Gaussian 16 Revision C.01 — ~upd~

Gaussian 16 Revision C.01, released by Gaussian, Inc., is a specialized update to the core Gaussian 16 package that maintains broad compatibility across various high-performance computing (HPC) architectures. Core Platform Support

Unlike the subsequent Revision C.02, which is more restrictive, Revision C.01 provides binary and source code support for a wide range of architectures: x86_64 and IA32 (Linux and Windows) architectures (Linux) Computational & Functional Features

Revision C.01 continues the Gaussian 16 tradition of modeling complex molecular systems using quantum mechanical laws. Key features include: Standardized Workflow Integration

: It is frequently used as the primary DFT (Density Functional Theory) engine in large-scale databases and automated workflows for calculating properties like molecular polarity, electronic structure, and solvation profiles. Interface Capability

: It can be interfaced with external optimizers (such as Python-based Gaussian Process optimizers) for evaluating semi-empirical prior mean functions like AM1. Spectroscopic Analysis

: It supports advanced vertical excitation energy and excited-state geometry optimization, often utilized with functionals like PBE0 and empirical dispersion corrections (GD3). Parallel Computing : Requires the Linda message passing library for parallel execution across clusters. Known Limitations & Technical Notes Cubegen Performance : In Revision C.01, the

utility (used for generating molecular orbital or density "cube" files) may not show performance gains when using multiple processors. Even if nprocs > 1

is specified, the process often defaults to a single thread. NBO Module

: Like other Gaussian 16 versions, it includes a proprietary NBO 3.1 module, which may show discrepancies compared to the more recent authentic NBO7 program

If you are using this on a cluster, you can typically specify this version in your job submission script using a flag like -rev g16c01 specific installation requirements

Gaussian 16 Revision C.01 is a maintenance and performance update for the Gaussian electronic structure modeling suite. This specific revision focuses on improving parallel efficiency and expanding hardware compatibility, particularly for High-Performance Computing (HPC) environments. Key Performance and Algorithm Improvements

Revision C.01 introduced several refinements to calculation efficiency:

Parallel Efficiency: Significant improvements were made to parallel performance on systems with large numbers of processors.

Linda Parallelism: The update established dynamic task allocation as the default for Linda workers, which helps balance workloads more effectively across network-parallel clusters.

Memory Optimization: The revision uses an optimized memory algorithm specifically designed to avoid I/O bottlenecks during CCSD iterations.

GEDIIS Algorithm: Multiple enhancements were applied to the GEDIIS optimization algorithm to improve geometry convergence.

CASSCF Scaling: Active space calculations were improved to make spaces of up to 16 orbitals feasible for larger molecular systems. Hardware Support and Compatibility

A major highlight of Revision C.01 is its expanded support for modern hardware:

GPU Acceleration: This revision introduced official support for NVIDIA V100 (Volta) GPUs on Linux systems.

Network Parallelism: Utilizing network parallel features in Revision C.01 requires Linda 9.2; older versions are incompatible with this revision.

Instruction Sets: Binaries are often specifically built for AVX2-enabled platforms to leverage modern CPU vector instructions. Proper Citation

When publishing research using this specific build, the Official Gaussian Citation should reflect the revision:

Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H. et al. Gaussian 16, Revision C.01, Gaussian, Inc., Wallingford CT, 2016. 2 requirements for this revision? Citation - Gaussian.com

Gaussian 16, Revision C. 01, M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, Gaussian.com Gaussian 16 Rev. C.01/C.02 Release Notes | Gaussian.com

Gaussian 16 Revision C.01: A Comprehensive Review of the Latest Quantum Chemistry Software gaussian 16 revision c.01

Gaussian 16 Revision C.01 is the latest version of the Gaussian software series, a widely used computational chemistry tool for predicting the properties and behavior of molecules. This software has been a staple in the field of quantum chemistry for decades, and its latest revision brings a host of new features, improvements, and capabilities. In this article, we will provide an in-depth review of Gaussian 16 Revision C.01, highlighting its key features, applications, and benefits.

Introduction to Gaussian Software

The Gaussian software series has been around since the 1980s, with the first version being released in 1981. Developed by John M. Frisch and his team, the software was initially designed to perform quantum chemical calculations on small molecules. Over the years, the software has evolved significantly, with each new version bringing improved algorithms, new methods, and enhanced performance.

Gaussian 16 Revision C.01: What's New?

Gaussian 16 Revision C.01 is a significant upgrade from its predecessor, Gaussian 09. This revision includes a range of new features, improvements, and bug fixes. Some of the key highlights include:

  1. New Quantum Mechanical Methods: Gaussian 16 Revision C.01 includes several new quantum mechanical methods, including the density functional theory (DFT) and the Møller-Plesset perturbation theory (MP2). These methods allow users to perform more accurate calculations on larger systems.
  2. Improved Performance: The software has been optimized for performance, with significant improvements in speed and efficiency. This allows users to perform larger calculations in a shorter amount of time.
  3. Enhanced Graphical User Interface: The graphical user interface (GUI) has been revamped, making it easier to navigate and use. The new GUI includes features such as automatic job submission, improved visualization tools, and enhanced error handling.
  4. New Properties and Analyses: Gaussian 16 Revision C.01 includes new tools for analyzing and visualizing molecular properties, such as molecular orbitals, density plots, and spectroscopic properties.

Applications of Gaussian 16 Revision C.01

Gaussian 16 Revision C.01 has a wide range of applications in the field of chemistry and materials science. Some of the key areas where this software is used include:

  1. Quantum Chemistry: Gaussian 16 Revision C.01 is used to perform quantum chemical calculations on molecules, allowing researchers to predict properties such as energy, structure, and reactivity.
  2. Materials Science: The software is used to study the properties of materials, including solids, liquids, and gases. This includes calculations on material properties such as band gaps, phase transitions, and surface chemistry.
  3. Catalysis: Gaussian 16 Revision C.01 is used to study catalytic reactions, allowing researchers to understand the mechanisms of catalytic processes and design new catalysts.
  4. Spectroscopy: The software is used to predict spectroscopic properties, such as NMR, IR, and UV-Vis spectra, allowing researchers to assign spectral lines and understand molecular structure.

Benefits of Gaussian 16 Revision C.01

The benefits of using Gaussian 16 Revision C.01 include:

  1. Improved Accuracy: The software includes a range of new methods and algorithms, allowing users to perform more accurate calculations on larger systems.
  2. Increased Efficiency: The optimized performance of Gaussian 16 Revision C.01 allows users to perform larger calculations in a shorter amount of time, making it an ideal tool for high-throughput screening and large-scale simulations.
  3. Enhanced User Experience: The new GUI and improved visualization tools make it easier for users to navigate and use the software, reducing the learning curve and allowing researchers to focus on their science.

Conclusion

Gaussian 16 Revision C.01 is a powerful tool for quantum chemical calculations, offering a range of new features, improvements, and capabilities. Its applications in the field of chemistry and materials science are vast, and its benefits include improved accuracy, increased efficiency, and an enhanced user experience. Whether you are a researcher, scientist, or student, Gaussian 16 Revision C.01 is an essential tool for anyone interested in computational chemistry.

System Requirements

Gaussian 16 Revision C.01 is available on a range of platforms, including Windows, macOS, and Linux. The system requirements for the software are:

Availability and Pricing

Gaussian 16 Revision C.01 is available for purchase from the Gaussian website or from authorized resellers. The pricing for the software varies depending on the platform and the type of license, with academic and commercial licenses available.

Support and Resources

Gaussian Inc. provides a range of support and resources for users of Gaussian 16 Revision C.01, including:

Overall, Gaussian 16 Revision C.01 is a powerful tool for quantum chemical calculations, offering a range of new features, improvements, and capabilities. Its applications in the field of chemistry and materials science are vast, and its benefits include improved accuracy, increased efficiency, and an enhanced user experience.

You're referring to the Gaussian 16 quantum chemistry software!

Gaussian 16, Revision C.01, is a popular computational chemistry package used for calculating molecular structures, energies, and properties. Here's a comprehensive guide to get you started:

Installation and Licensing

  1. Installation: Gaussian 16 can be installed on various platforms, including Windows, macOS, and Linux. The installation process typically involves running a setup program and following the prompts. Ensure you have the necessary permissions and disk space.
  2. Licensing: Gaussian 16 requires a valid license to run. If you're affiliated with a university or research institution, you may have access to a licensed copy through your institution's license agreement. Otherwise, you can purchase a license directly from Gaussian, Inc.

Basic Usage

  1. Input Files: Gaussian 16 uses input files (.gjf or .com files) to specify the job type, molecule, and calculation settings. Create a text file with the required information, using a format similar to:
    • %mem=16GB (memory allocation)
    • %cpu=4 (number of CPU cores)
    • # B3LYP/6-31G(d) opt (method and basis set)
    • Gaussian 16 input file
    • Molecule specification ( atomic numbers, coordinates, etc.)
  2. Running Gaussian: Execute the input file using the Gaussian 16 executable (e.g., gaussian16_revC01.exe on Windows). The program will perform the specified calculation and produce output files.

Some Common Keywords and Options

  1. Method and Basis Set: Specify the quantum mechanical method and basis set using the # symbol, e.g., # B3LYP/6-31G(d).
  2. Job Type: Define the job type using keywords like:
    • opt (optimization)
    • freq (frequency calculation)
    • sp (single-point energy calculation)
  3. Memory and CPU: Allocate memory and CPU resources using %mem and %cpu keywords.

Example Input File

Here's a simple example of a Gaussian 16 input file for optimizing the geometry of a water molecule using B3LYP/6-31G(d):

%mem=16GB
%cpu=4
#B3LYP/6-31G(d) opt
Water molecule optimization
  O
  H 1 0.96
  H 1 0.96 2 104.5
1

Output Files and Results

  1. Output File: Gaussian 16 produces an output file (.out file) containing the calculation results, including energies, geometries, and frequencies.
  2. Results: The output file will contain various sections, such as:
    • Final energy and geometry
    • Vibrational frequencies and IR intensities
    • Thermodynamic properties (e.g., entropy, enthalpy)

Additional Tips and Resources

  1. Gaussian 16 Documentation: Consult the official Gaussian 16 documentation for detailed information on keywords, methods, and usage.
  2. Online Resources: Utilize online forums, tutorials, and webinars to learn more about Gaussian 16 and computational chemistry.
  3. Training and Tutorials: Take advantage of training courses, workshops, and tutorials to improve your skills in using Gaussian 16.

This guide provides a basic overview of Gaussian 16 Revision C.01. For more detailed information and specific instructions, refer to the official documentation and online resources. Happy calculating!

Gaussian 16 Revision C.01: Enhanced Performance for Computational Chemistry

Gaussian 16 Revision C.01 represents a significant update to the world’s most widely used electronic structure modeling software. Developed by Gaussian, Inc., this revision focuses on improving the efficiency, stability, and range of molecular systems that researchers can model with high precision.

Whether you are studying small organic molecules or large protein-ligand complexes, Revision C.01 provides the robust toolset necessary for modern computational workflows. Key Enhancements in Revision C.01

The transition to Revision C.01 introduced several critical technical improvements designed to maximize hardware potential and streamline complex calculations. 1. Improved Parallel Performance

Revision C.01 features refined algorithms for shared-memory parallelism (Linda-based parallel processing). This ensures that calculations scale more effectively across multi-core processors, reducing the "wall time" required for high-level theory jobs like CCSD(T) or large-scale DFT optimizations. 2. Enhanced Support for New Hardware

One of the primary drivers for this update was better compatibility with modern CPU architectures. Revision C.01 optimizes memory handling and instruction sets for the latest Intel and AMD processors, ensuring that the software utilizes the full vectorization capabilities of the hardware. 3. Stability in Geometry Optimizations

Researchers often encounter "oscillation" issues when optimizing transition states or large, flexible molecules. Revision C.01 includes updated default settings for the GEDIIS optimizer and better handling of redundant internal coordinates, leading to faster convergence in tricky potential energy surfaces (PES). 4. Integration with GaussView 6

Revision C.01 is designed to work seamlessly with GaussView 6, allowing for intuitive visualization of vibrational modes, NMR shielding constants, and electron density maps generated by the C.01 binaries. Standard Features Continued in C.01

While Revision C.01 brings specific fixes, it maintains the core capabilities that make Gaussian 16 the industry standard:

TD-DFT Enhancements: Efficient calculation of excited states and electronic spectra.

ONIOM Method: A multi-layered approach that allows high-level QM calculations on an active site while treating the rest of the environment with molecular mechanics (MM).

Solvation Models: Continued support for the Polarizable Continuum Model (PCM) and SMD for accurate liquid-phase modeling.

Relativistic Effects: Accurate treatment of heavy elements using Effective Core Potentials (ECP). Why Upgrade to Revision C.01?

For academic and industrial labs, the move to Revision C.01 is primarily about reliability. While earlier versions of G16 were groundbreaking, C.01 addresses specific bugs related to frequency calculations and memory allocation that could occasionally lead to job failures in complex environments.

By utilizing this revision, computational chemists ensure their results are produced using the most refined version of the Gaussian 16 source code, minimizing the risk of artifacts in their data. System Requirements and Installation

Gaussian 16 Revision C.01 is available for Linux, Windows (as Gaussian 16W), and macOS. It requires: A 64-bit operating system.

Significant local scratch space (SSD recommended) for high-level correlation methods.

Optimized mathematical libraries (such as Intel MKL) which are typically bundled with the binary distributions.

Are you planning to run these calculations on a local workstation or a high-performance computing (HPC) cluster?

Since "interesting" is subjective, I have curated a few different types of blog posts and resources regarding Gaussian 16 Revision C.01. Depending on whether you are looking for technical deep-dives, practical tutorials, or performance benchmarks, one of these will likely suit your needs. Gaussian 16 Revision C

Here are some of the most noteworthy discussions regarding G16 C.01 available online:

4. The "Software Philosophy" Angle

Source: Mick Philpott’s Blog (and similar computational chemistry blogs) Topic: Comparing Gaussian 16 C.01 to ORCA 5.0

While not a "release note," many computational chemists write comparative blogs when new revisions drop.

Benchmark Set: GMTKN55 (General Main Group Thermochemistry, Kinetics, and Noncovalent Interactions)

| Method plus Basis Set | Rev B.01 Time (min) | Rev C.01 Time (min) | Speedup | |-----------------------|---------------------|---------------------|---------| | B3LYP-D3/def2-TZVP | 124 | 112 | 11% | | ωB97X-V/def2-TZVPPD | 312 | 278 | 12% | | RI-MP2/cc-pVTZ | 445 | 331 | 34% | | CCSD(T)/cc-pVDZ | 1,520 | 1,408 | 8% |

Accuracy observations: Mean absolute deviation (MAD) for reaction energies remained identical to Rev B.01 within 0.02 kcal/mol, confirming numerical stability.

2.1. Density Functional Theory (DFT)

1. The "Must-Read" Technical Breakdown

Source: Chemistry Hall (Feature Article) Title: Gaussian 16: New Features and Performance in Revision C.01

This is widely considered one of the best high-level overviews of the software. It doesn't just list features; it explains why they matter.

References and Further Reading

  1. Gaussian 16 Revision C.01 User’s Reference. Gaussian, Inc., Wallingford, CT, 2019.
  2. M. J. Frisch, et al. "Gaussian 16 Revision C.01." (2019).
  3. Goerigk, L., et al. "A look at the density functional theory zoo with the advanced GMTKN55 database." Phys. Chem. Chem. Phys., 2017, 19, 32184.
  4. Grimme, S., et al. "Effect of the damping function in dispersion corrected density functional theory." J. Comput. Chem., 2017, 38, 1657.
  5. N. Mardirossian and M. Head-Gordon. "ωB97X-V: A 10-parameter range-separated functional." Mol. Phys., 2017, 115, 2315.

For technical support, visit the official Gaussian website or consult your local HPC administrator.

This article is for informational purposes. Gaussian is a registered trademark of Gaussian, Inc.

Advancing Computational Chemistry: A Deep Dive into Gaussian 16 Revision C.01

Gaussian 16 (G16) Revision C.01 represents a critical stabilization and performance-enhancement phase in the evolution of the industry-standard electronic structure modeling suite. While building on the foundational architecture of the initial G16 release, Revision C.01 introduces vital refinements in parallel processing, memory management, and algorithmic robustness designed to handle increasingly complex molecular systems. Core Technical Enhancements

The C.01 revision is characterized by significant under-the-hood optimizations that improve the reliability and speed of high-level quantum mechanical calculations. Improved Parallel Efficiency

: Parallel performance across large numbers of processors has been significantly tuned. This revision allows for more efficient scaling on clusters and multi-CPU workstations, reducing the computational bottleneck often found in large-scale DFT and post-Hartree-Fock jobs. Dynamic Task Allocation

: Building on earlier G16 improvements, the dynamic allocation of tasks among Linda workers (parallel processing agents) is the default in this revision, which minimizes idle time and maximizes resource utilization. Optimized Memory for CCSD

: Revision C.01 utilizes a refined memory algorithm specifically for Coupled Cluster (CCSD) iterations. This optimization is designed to avoid unnecessary I/O (input/output) operations, which can drastically slow down intensive correlation energy calculations. GEDIIS Algorithm Enhancements

: The Global Electronic DIIS (GEDIIS) optimization algorithm has seen several enhancements, improving the convergence of geometry optimizations for challenging molecules where standard algorithms might struggle. Broadening Chemical Feasibility

The software continues to push the boundaries of what is "computable" for standard research labs. CASSCF Performance

: Complete Active Space Self-Consistent Field (CASSCF) calculations are now feasible for active spaces up to 16 orbitals, depending on the system. This allows for more accurate treatment of transition metals and excited states in larger molecular frameworks. Geometric Flexiblity

: The revision supports new options for recomputing force constants every

-th step of an optimization, a feature essential for "floppy" or flexible molecules that otherwise require frequent restarts. Practical Usage and Implementation

For the researcher, Revision C.01 maintains the standard Gaussian input structure while demanding careful resource management. Citation - Gaussian.com

Parallel execution (OpenMP + Linda):

3. The "GPGPU" Performance Debate

Source: Matter Modeling Stack Exchange / HPC Blog Posts Topic: Benchmarking Gaussian 16 C.01 GPU Acceleration

Gaussian has been slowly integrating GPU support, and Revision C.01 expanded this significantly.