This chapter is very important because many of the future learnings will have their base in this chapter. This Class 12 Physics NCERT chapter explains very well about what a magnetic force is and it’s motion in a magnetic field. A total of 11 topics are discussed in this Physics Class 1...
Get Physics Important Questions for Class 11 & Class 12 chapterwise, All Physics Chapters are covered here, Click here to check Important Questions
NCERT solutions for Class 12 Physics Chapter 2 help the student understand this chapter from the base; it will improve their grades on exams. 4. How does the Vedantu app help to solve the student mathematical solution regarding the science chapter? There are so many students ...
Question Papers gives an idea about the exam pattern and marks distribution. Download Previous Year Question Papers of Class 12.
Step by step video & image solution for Class 12 Physics (Hindi) | Chapter 4 गतिमान आवेश एवं चुम्बकत्व | Important Questions and Quick Revision by Physics experts to help you in doubts & scoring excellent marks in Class 12 exams...
Class 10 Maths (Hindi) | Chapter 7 निर्देशांक ज्यामिति | Important Questions and Quick Revision View Solution Class 10 Maths (Hindi) | Chapter 6 त्रिभुज | Important Questions and Quick Revision ...
NCERT Exemplar Problems and Solutions for Class 12 Physics In order to succeed in Physics, the applicant needs to tackle a variety of numerical problems of varying complexities. Additionally, in the beginning phases of getting ready, a book containing answers to questions can be helpful. This is...
Differentiate between homogeneous and heterogeneous class 12 chemistry JEE_Main The bending of light near the edges of an obstacle class 11 physics JEE_Main Electric field due to uniformly charged sphere class 12 physics JEE_Main If a wire of resistance R is stretched to double of class 12 phys...
In this case, we seek an approximation ROM [Math Processing Error](ψθ∗,ϕθ∗,hθ∗) that minimizes the difference between the data x(t) and the prediction [Math Processing Error]x^(t) over a chosen class of models [Math Processing Error](ψθ,ϕθ,hθ) parameterized by ...
In this work, we propose a novel model class coined as physics-informed DeepONets, which introduces an effective regularization mechanism for biasing the outputs of DeepOnet models towards ensuring physical consistency. This is accomplished by leveraging automatic differentiation to impose the underlying...