Interactive technology is required for learning effectively and efficiently. While teaching the basic concept of Chemistry, like bonds between atoms and how molecules are formed, teachers usually give examples to define the formation of bonds. However the concept ...
Adobe Captivateis a feature-rich course authoring software that provides great customization options and is perfectly suited for building complex interactive courses. It also boasts some unique advanced features like a VR-content builder, a software simulation maker, and the Adobe PhoneGap tool that c...
The Virtual Chemistry Lab: Virtual Reality as a Learning Tool for Malaysia's Secondary School Nida Romli,Mohd Fairuz Shiratuddin,Shahrum Hashim 被引量: 7发表: 2003年 The Virtual Lab (Physics & Chemistry) for Malaysia's Secondary School N Romli,NA Awang,A Bakar,... 被引量: 0发表: 2022年...
Despite the relatively simple scoring functions, software of this nature proves invaluable as a supporting tool in drug design processes. Our study can be divided into two pathways, which can be run separately. The first route is the construction of new colchicine-based compounds with the ...
Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard. Comet - ML platform for tracking experiments, hyper-parameters, artifacts and more. It's deeply integrated with over 15+ deep learning frameworks and orchestration ...
Essential tools for any research that involves mathematics, in math, engineering, physics, computing, chemistry, and more Maple Research Looking for Maple T.A. or Möbius? Möbius from DigitalEd, a Maplesoft technology partner, is a learning platform that integrates courseware, content, testing...
Kohn–Sham density functional theory is widely used in chemistry, but no functional can accurately predict the whole range of chemical properties, although recent progress by some doubly hybrid functionals comes close. Here, we optimized a singly hybrid
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Automating retrosynthesis with artificial intelligence expedites organic chemistry research in digital laboratories. However, most existing deep-learning approaches are hard to explain, like a “black box” with few insights. Here, we propose RetroExplainer, formulizing the retrosynthesis task into a mole...
the Deep Potential-Smooth Edition (DeepPot-SE) model, which replaces the non-smooth local frame with a smooth and adaptive embedding network. DeepPot-SE shows great ability in modeling many kinds of systems that are of interest in the fields of physics, chemistry, biology, and materials ...