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In this lecture, we present a historical overview of computational science. We describe modeling and simulation as forms of “theoretical experiments” and “experimental theory”. We also discuss nanoscience: “what makes nano nano?”, as well as public perceptions of nanoscience and the “grey goo” phenomenon. Finally, we describe the process of setting up a computer experiment: choosing your model, making relevant assumptions, and interpreting your resutls.UC Berkeley

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Fernanda Teixeira 1stNanda onto Molecular Dynamics

Computational Physics: Free ebook, opensource, openscience

Fist Edition of the textbook, using Fortran.

"Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing"  by Konstantinos N. Anagnostopoulos

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Tanya Faltens onto Open-Source Computational Texts

Computational Physics: Free ebook, opensource, openscience using C++ (2nd Ed.)

Links to Description of the text and differences from the first edition, and the text itself.

Textbook and Blog Post by Konstantinos N. Anagnostopoulos

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Tanya Faltens onto Open-Source Computational Texts

Nanoscale transistors 2006

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P L onto Selected

Very Important

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Poorna Marthi onto Course

Shaloo Rakheja on "The MVS Nanotransistor Model: A Case study in Compact Modeling"

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Poorna Marthi onto Modelling

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ahmad zubair onto lectures

In this talk, I use a simple graphical approach to demystify the device and explain why the experimental results are easy to misinterpret. Since the NC-FET is just a special case of a much broader class of phase-change devices and systems (e.g., transistors, memories, MEMS, logic-in-memory architecture) that operate by tailoring the Landau potential energy landscape, once NC-FET is understood, the operation of all other devices becomes intuitively obvious as well. The talk will conclude with a discussion of four possible roads to improving NC-FET device performance.

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ahmad zubair onto lectures

A five-week course on the basic physics that govern materials at atomic scales.

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Ryan John Bulens onto Materials

This tool enables users to explore and teach the basic concepts of P-N junction devices.

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Kuljit Virk onto Basic Tools

This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite element modeling (e.g., OOF2), and materials selection. The course will familiarize students with a broad survey of software tools in computational materials science, scientific computing, and...

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Kuljit Virk onto Atomistic Modeling

This set of ten presentations accompanied a graduate level course on Molecular Dynamics simulation. The specific objective of the course (and the presentations) is to provide: 1. Awareness of the opportunities and limitations of Molecular Dynamics as a tool for scientific and engineering research 2. Understanding of the compromise between model complexity/realism and computational expense 3. Background that enables interpretation of Molecular Dynamics-based studies reported in the literature

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Kuljit Virk onto Atomistic Modeling

Fairly extensive set of lectures?

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Kuljit Virk onto Atomistic Modeling

2016 National Nanotechnology Initiative Strategic Plan

This document is the strategic plan for the NNI. It describes the NNI vision and goals and the strategies by which these goals are to be achieved. The plan includes a description of the NNI investment strategy and the program component areas called for by the 21st Century Research and Development Act of 2003, and it also identifies specific objectives toward collectively achieving the NNI vision. This plan updates and replaces the NNI Strategic Plan of February 2014.

  1. NNI

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Tanya Faltens onto nano Resources

 The purpose of this experiment is to conduct synthesis of silver nanoplates and explore their shape stability that affects optical property (referred to as localized surface plasmon resonance (LSPR). Students will learn about the differences in physical properties and behavior at the nanoscale as compared to the same materials at the macroscale. This lesson assists students in working with scale and unit conversion Silver nanoparticles can take the shape of cubes, spheres, bars,...

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Tanya Faltens onto Gold and Silver Nanoparticles

This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite element modeling (e.g., OOF2), and materials selection. The course will familiarize students with a broad survey of software tools in computational materials science, scientific computing, and...

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Chin-Chuan Chang onto compuataional MSE

Simulation suite for electromechanical actuators

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Iuliia Kosminska onto Sensors

This course is intended to introduce the students to concepts of theoretical chemistry and molecular modeling. A practical approach will be used guiding the student from the fundamental theoretical background to the practical aspects of the models: definition, analysis and interpretation. The topics discussed in each section are reinforced with varied exercises, references, and further readings.

The contents of the course is structured as follows:

Introduction. The molecular Hamiltonian and the solution of the Schroedinger equation.a.- The Hartree-Fock (HF) approximation. Differential equation.b.- The Roothaan-Hall equations. The algebraic equation. The Born-Oppenheimer approximation. Geometry Optimization. Molecular energy and the potential energy surface. Analysis of the WFN: Molecular properties. Molecular geometry. The concept of molecular structure.

INTRODUCTION

The internal structure of atoms and molecules: Quantum Mechanics.

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navnidhi rajput onto QC modeling

Fall 2008

This course examines the device physics of advanced transistors and the process, device, circuit, and systems considerations that enter into the development of new integrated circuit technologies. The course consists of three parts. Part 1 treats silicon MOS and MOSFET fundamentals as well as second order effects such as gate leakage and quantum mechanical effects. Short channel effects, device scaling, and fabrication processes and reliability are the subject of Part 2. In Part …

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Jianchi Zhang onto Cources

In the last 50 years, solid state devices like transistors have evolved from an interesting laboratory experiment to a technology with applications in all aspects of modern life. Making transistors is a complex process that requires unprecedented collaboration among material scientists, solid state physicists, chemists, numerical analysts, and software professionals. And yet, as you will see in part 1 of this course (first 5 weeks), that the basics of current flow though solid state …

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Jianchi Zhang onto Cources

In the last 50 years, solid state devices like transistors have evolved from an interesting laboratory experiment to a technology with applications in all aspects of modern life. Making transistors is a complex process that requires unprecedented collaboration among material scientists, solid state physicists, chemists, numerical analysts, and software professionals. And yet, as you will see in part 1 of this course (first 5 weeks), that the basics of current flow though solid state …

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Iuliia Kosminska onto Sensors

Basic Concepts presents key concepts in nanoelectronics and mesoscopic physics and relates them to the traditional view of electron flow in solids.

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Tanya Faltens onto Suggested material

The modern solar cell was invented at Bell Labs in 1954 and is currently receiving renewed attention as a potential contribution to addressing the world\‘s energy challenge. This set of five tutorials is an introduction to solar cell technology fundamentals. It begins with a broad overview of solar cells and continues with a discussion of carrier generation and recombination in silicon solar cells. The tutorials continue with an overview of solar cell modeling and …

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Tanya Faltens onto Suggested material

The Effect of Doping on Semiconductors

In this simulation, users can select the temperature and the concentration of dopant, both donors and acceptors, that can be added to silicon. Two diagrams are generated. One is a schematic of an energy band diagram that shows the Fermi energy as well as a representation of the concentrations of electrons and holes in the material using red and blue circles. The other shows the concentrations of electrons and holes as a function of temperature as a line plot, in a classic Arrhenius plot representation. The intrinsic carrier concentration and Fermi energy are also shown, for reference.

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Tanya Faltens onto Suggested material

Tools

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Jennifer Taggart onto Helpful sims