AIMC Topic: Silicon

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Setting Up a Surface-Enhanced Raman Scattering Database for Artificial-Intelligence-Based Label-Free Discrimination of Tumor Suppressor Genes.

Analytical chemistry Dec 4, 2018
The quality of input data in deep learning is tightly associated with the ultimate performance of the machine learner. Taking advantage of the unique merits of surface-enhanced Raman scattering (SERS) methodology in the collection and construction of...
Silver Tumor Suppressor Protein p53 Tumor Suppressor Proteins DNA Metal Nanoparticles Silicon Lab-On-A-Chip Devices Databases, Factual Spectrum Analysis, Raman Artificial Intelligence
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Perturbation Theory-Machine Learning Study of Zeolite Materials Desilication.

Journal of chemical information and modeling Sep 7, 2018
Zeolites are important materials for research and industrial applications. Mesopores are often introduced by desilication but other properties are also affected, making its optimization difficult. In this work, we demonstrate that Perturbation Theory...
Machine Learning Zeolites Monte Carlo Method Silicon Computer Simulation Models, Molecular Surface Properties
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Robotic Patterning a Superhydrophobic Surface for Collective Cell Migration Screening.

Tissue engineering. Part C, Methods Mar 27, 2018
Collective cell migration, in which cells migrate as a group, is fundamental in many biological and pathological processes. There is increasing interest in studying the collective cell migration in high throughput. Cell scratching, insertion blocker,...
Robotics Human Umbilical Vein Endothelial Cells Bone Neoplasms Printing, Three-Dimensional Silicon Cell Tracking Nanotechnology Hydrophobic and Hydrophilic Interactions Humans Cells, Cultured Cell Survival Osteosarcoma Cell Movement
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Mimicking Biological Synaptic Functionality with an Indium Phosphide Synaptic Device on Silicon for Scalable Neuromorphic Computing.

ACS nano Jan 17, 2018
Neuromorphic or "brain-like" computation is a leading candidate for efficient, fault-tolerant processing of large-scale data as well as real-time sensing and transduction of complex multivariate systems and networks such as self-driving vehicles or I...
Indium Phosphines Biomimetic Materials Bionics Semiconductors Silicon Neural Networks, Computer Biomimetics Crystallization Equipment Design Synapses
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Fast and Sensitive Ellipsometry-Based Biosensing.

Sensors (Basel, Switzerland) Dec 22, 2017
In this work, a biosensing method based on in situ, fast, and sensitive measurements of ellipsometric parameters (, ∆) is proposed. Bare silicon wafer substrate is functionalized and used to bind biomolecules in the solution. Coupled with a 45° dual-...
Silicon Immunoglobulin G Biosensing Techniques
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Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations.

ACS nano Dec 14, 2017
Recent advances in scanning transmission electron and scanning probe microscopies have opened exciting opportunities in probing the materials structural parameters and various functional properties in real space with angstrom-level precision. This pr...
Humans Particle Size Graphite Deep Learning Microscopy, Electron, Scanning Transmission Silicon Surface Properties
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A neural network based computational model to predict the output power of different types of photovoltaic cells.

PloS one Sep 12, 2017
In this article, we introduced an artificial neural network (ANN) based computational model to predict the output power of three types of photovoltaic cells, mono-crystalline (mono-), multi-crystalline (multi-), and amorphous (amor-) crystalline. The...
Power Plants Silicon Crystallization Neural Networks, Computer Solar Energy
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Optogenetics in Silicon: A Neural Processor for Predicting Optically Active Neural Networks.

IEEE transactions on biomedical circuits and systems Aug 17, 2016
We present a reconfigurable neural processor for real-time simulation and prediction of opto-neural behaviour. We combined a detailed Hodgkin-Huxley CA3 neuron integrated with a four-state Channelrhodopsin-2 (ChR2) model into reconfigurable silicon h...
Silicon Neural Networks, Computer Ion Channels Optogenetics Models, Neurological
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A scalable, high resolution strain sensing matrix suitable for tactile transduction.

Journal of biomechanics Dec 8, 2015
The integration of tactile information, such as contact area, displacement magnitude, velocity, and acceleration, is paramount to the optimization of robotics in human-centric environments. Cost effective embeddable sensors with scalable receptive fi...
Touch Transducers Robotics Tensile Strength Mechanical Phenomena Equipment Design Humans Prosthesis Design Materials Testing Silicon
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Indirect learning and physically guided validation of interatomic potential models.

The Journal of chemical physics Sep 14, 2022
Machine learning (ML) based interatomic potentials are emerging tools for material simulations, but require a trade-off between accuracy and speed. Here, we show how one can use one ML potential model to train another: we use an accurate, but more co...
Machine Learning Computer Simulation Silicon
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