Always match your input file parameters to your physical hardware. Use the %NProcShared directive to specify the number of CPU cores. %NProcShared=16 %Mem=32GB Use code with caution. Leveraging GPU Acceleration
: Ensure the environment variable GAUSS_SCRDIR points to a fast local Solid State Drive (NVMe SSD) rather than a slow network-attached storage (NAS) drive.
Outside, a late train sighed through the city. Inside, between the hum of cooling fans and the slow churn of equations, a tiny molecular bridge endured, its electrons arranged for a moment in an improbable architecture. Revision C.01 had been a nudge; discovery, in the end, had been the slow, patient work of noticing.
Rev C added support for raw binary files using either 4- or 8-byte integers, making it easier to interface with programs written in C, C++, and Perl Python Integration: A new script,
The software requires a minimum of 8 GB RAM, a 64-bit processor, and a compatible graphics card. For more information on system requirements and purchasing options, visit the Gaussian, Inc. website.
: Improvements were made to parallel performance on systems with high core counts. It requires an upgrade to Linda 9.2 for network parallel processing; earlier versions of Linda are strictly incompatible with this revision.
The revision includes improved default settings for the SCF (Self-Consistent Field) procedure, helping difficult systems converge more reliably.
Revisions are fundamentally driven by software QA. Revision C.01 resolves several legacy bugs that caused unexpected terminations ( Error termination via Lnk1e ).
Gaussian 16 Revision C.01 is a maintenance and optimization update to the core Gaussian 16 suite. Released to address stability across evolving hardware architectures, Revision C.01 does not reinvent the software. Instead, it perfects the existing codebase.
Gaussian 16, Revision C.01, M. J. Frisch, et al., Gaussian, Inc., Wallingford CT, 2019.
: On a massive dual-processor AMD EPYC 9554 system (128 cores total), running the same test0397 benchmark with Gaussian 16 Rev. C.01, the scaling behavior was analyzed. While doubling the core count from 64 to 128 didn't double the speed, a speedup factor of 1.50 was observed, showcasing solid parallel efficiency for a well-optimized code.
Revision C.01 is a specific, updated version of G16 that provides bug fixes, optimizations, and new features not available in earlier revisions (e.g., A.03 or B.01). Users frequently rely on this revision for its improved computational efficiency, particularly in hybrid density functional theory (DFT) calculations, excited-state studies, and efficient modeling of large systems using ONIOM methods. Key Features and Enhancements in C.01
: Includes hybrid functionals (B3LYP, PBE0), range-separated functionals (CAM-B3LYP, B97X-D), and double-hybrids.
: Paired with Linda 9.2, the internal engine defaults to an advanced, dynamic allocation algorithm. Instead of statically dividing atom sets among worker nodes, tasks are dynamically balanced in real-time, drastically reducing node idle time and maximizing parallel efficiency during sprawling geometry optimizations. 🛠 Structural, Memory, and Integration Upgrades Matrix Element Export & Extensibility
: To effectively leverage GPU acceleration within this revision, hardware must utilize NVIDIA cards with 12 GB of onboard VRAM or higher , utilizing drivers compatible with NVIDIA CUDA 8.0 or later.
No unuseful, duplicated, overridden, or longhand CSS. CSS Scan runs hundreds of real-time advanced optimizations on the code to make it shorter, crystal clear, and prettier. Exactly the way you like it.
Understand how everything works without wasting time hunting through infinite CSS rules on the browsers' Dev Tools.
Get all the active styles on the fly and finish your work faster.
Use shortcuts to work with it even quickier.
If you want to copy the CSS of this element right now, it's a pain. With CSS Scan, you just click, and it's yours. It copies all child elements, pseudo-classes and media queries. Create your perfect page.
1. Open the extension
Go to any website and click on the extension icon on your browser’s toolbar to open it.
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92.1×40.8
2. Hover over any element
Hover any element and you’ll instantly get their CSS code. Inspect, debug, and understand the styling on the fly.
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3. Click to copy
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dribbble.com
Extract the HTML and CSS of elements and all its child elements (as whole components).
You can save these Codepen snippets on the cloud and start your collection of beautiful elements that you can use on your projects from today on.
To be able to export an element, first pin the CSS window by pressing the space bar.
WordPress, Wix, Squarespace, Shopify, React, etc. CSS Scan runs on the browser as an extension so it works on any website, any theme and even works offline!
Choose your favorite: Chrome, Firefox, Safari, and Edge. Internet Explorer maybe never.
Always match your input file parameters to your physical hardware. Use the %NProcShared directive to specify the number of CPU cores. %NProcShared=16 %Mem=32GB Use code with caution. Leveraging GPU Acceleration
: Ensure the environment variable GAUSS_SCRDIR points to a fast local Solid State Drive (NVMe SSD) rather than a slow network-attached storage (NAS) drive.
Outside, a late train sighed through the city. Inside, between the hum of cooling fans and the slow churn of equations, a tiny molecular bridge endured, its electrons arranged for a moment in an improbable architecture. Revision C.01 had been a nudge; discovery, in the end, had been the slow, patient work of noticing.
Rev C added support for raw binary files using either 4- or 8-byte integers, making it easier to interface with programs written in C, C++, and Perl Python Integration: A new script, gaussian 16 revision c.01
The software requires a minimum of 8 GB RAM, a 64-bit processor, and a compatible graphics card. For more information on system requirements and purchasing options, visit the Gaussian, Inc. website.
: Improvements were made to parallel performance on systems with high core counts. It requires an upgrade to Linda 9.2 for network parallel processing; earlier versions of Linda are strictly incompatible with this revision.
The revision includes improved default settings for the SCF (Self-Consistent Field) procedure, helping difficult systems converge more reliably. Always match your input file parameters to your
Revisions are fundamentally driven by software QA. Revision C.01 resolves several legacy bugs that caused unexpected terminations ( Error termination via Lnk1e ).
Gaussian 16 Revision C.01 is a maintenance and optimization update to the core Gaussian 16 suite. Released to address stability across evolving hardware architectures, Revision C.01 does not reinvent the software. Instead, it perfects the existing codebase.
Gaussian 16, Revision C.01, M. J. Frisch, et al., Gaussian, Inc., Wallingford CT, 2019. Revision C
: On a massive dual-processor AMD EPYC 9554 system (128 cores total), running the same test0397 benchmark with Gaussian 16 Rev. C.01, the scaling behavior was analyzed. While doubling the core count from 64 to 128 didn't double the speed, a speedup factor of 1.50 was observed, showcasing solid parallel efficiency for a well-optimized code.
Revision C.01 is a specific, updated version of G16 that provides bug fixes, optimizations, and new features not available in earlier revisions (e.g., A.03 or B.01). Users frequently rely on this revision for its improved computational efficiency, particularly in hybrid density functional theory (DFT) calculations, excited-state studies, and efficient modeling of large systems using ONIOM methods. Key Features and Enhancements in C.01
: Includes hybrid functionals (B3LYP, PBE0), range-separated functionals (CAM-B3LYP, B97X-D), and double-hybrids.
: Paired with Linda 9.2, the internal engine defaults to an advanced, dynamic allocation algorithm. Instead of statically dividing atom sets among worker nodes, tasks are dynamically balanced in real-time, drastically reducing node idle time and maximizing parallel efficiency during sprawling geometry optimizations. 🛠 Structural, Memory, and Integration Upgrades Matrix Element Export & Extensibility
: To effectively leverage GPU acceleration within this revision, hardware must utilize NVIDIA cards with 12 GB of onboard VRAM or higher , utilizing drivers compatible with NVIDIA CUDA 8.0 or later.
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"This was an easy buy"
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"After seeing the benefits of CSS Scan there's no way I could go back to Inspecting elements through dev tools. It's a game changer"
"The best developer-productivity product of 2019. Should be a browser default!"
"CSS Scan by @gvrizzo: Hover over any element and copy its entire CSS rules with a single click 😍😍😍 So useful for frontend work"
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"I was told "but there are free funky extensions that tell you the CSS". Yeah. There are. And they don't evolve. CSS Scan does, and that is why I don't mind paying!"
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