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This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
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## Getting Started
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First, run the development server:
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```bash
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npm run dev
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# or
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yarn dev
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# or
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pnpm dev
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# or
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bun dev
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```
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Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
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You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
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This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
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## Learn More
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To learn more about Next.js, take a look at the following resources:
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-[Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
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-[Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
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You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
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## Deploy on Vercel
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The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
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Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
description: 'An integrated suite for first-principles electronic structure calculations and materials modeling',
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content: `Quantum ESPRESSO is an integrated suite of open-source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials.
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Key numerical linear algebra components:
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- Dense eigenvalue problems for electronic states calculation
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- Large-scale parallel diagonalization using ELPA or other solvers
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- Iterative eigensolvers for ground state calculations
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- Efficient handling of plane-wave basis sets
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- Performance optimization through advanced linear algebra libraries
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The integration with modern linear algebra libraries like ELPA and MAGMA has significantly improved its performance on modern HPC architectures, enabling larger and more complex simulations.`,
description: 'A state-of-the-art code for Many-Body calculations in solid state and molecular physics',
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content: `YAMBO is a scientific code implementing Many-Body Perturbation Theory (MBPT) methods for calculating electronic and optical properties of materials from first principles. It takes full advantage of modern HPC architectures through optimized linear algebra operations.
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Key numerical linear algebra aspects:
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- Complex linear algebra operations for Green\'s function methods
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- Parallel eigenvalue solvers for quasiparticle calculations
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- Efficient handling of large matrices in GW calculations
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- Linear response calculations using advanced linear algebra
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- Integration with high-performance libraries for optimal performance
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The code heavily relies on distributed linear algebra operations and benefits greatly from modern numerical libraries that can efficiently handle both dense and sparse computations on large matrices.`,
description: 'A quantum chemistry and solid state physics software package for atomistic simulations',
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content: `CP2K is an open-source electronic structure and molecular dynamics software package that performs atomistic simulations of solid state, liquid, molecular, and biological systems. It provides a rich set of features based on density functional theory (DFT) using both the Gaussian and plane wave approaches.
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Key numerical linear algebra components:
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- Distributed dense matrix operations for electronic structure
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- Sparse matrix algebra for linear scaling DFT methods
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- Efficient eigensolvers using ELPA and other libraries
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- Matrix operations in mixed Gaussian/Plane-Wave approach
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- Advanced linear scaling techniques for large systems
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The performance of CP2K heavily relies on efficient linear algebra operations, particularly in its DBCSR (Distributed Block Compressed Sparse Row) library for sparse matrix operations and its integration with state-of-the-art dense linear algebra libraries like ELPA for diagonalization tasks.`,
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