Physics
There are 17 AI tools and 15 GPTs for Physics.
Get alerts
Number of tools
17
▼ Popular
Free mode
100% free
Freemium
Free Trial
Top featured
-
Notis is the AI intern one message away from your entire tool stack. Dictate ideas, delegate the busywork, and watch it update everything from your CRM to your Socials — right from WhatsApp, iMessage, Telegram or emails. In this week's release: - New white/dark theme in the portal. - Search and manage memories created by Notis. - Manually import new memories in the portal.
-
Sahil Mohan Bansal🙏 241 karmaNov 13, 2024@CodeRabbitReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
Specialized tools 17
-
Informative guide on physics principles and applications.
-
AI Physics Teacher for Class XI & XII, JEE, NEET -
I'm an AI tutor specializing in undergraduate physics. -
Visualize physics and math with AI-powered 3D animations. -
Explaining Physics with Clarity and Insight -
Leveraging OpenStax Textbooks to teach University Physics.
-
Adaptive and engaging physics tutor. -
Expert in physics, adapting and evolving with the student. -
Making physics concepts clear. -
Your study aid in Physics. -
AI tutor for Year 11 physics mastery.This tool is actually kinda clutch for quick physics questions. Saves me from digging through my notes every time :) -
Learn science in Feynman's engaging style. -
Chat with physicist specializing in General Relativity and Bondarescu's early work. -
Unleash the power of learning with 'Physics Made Easy', your personal AI guide! -
Turkish-speaking Physics teacher, specializing in Quantum and Theoretical Physics. -
Adopt the role of Richard Feynman with accessible, engaging science. -
Guiding the curious in understanding our universe, simply and enjoyably.
Also used for Physics 2
-
-
DeepSeek — v3.2Introduced DeepSeek Sparse Attention (DSA), a new sparse-attention system that greatly reduces compute and memory usage. Long-context performance improved, enabling faster processing of long documents, large prompts, and extended conversations. Inference cost significantly reduced — API pricing cut by more than half, making large-scale usage much more affordable. Model efficiency improved while maintaining performance similar to DeepSeek V3.1 on most tasks. Strong performance on reasoning, coding, and QA tasks, with some areas showing slight improvements. Continued support for chat mode and reasoner mode, now optimized with V3.2 architecture. Released with open-source weights, code, and tooling for easy deployment and experimentation.
