human erythropoietin (hEPO) to treat anemia by stimulating erythropoiesis, has made it become one of the world’s leading biopharmaceuticals. An effective way to improve the efficiency of recombinant hEPO drugs is increasing glycosylation which can increase its serum half-life and thereby it’s in vivo…
Javier Alejandro Martínez-Nieto, Nicolás Medrano-Marqués, María Teresa Sanz-Pascual, Belén Calvo-López
For current microelectronic integrated systems, the design methodology involves different steps that end up in the full system simulation by means of electrical and physical models prior to its manufacture. However, the higher the circuit complexity, the more time is required to complete these simulations, jeopardizing…
Ben Varkey Benjamin, Nicholas A Steinmetz, Nick N Oza, Jose J Aguayo + 1 more
A central challenge for systems neuroscience and artificial intelligence is to understand how cognitive behaviors arise from large, highly interconnected networks of neurons. Digital simulation is linking cognitive behavior to neural activity to bridge this gap in our understanding at great expense in time and…
Ryan C. Kennedy, Meir Marmor, Ralph Marcucio, C. Anthony Hunt
A significant portion of bone fractures fail to heal properly, increasing healthcare costs. Advances in fracture management have slowed because translational barriers have limited generation of mechanism-based explanations for the healing process. When uncertainties are numerous, analogical modeling can be an effective…
Bernd Ulmann
—Many people think of analog computing as a historic dead-end in computing. In fact, nothing could be further from the truth as analog computing – together with quantum computing – has the potential to bring computing to new levels with respect to raw computational power and energy efficiency. The following paper…
Victor Lazzarini, Joseph Timoney
This paper re-appraises the role of analogue computers within electronic and computer music and provides some pointers to future areas of research. It begins by introducing the idea of analogue computing and placing in the context of sound and music applications. This is followed by a brief examination of the classic…
L. F. Goodrich, A. N. Srivastava, T. C. Stauffer
The superconductor simulator is an electronic circuit that emulates the extremely nonlinear voltage-current characteristic (the basis of a critical-current measurement) of a superconductor along with its other major electrical properties. Three different types of simulators have been constructed: the passive, active…
Junwen Luo
Neural ptosthetic devices offer the ability to develop novel treatments for previously incurable diseases and ailments, such as deafness, blindness and tetraplepia. There is the potential to extend this concept to incorporate cognitive prosthetics, whereby damaged individual neuron cells or larger brain regiops are…
Authors not listed
Machine Learning Interatomic Potentials (MLIPs), trained with Quantum Mechanics data, can model potential energy surfaces for molecular systems with very high accuracy and extreme speedups compared to reference quantum calculations, offering a powerful tool for studying complex chemical and biological systems. This…
Romain Beaubois, Jérémy Cheslet, Tomoya Duenki, Farad Khoyratee + 3 more
Characterization and modeling of biological neural networks has emerged as a field driving significant advancements in our understanding of brain function and related pathologies. As of today, pharmacological treatments for neurological disorders remain limited, pushing the exploration of promising alternative…
Giorgos Minas, David A Rand
In order to analyse large complex stochastic dynamical models such as those studied in systems biology there is currently a great need for both analytical tools and also algorithms for accurate and fast simulation and estimation. We present a new stochastic approximation of biological oscillators that addresses these…
Noa Edri Fraiman, Barak Sabbagh, Gilad Yossifon, Alexander Fish
Design, Simulation, and Integration of Iontronic Components Authors: ['Noa Edri Fraiman' 'Barak Sabbagh' 'Gilad Yossifon' 'Alexander Fish'] Iontronics combines ions as charge carriers with electronic-like operations, enabling unique information processing, chemical regulation, and enhanced bio-integrability. Standard…
Authors not listed
Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applica-tions in biological imaging. Traditional ECL simulations rely on finite element methods, which provide valuable insights into reaction dynamics and spatial distribution of species. However, such methods are…
Nicolai Machholdt Høyer, Ove Christiansen
We present a new quasi-direct quantum molecular dynamics computational method which offer a compromise between quantum dynamics using a pre-computed potential energy surface (PES) and fully direct quantum dynamics. This method is termed the time-dependent adaptive density-guided approach (TD-ADGA) and is a method for…
Daniel Sacristán, Sebastian Jenderny, Philipp Hövel, Christian Albers + 2 more
This work presents a digital twin of the nematode Caenorhabditis elegans (C. elegans), an organism whose biology has been extensively studied. The digital twin can emulate neuronal activity and the corresponding muscle activity, and performs basic locomotion movement. The underlying mathematical model of C. elegans can…
Alice Allen, Michael J. Robertson, Michael C. Payne, Daniel Cole
Molecular mechanics force field parameters for macromolecules, such as proteins, are traditionally fit to reproduce experimental properties of small molecules, and thus they neglect system-specific polarization. In this paper, we introduce a complete protein force field that is designed to be compatible with the…