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Committed to improving research and development productivity for organizations around the world through better science and technology.

Materials Science Webinars

In this webinar series, you’ll learn how innovation in materials science leads to better performing, longer lasting, more efficient and more environmentally friendly products for companies in diverse industries including Consumer Packaged Goods, Oil & Gas, Chemicals, Pharmaceuticals, Automotive, and Aerospace.


Upcoming Webinars

Date Title and Speaker
December 12, 2018
10am NY
3pm UK

Using the Power of Simulation in Catalysis: A Multi-Scale Approach
Marc Meunier, Senior Solutions Scientist

Synopsis:
Reaction pathways, transition states and thermodynamic cycles can be identified thanks in part to new developments in molecular modelling tools such as the Density Functional Theory.

Join this webinar to learn how with recent use of such Quantum Mechanical based predictions, it is possible to fully model complex chemical processes and to provide chemical engineers with the knowledge to better understand, refine and eventually optimize their experimental processes.

You will learn how to:

  • Predict reaction energies, barriers and thermodynamic properties
  • Simulate reactor kinetics and predict concentrations of reactants and products
  • Model chemical and physical processes taking place at surfaces

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December 4, 2018
10am NY
3pm UK

Lithium in Motion
Dr. Johan Carlsson, Senior Solution Scientist, BIOVIA, Dassault Systèmes

Synopsis:
Join webinar to discover how atomistic simulations can help with understanding the electrochemical processes in the battery cell. This will provide insight to develop new materials combinations for the next generation batteries that hopefully will enable the transition from fossil fuel driven cars to electro vehicles.

Attendees will learn how to:

  • Investigate individual electrodes and electrolyte materials
  • Understand the electrochemical processes in the battery cell at the atom level
  • Predict materials properties for virtual design of battery cells

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On-Demand Webinars

Title and Speaker (click to view abstract)

Atomistic Simulations in Polymer Composite Design
Stephen Todd, Sr. Scientific Portfolio Management, Dassault Systèmes

Synopsis:
The thermo-mechanical properties of carbon reinforced epoxy composites are strongly influenced by the interfacial properties at the fiber interface where understanding the details down to atomistic level can provide additional important understanding.

During this webinar, we will examine how BIOVIA tools can be applied to calculate properties of the epoxy resin, model the toughener in a resin, and connect mesoscale structures to finite element models

Attendees will learn how to:

  • Use atomistic simulations to model resin formation
  • Extend resins models to mesoscale to understand resin homogeneity or the effect of adding a toughener
  • Connect to finite-element models to include mesocale texture in FE material models

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Printing the Future - Virtual Design of Materials for Additive Manufacturing
Dr. Johan Carlsson, Senior Solution Scientist, Dassault Systèmes BIOVIA

Join us for Printing the Future - Virtual Design of Materials for Additive Manufacturing as Dr. Johan Carlsson, Senior Solutions Scientist, provides examples of computational methods to predict mechanical and thermal properties to understand the additive manufacturing process.

Attend this webinar and learn how to:

  • Model ordered and random alloys
  • Calculate mechanical and thermal properties
  • Understand the additive manufacturing printing process

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Impacts of Materials Modelling
Dr. Gerhard Goldbeck, Ph.D., Director, Goldbeck Consulting Ltd

Description:What is materials modeling good for?

The webinar examines the impact materials modeling makes, both on a macro-economic and organizational level. In particular, the wide range of impact types and mechanisms will be discussed, based on evidence from surveys and interviews with users. It will be argued that a much wider potential remit for modeling should be considered than is commonly done.

In the light of these impact mechanisms, ways of measuring and increasing impact are discussed. Setting and assessing impact levels is shown to be important, and in this context a maturity model will be introduced. Higher levels of maturity are associated with integration and optimization and set the scene for modeling as a key factor impacting on digitalization.

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AI-Driven Operations: Are You Ready?
Sean McGee, Product Marketing Manager, Dassault Systèmes BIOVIA

Synopsis:
The utilization of artificial intelligence (AI) and machine learning to predict machine failure can shift maintenance from a reactive to a proactive activity, minimizing unscheduled downtime.

Access this webinar to explore these approaches and more, demonstrating the latest tips and tricks for achieving operational excellence across the organization and a look forward to the promise of new technologies.

Attendees will discover:

  • The steps to achieve comprehensive insight into operations for large and small organizations
  • The benefits of a proactive approach to machine maintenance
  • How advanced technologies such as AI and machine learning can impact operations

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Leverage Machine Learning for Decision Making in the Materials Sciences
Sean McGee, Product Marketing Manager, Dassault Systèmes BIOVIA

Synopsis:
Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These approaches can help scientists do more with less, building a stronger, data-driven foundation for decision making and guiding future research.

Join this webinar to discover:

  • What is machine learning and how it can be leveraged in R&D organizations
  • Use cases showing how machine learning and Big Data analytics can help drive more confident data-driven decisions
  • How data science pipelining tools can help to make these techniques more accessible

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Driving Catalyst Development with Computational Materials Science

Synopsis:
Access this webinar to discover how the application of computational materials science allows researchers to obtain results quickly and cheaply, connecting chemistry with macroscopic properties as well as guiding experimental work.

Attendees will discover:

  • How computational materials science methods can be applied for the development of homogeneous and heterogeneous catalysts
  • How the adsorption and catalytic behavior of zeolites and modified zeolites can be predicted in order to understand reaction mechanisms and explain catalyst activity and selectivity
  • How the application of high throughput simulation can be applied for virtual screening and data mining in order to identify promising candidates for testing

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Driving Innovation in the Oil & Gas industries with Computational Materials Science
Nick Reynolds, Ph.D., Principal Applications Scientist, Dassault Systèmes BIOVIA

Computational Materials Science methods provide a “Virtual Materials Lab” to accelerate materials development in the oil & gas industries. Applications include catalysis development to understand how features such catalyst composition, surface structure, and defects are related to catalytic activity. Chemical reaction mechanisms, kinetics, and energetics can be studied in order to link chemical structure with catalyst activity, and for the interpretation of spectroscopic data. Polymer physical and thermal properties can be predicted in order to determine the link between structure and properties. In summary, the application of computational materials science allows researchers to obtain results quickly and cheaply, connect chemistry with macroscopic properties, and to guide experimental work.

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Driving Innovation in the Oil & Gas industries Through the Use of Materials Modeling & Simulation
Nick Reynolds, Ph.D., Principal Applications Scientist, Dassault Systèmes BIOVIA

The application of materials modeling and simulation methods allow researchers to obtain results quickly and efficiently, connect subatomic to macroscopic properties, and to guide future experimental work. These methods provide a “Virtual Materials Lab” helping accelerate product development in the Oil & Gas industries.

Attend to learn how:

  • Materials modeling & simulation tools can be applied in the Oil & Gas industry to guide experimentation and accelerate new product development
  • These simulation tools have been successfully used in catalyst development and reaction engineering
  • Development of lubricants can be accelerated by simulation tools to link chemical structure to lubricant performance

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Materials Studio - Solutions for 21st Century R&D
James Wescott, Product Manager and Advisory Scientist and Struan Robertson, Senior Manager, Materials Simulation

View Materials Studio - Solutions for 21st Century R&D, if you are looking for a smarter approach to accelerate progress in R&D.

Struan Robertson and James Wescott discuss how researchers use BIOVIA Materials Studio — a complete modeling and simulation environment— to engineer better performing materials, including catalysts, polymers and composites, metals and alloys, batteries and fuel cells, while reducing costs and accelerating time to market.

Attend this webinar to understand:

  • The range of functionality available in Materials Studio
  • How Materials Studio is used to speed up R&D
  • What roles within an organisation could best make use of Materials Studio

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A Virtual Materials Lab in Support of Additive Manufacturing
Nick Reynolds, Ph.D., Principal Applications Scientist for BIOVIA

There has been a shift in recent years from designing a structure based on the limitations of a material, to now designing a material based on the structural need. Modeling and simulation methods at the molecular scale have advanced over the years for the prediction of the structure and properties of materials such as ceramics, alloys, polymers, composites, and a range of materials. These methods provide a “Virtual Materials Lab” to accelerate materials development in supporting Additive Manufacturing.

Join BIOVIA expert Nick Reynolds on August 17 as he discusses examples of the use of molecular simulation methods in predicting material properties relevant to Additive Manufacturing. Attendees will see how the application of multi-scale modeling helps drive experimentation and accelerate materials development.

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Driving Innovation in Advanced Materials with Modeling and Simulation
Nick Reynolds, Ph.D., Principal Applications Scientist for BIOVIA

Modeling and simulation methods at the molecular scale have advanced significantly in the prediction of the structure and properties of materials such as ceramics, alloys, polymers, composites, and more. These new methods provide a competitive advantage in accelerating materials development and guiding experimentation. Watch BIOVIA expert Nick Reynolds as he discusses examples of the use of molecular simulation methods in predicting material properties and show how the application of simulation can drive experimentation and accelerate materials development across diverse industries and applications.

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BIOVIA Materials Studio 2017 R2 Overview
James Wescott, Product Manager and Advisory Scientist

Join us to review the new features and enhancements in BIOVIA Materials Studio. This will cover the newest capabilities in functional materials design inside quantum, atomistic and mesoscale simulation tools, and an introduction to a brand new module for chemical reaction design, BIOVIA Materials Studio Cantera. Significant advances in the form of new Pipeline Pilot protocols for polymer and metal alloy property prediction via BIOVIA Materials Studio Collection will also be discussed.

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BIOVIA Materials Studio 2017 R2 - Reaction Kinetics Using Cantera
Struan Robertson, Senior Manager Materials Simulation

While Materials Studio has long provided capabilities for calculating chemical transition states and reaction rates via quantum mechanical solvers, the 2017 R2 marks the notable addition of reaction kinetics solver Cantera to this toolset. Cantera predicts the extent of reaction inside reactor vessels using complex reaction mechanism schemes. Join us to see how BIOVIA Materials Studio Cantera combines in-silico and experimental reaction rate coefficients with the Cantera solver to provide a comprehensive and convenient to use reaction kinetics modelling environment for chemical reaction design.

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What's New in Materials Studio 8.0
Dr. Stephen Todd, Senior Product Manager, BIOVIA & Tom Bentz, Senior Product Marketing Manager, BIOVIA

The 8.0 release of Materials Studio continues down the path of last year’s theme by providing “More Science” in the form of improved links to chemical engineers and “More Applications” for materials scientists because there are more properties for electronic materials. In addition, there are time saving usability enhancements so modelers can spend their valuable time doing what they do best - modeling!

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Materials Studio: The INTERFACE Force Field for the Accurate Simulation of Inorganic, Organic, and Biomolecular Compounds
Presented by
Hendrik Heinz, Ph.D., Department of Polymer Engineering at University of Akron (Ohio)

Molecular recognition and assembly at interfaces on a scale of 1 to 1000 nm can be understood more effectively using simulation tools along with laboratory instrumentation. We explain a strategy that leads to dependable parameters for inorganic compounds that has been developed and tested over the past decade. Parameters were developed for silicates, aluminates, metals, oxides, sulfates, and apatites, summarized in what we call the INTERFACE force field.

The INTERFACE force field operates as an extension of common harmonic force fields, such as PCFF, CHARMM, and OPLS-AA, by employing the same functional form and combination rules to enable simulations of inorganic−organic and inorganic−biomolecular interfaces. The approach eliminates large discrepancies between computed and measured bulk and surface properties of up to two orders of magnitude using previous parameterization protocols and increases the transferability of the parameters. A wide range of properties can be computed in quantitative agreement with experiment, including densities, surface energies, solid−water interface tensions, interfacial energies of different crystal facets, specific adsorption energies of biomolecules, thermal and mechanical properties, as well as reaction rates in specific cases.

Join our webinar to see examples of biomolecule recognition on metal nanostructures, silica, and apatites, which illustrate insight into molecular recognition in 3D atomic resolution, useful to improve catalysts, sensors, and therapeutics. Specific instruction on the use of this resource in Materials Studio will be given.

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Understanding Reaction Induced Phase Separation via Atomistic Simulations
Presented by
Dominic Wadkin-Snaith, Ph.D., Strategic Technology Group, Cytec

Thermoset epoxies are strong and stiff, but are notoriously brittle. Toughness can be realized through blending with certain thermoplastics. However, toughness enhancement without compromise of other properties requires control of the morphology of the blend. The term "Reaction induced phase separation" is used to describe the circumstance where the thermoplastic is initially soluble in the monomers of the epoxy. As the epoxy "cures" to form a network structure through reaction of the monomers, the thermoplastic phase separates. Controlling when and how the phase separation occurs are vital to obtain the desired morphology and properties. Atomistic simulations within Materials Studio are being investigated to determine whether these methods can be applied to predict the phase separation behavior of this class of materials.

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Secrets to Generating High Quality Slater-Koster Parameter Libraries for Fast, DFT Quality, DFTB+ Calculations
Presented by
Dr. Martin Persson, Senior Software Development Scientist, Dr. Johan Carlsson, Field Applications Scientist

Are you interested in the electronic structure of a nanowire, but find that it's too big for ab-initio calculations? You might then consider the density-functional based tight-binding method (DFTB), an efficient scheme for quantum mechanical atomistic simulations. DFTB is often cited as being an order of magnitudes faster than standard DFT methods, allowing calculation of structures containing about ten thousand atoms. Computational efficiency comes at the price of having to supply parameters for the elements.

Join us to learn the theory behind DFTB+ and specifically, Slater-Koster parameters. You will see the workflow of a parameterization, discover potential pitfalls and see examples of parameter validation. You'll also see two examples in the field of nanowires and catalysis, which required development of new Slater-Koster libraries.

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New Properties for Polymers: Classical Simulations in Materials Studio 7.0

Materials Studio 7.0 represents a major step forward for the classical simulations tools in Materials Studio. Enhancements include tools for calculating the free energy of solvation, major enhancements to the COMPASS forcefield, performance improvements for non-bond calculations, new barostats, and calculation of diffusion under a constant force.

In this webinar, Dr Reinier Akkermanns, a member of the classical simulations development team, and Dr Nick Reynolds from the US pre-sales team, will present some of the theory and applications of this new functionality.

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New Tools for Simulating Electron Transport in Materials Studio 7.0
Presented by Martin Persson, PhD and Johan Carlsson, PhD

Nano-electronics is a growing field, with applications beyond the traditional electronic devices companies and into the chemicals industry. Materials Studio 7.0 includes new functionality to enable the simulation of electron transport in molecular electronic devices.

In this webinar, Dr. Martin Persson will discuss some of the theory and implementation of the new electron transport task in the DFTB+ module. Dr. Johan Carlsson will then discuss the applications of electron transport, showing several example calculations.

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What's New in Accelrys Notebook 5.0

Join Mats Kihlen, Director of Product Management at Accelrys, as he reviews and demonstrates the latest functionality in Accelrys Notebook 5.0. Accelrys Notebook now includes integration and extensibility with the Accelrys Enterprise Platform and Pipeline Pilot, Accelrys’ best-in-class protocol authoring and data analysis tool. This powerful combination enables integration of the Accelrys Notebook with your own instruments and data sources and provides rich capabilities for scientific analytics, visualization, and automated report generation. Also, learn about:

  • Web Client Chemical Reaction Search
  • New Accelrys Notebook Plug-In
  • Rest API functionality
  • Enhancements to Microsoft Windows and Web Client
  • And More

 Watch Now

 

Accelrys Notebook Helps Science-Driven Organizations Transition to Digital Labs

Join Mats Kihlen, Director of Product Management at Accelrys and Tom Bentz, Senior Product Marketing at Accelrys, as they show you how Accelrys helps transition to digital labs with easy configuration, fast adoption and improved productivity. Additionally, learn how Accelrys Notebook includes integration and extensibility with the Accelrys Enterprise Platform and Pipeline Pilot, Accelrys’ best-in-class protocol authoring and data analysis tool. This powerful combination enables integration of the Accelrys Notebook with your own instruments and data sources and provides rich capabilities for scientific analytics, visualization, and automated report generation.

 Watch Now

 

Materials Modeling and Simulation for Nanotechnology
Michael Doyle, PhD at Accelrys

Hosted by the National Nanotechnology Infrastructure Network (NNIN) at the University of Michigan

Discover how to streamline your innovation cycle and drive better, faster results with Materials modeling and simulation for Nanotechnology.

It is in the nature of nano materials – they are non-linear and their properties do not reflect those of the bulk substances. In fact, their interactions can provide access to new chemistry and catalytic reactions that could not be performed at the bulk scale. Materials Studio has a number of modules specifically designed and optimized for dealing with Nano scale systems. These range from nano and amorphous material builders through to the more extensive quantum mechanical tools such as CASTEP and DMOL. In this webinar, a number of examples will be presented of leading edge science from the atomistic, quantum and meso scale areas.

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Materials Modeling for Microelectronics

Dr. Jacob Gavartin, Lead Scientist, Accelrys

Did you know semiconductor memory dates back to the 1960's UNIVAC? It held 262,144 words of eight-ported main memory. Today, as scaling of elementary semiconductor devices in the Integrated Circuits approaches its fundamental limits, novel approaches are being sought that involve integration of new materials, new processes and new device design.

Over the years materials modeling had played a pivotal role in understanding fundamentals of semiconductors physics. However, substantial code and computer developments over the last two decades resulted in qualitative increase of the accuracy, size, and robustness of atomistic calculations leading to an increasingly high impact in more specific engineering applications. In this webinar we'll discuss the place of materials modeling in the semiconductor industry with specific examples in processing, reliability and metrology aspects of metal-oxide-semiconductor (MOS) advanced gate stack engineering.

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What's New in Materials Studio 6.1

Dr. Stephen Todd, Senior Product Manager, Accelrys

Materials Studio 6.1 now includes Pipeline Pilot and the Accelrys Enterprise Platform!* Extend computational materials science to your entire enterprise.

Learn about the enhancements Materials Studio 6.1 delivers:

Improved performance & accuracy for Quantum and Classical Tools

  • Large scale calculations are faster, more stable
  • Improved properties prediction for catalysts, batteries, and semiconductors

Increased range of materials for unique DFTB+ module

  • Bridges quantum accuracy with classical speed to enable simulations that were previously impractical
  • Now easier to use, and applicable to more material types

* Academic Customers: Pipeline Pilot and the Accelrys Enterprise Platform are NOT included with the release of Materials Studio 6.1 for Academics

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The How and Why of Materials Degradation

Dr. Jacob Gavartin, Lead Scientist, Accelrys

Materials are at the core of every product, and their ability to last in real-world applications is governed by chemical reactions with their environment and other materials. Chemical reactions govern the complete lifecycle of materials from production to disposal, and are the root cause of materials breakdown in every case. Yet the reasons why these reactions take place and how they affect the performance of materials are often misunderstood.

This webinar will explore reactions as the mechanism of material degradation in process and production chemistry and show how modeling and simulation can help scientists and engineers to understand and predict materials performance in their true application environments.

You’ll learn about:

  • Evaluating reaction energy
  • Determining thermodynamic balance
  • Predicting heat capacity, spectral characteristics, and other properties
  • Automating calculations
  • Storing, documenting, and re-using simulation results

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Materials Modeling & Simulation for Pharmaceutical Development

In this webinar Accelrys Principle Scientist, Stephen Todd, discusses Modeling and Informatics tools and how they aid in the manufacturing development of pharmaceutical materials while offering the potential to directly improve the drug development process. Learn about the benefits of Modeling & Informatics for:

  • Increased knowledge of drug materials to increase confidence in drug performance and reduce overall development risk
  • Streamlining of pharmaceutical formulation and development efforts by early characterization of drug materials to avoid potential pitfalls and dead ends
  • Early insights into likely stability of specific drug forms supporting selection of preferred formulations in development
  • Leveraging available experimental data to better understand the drug at the molecular level and provide tangible opportunities to anticipate drug behavior and interactions, including understanding of the potential impact of material variability on manufacturing development efforts.
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Materials Studio Webinar: Materials Modeling and Simulation for Nanotechnology

Discover how to streamline your innovation cycle and drive better, faster results with Materials modeling and simulation for Nanotechnology. This webinar will focus on how Materials Studio is a comprehensive nano materials modeling and simulation application designed for scientists in materials R&D. 

It is in the nature of nano materials, that they are non-linear and that their properties do not reflect those of the bulk substances. In fact, their interactions can provide access to new chemistry and catalytic reactions that could not be performed at the bulk scale. Materials Studio has a number of modules specifically designed and optimized for dealing with Nano scale systems. These range from nano and amorphous material builders through to the more extensive quantum mechanical tools such as CASTEP and DMOL. These capabilities will be illustrated by reference to a number of examples that are being studied using this technology. In this webinar you will learn:

  • How to design systems faster and with more flexibility using the MS builder tools
  • Analyze systems intrinsic and extrinsic behavior using the state of the art MS simulation tools
  • Investigate the statistical significance of models and effects using the MS QSAR tools
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Investigating Optical Properties with Materials Studio 5.5
Dr. George Fitzgerald, Lead Scientist, Accelrys

Investigating Optical Properties with Materials Studio 5.5

Density functional theory (DFT) provides a widely used universal framework for calculating electronic properties. This method is often to simulate analytical instruments like IR, Raman, and NMR in order to assist in the identification of unknows or in the unambiguous assignment of spectral peaks. Materials Studio 5.5 extends this to optical spectra of molecules with the implementation of Time-Dependent DFT (TDDFT) in DMol3. The inherent speed of DMol3 makes it possible to predict optical spectra for molecules with even 100s of atoms in reasonable amount of CPU time.

The implementation uses the adiabatic local exchange functional approximation (ALDA) to predict UV/visible spectra, frequency-dependent polarizabilities, and hyperpolarizabilities. Various approximations to ALDA have also been introduced to provide users with tradeoffs between speed and accuracy.

The webinar will include a brief overview of the TDDFT method with focus on the implementation in DMol3. Results for a variety of molecular systems will be presented with a comparison of the various TDDFT approximations, results, and CPU requirements.

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Simulation of Laser Induced Modification of Vitreous Silica
Jim Dickinson, Corning

Femtosecond laser pulse induced structural changes in silica glass and their role in changing the refractive index of the glass have been investigated using ab initio molecular dynamics simulation. Femtosecond laser irradiation was simulated by raising the electron temperature to 25000 K and allowing the system (72 atom cell) to evolve freely for 300 fs. During the irradiation the average nearest-neighbor Si-O, Si-Si and O-O distances increase due to the weakening of bonds resulting from the thermalization of electrons. Diffusion of Si and O gives rise to a structure with 2- and 3-coordinated Si atoms in addition to non-bridging oxygens. These structural changes are almost completely recovered during post-irradiation evolution of the glass structure. However, there are persistent changes that involve the formation of three-coordinated Si atoms and non-bridging oxygens that correspond to the paramagnetic defect species of Si E' centers and non-bridging oxygen hole centers, respectively. These defects introduce energy levels within the band gap of silica glass giving rise to optical absorptions that increase the refractive index through a Kramers-Kronig mechanism..

Transient absorption in silica is thought to be due to the formation of a new SiH species (SiH*, Smith et al., Appl. Optics, v. 39, 5778). A model to explain the results involves the reaction of H2 to produce a three coordinated oxygen (SiOHSi) and a 5-coordinated Si, with four Si-O bonds and one Si-H bond. This model predicts activation energies of H2 reaction similar to experimental values and also predicts the correct trends in the changes of absorption and Raman spectra upon irradiation.

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Materials Studio 5.0: Spectroscopy methods in CASTEP
Dr. Stewart Clark, Department of Physics, University of Durham
Dr. Keith Refson, Computational Scientist, Science & Technology Facilities Council
Dr. Victor Milman, Senior Fellow, Accelrys

CASTEP simulates the properties of solids, interfaces, and surfaces for a wide range of materials including ceramics, semiconductors, and metals using plane-wave density functional theory. In particular, CASTEP can be used to predict certain types of spectroscopy, including core level spectroscopy (e.g. EELS), and with Materials Studio 5.0 also Raman intensities for solid-state materials and molecules. Raman is frequently used as a tool for probing the chemistry of in situ experiments. It is valuable since it can characterize both a solid substrate and molecular fragments. Interpretation of the spectra though is sometimes ambiguous. The ability to predict Raman spectra for these systems will aid experimentalists in interpreting the spectra and understanding the chemistry of these systems in detail.

An overview of spectroscopy methods available in CASTEP will be given, with a particular focus on the theory and implementation of Raman spectroscopy in CASTEP. Several examples that demonstrate the usefulness of this approach will be presented.

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Materials Studio 5.0: Use Cases for Polymer Scientists
Dr. Stephen Todd, Senior Product Manager, Accelrys
Dr. Gerhard Goldbeck-Wood, Director, Materials Studio Marketing, Accelrys

Materials Studio 5.0 includes several modules with enhancements of interest to Polymer Scientists. The Amorphous Cell tool has new functionality such as the "Packing" task and increased flexibility. Also, exposure through MaterialsScript enables full automation of polymer workflows. Equally, the new DPD functionality in Mesocite extends the mesoscale modeling functionality to a new series of properties. This webinar will give an overview of the new tools and show example applications.

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