Python simulations of analytical physics models, combining rigorous mathematical derivations with real-time 3D visualizations of classical and modern systems like particle dynamics, and collisions.

MATRIX is a distributed data-aware execution fabric supporting both high-performance computing (HPC) and many-task computing (MTC) workloads. The execution fabric is fault tolerant by having all compute nodes participate in the job submission and handling process; work stealing is used to achieve efficient distributed load balancing. The fabric guarantees job execution and dependencies, and relies on an underlying scalable distributed storage system for inter-process communication (e.g. FusionFS). Data-aware scheduling maximizes data locality by scheduling computational tasks close to the data. Computations are overlapped with I/O to reduce wasted resources and hide latencies. The fabric is elastic, allowing it to grow and shrink in resource usage based on the application demand. The fabric also support compact task representation to alleviate task submission bottlenecks for common patterns (e.g. “for each x do y”). The execution fabric is integrated with several other projects, including FusionFS(a distributed file system), D^3 (direct distributed data-structure), and Swift (parallel programming system). The work will be evaluated with many applications (e.g. bioinformatics, medicine, pharmaceuticals, astronomy, physics, climate modeling, economics, and analytics) through the Swift project collaboration on the largest high-end computing (HEC) systems.

This repository introduces an analytic approximation of the WBGT model developed by Liljegren et al (2008). This analytic approximation doesn't require iteration while maintaining high accuracy and most of the physics of Liljegren's model.

This repository hosts code that illustrates the content of the presentation and proceeding Conformal Mappings with Sympy: Towards Python-driven Analytical Modeling in Physics a collaborative work of Z. Lauer-Baré and E. Gaertig presented on THE 20th PYTHON IN SCIENCE CONF. (SCIPY 2021).

Explosion Threat Zone Simulator – A real-time GIS-based tool to map and simulate explosion impact zones using blast physics models. Features interactive geospatial visualization, risk classification, and predictive analytics to aid disaster response and resource planning.

A physics-structured neural ODE framework for floating-body hydrodynamics. The model predicts interpretable parameters — directional added mass, drag coefficients, and divergence-free background flow via a streamfunction — coupled with analytic motion equations.

FACILITIES schools near sarjapur road We offer academic, sporting, co-curricular and personal development programmes that afford students every opportunity to grow in knowledge, self-confidence, skill and understanding. CLASSROOM Each classroom houses a large area and is designed such that every student gets the teacher’s maximum individual attention. The classrooms for regular teaching and a number of other rooms and Resource room to make learning interesting and fascinating. All the class rooms are equipped with smart boards/Interactive Boards THE COMPUTER LAB Computer education is an integral part of the curriculum at NPS Sarjapur Road. The computer laboratory has computers with a dedicated broadband Internet connection for students. Student usage of media and technology are monitored and supervised by teachers. Computer Science prescribed by the CBSE schools near sarjapur road is offered as an optional subject to students at the Senior Secondary level. INTERACTIVE PANEL AND AUDIO VISUAL FACILITIES The interactive panel makes the classes visually stimulating and collaborative. It allows the integration of media content into the lecture. The audio visual facilities are used by the faculty and the students to make presentations. They ensure long-term retention of what is taught and encourage a research-oriented approach. THE SCIENCE LABORATORY The science laboratory provides a space for experiential and hands on learning for students. Under the professional guidance and assistance given by the science teachers, students are also encouraged to exhibit their innovative abilities by developing samples and models.There are separate workstations for Physics, Chemistry and Biology. State of the art equipment for Physics facilitates students to perform experiments and study various principles and laws. The wide range of chemicals and apparatus allows the students a hands-on experience in learning Chemistry. The Biology labs are equipped with endemic plant specimens, models, microscopes and slides for students to observe and study, widening their exposure to the subject. LIBRARY / DIGITAL RESOURCE CENTRE The library is the main resource center for the students and faculty of the school. It houses a vast collection of textbooks, reference books, fictional and non-fictional books, periodicals, text books and audio-visual material. The library also subscribes to over 30 periodicals inclusive of 3 national daily newspapers, children’s magazines and academic journals. AUDITORIUM A fully equipped auditorium allows students to produce plays and performances with the best acoustics and light system. MATH LAB The Math Lab provides students the opportunity to see theories come alive and have fun with numbers. It creates a challenging atmosphere for students to put their mathematical abilities to test and improve their analytical reasoning and lateral thinking through various games and activities. Syllabus based activities are conducted for Grades I to X to enhance their learning experience. ART ROOM The spacious art room creates a soothing and informal ambience to help students unleash their creative streak. The Art room becomes a hub of innovative activity as students sketch, paint for competitions as well as make props and posters for events and fests. MUSIC ROOM A space for students to practice their musical instruments in a serene atmosphere with informal seating. THE RESOURCE ROOM Replete with materials for activities that are an extension of lessons, students of primary classes engage in thought-provoking simple games in the Resource room. Models, picture cards and text cards open avenues for group discussion and extended learning. YOGA ROOM Yoga helps students improve concentration, increase immunity and overall wellbeing. A qualified yoga instructor teaches students of Grades I – XII the nuances of deep breathing, meditation and relevant asanas. HEALTH CARE ROOM The Health Care Room is equipped with basic medical equipment and medicines. Immediate attention is provided by a qualified nurse in case of minor ailments or injuries. Parents are immediately informed if the student is in need of medical care by a doctor. SAFETY MEASURES Students are at the centre of everything that we do in school. They are under supervision by teachers at all times on the campus as well as during educational trips, competitions and picnics. In order to maintain a safe and secure campus, only authorized personnel enter the premises. Cameras are installed at vantage points in and around the school. The buildings are also equipped with fire extinguishers in case of exigencies.

Physics engines and analytical models for the Kuyu simulation environment

AnalyticalStructureFactors.jl: A Julia package for computing static structure factors using analytical solutions for various physical models. Ideal for rapid and precise calculations in condensed matter physics, chemical physics, and materials science.

A sampling of various analytical and numerical models and simulations, ranging from the newtonion physics of a slinky drop, to the simulation of 2D excitable systems with the FitzHugh-Nagumo Model.

A concise portfolio showcasing my work in physics, data analysis, software development, and scientific computing. I build tools, models, and systems that merge analytical thinking with modern programming — working toward a career in quantitative research and theoretical physics.

Minimal forward–inverse testbed using analytical Mie scattering as a controllable physics model. Enables fast prototyping of Bayesian inference, surrogate modeling, and hierarchical priors for geometry-dependent optical responses.

Build an modeling and simulation for free fall motion which usually exist in physics. We build an analytics model and numerik model, which if the numerical model approaches analytics, the more accurate the results. We build with python programming languange and using jupyter library.

Implemented a Physics-Informed Neural Network in PyTorch for 1D harmonic oscillators, integrating an underdamped oscillator's analytical solution. Employed a unique loss function combining data fidelity and physical law compliance, with iterative visualizations of model training.

This repository contains a physics-based simulation of projectile motion under air resistance combined with a simple AI model trained on simulated data. The project compares analytical equations, numerical simulation, and data-driven predictions to study the strengths and limitations of AI when applied to physical systems.

Enterprise-grade transit intelligence platform combining a physics-informed ensemble ML model, a Claude AI second-layer reasoning engine, a live 3D animated city transit map, and a full 9-chart analytics suite — all delivering predictions in under 3 seconds.

AutoSim Pro is a comprehensive autonomous vehicle simulation platform designed for researchers, engineers, and developers working on self-driving car technologies. The platform provides realistic vehicle physics, advanced AI behavioral modeling, and professional-grade analytics tools for testing and validating autonomous driving algorithms.

RotorTwin AI is an industrial-grade digital twin platform for wind turbine rotor performance, combining physics-based modeling, ML surrogate prediction, uncertainty quantification and constrained optimization. Built with FastAPI, Next.js, MLflow and Docker, it delivers real-time analytics, experiment tracking and production-ready AI infrastructure.

Finding analytical form of Models in Physics.

Physics-informed analytical modeling of IR-drop effects in memristive crossbar neural network inference.

Electric fish analytic physics model for simulating active electrolocation data fast.

An engineering analysis of Formula 1 car aerodynamics using real telemetry data, analytical models, and first-principles physics. Built with Python and Jupyter Notebooks.

Industrial Digital Twin for energy efficiency analysis (COP) using a Lakehouse data pipeline, physics-based modeling and SQL analytics.

Robotics machining analytics: physics-based synthetic sensor data, signal processing, computer vision, and predictive modeling for Al6061 drilling experiments

Solutions to selected questions of Computational Physics Test 2016, University of Dhaka. Most codes written in C/C++. Solutions include numerical and analytical modeling of various physical phenomena.

This repository contains the code to compute the low energy physics properties of ZGNRs, including pi-bands and magnetisation profile for increasing width, both leveraging analytical models such as tight-binding and Hubbard model on lattice (solved self-consistently through algos) and spin polarised DFT calculations.

The n-body problem is an analytically unsolvable astrophysics model that describes the motion of celestial bodies. This project attempts to capture the physics with machine learning.

This repository contains my MPhil thesis “Quantum Phase Transitions in the 1D Bose–Hubbard Model,” an in-depth study of many-body physics in 1D lattices. It builds the model from simple interactions to extended and cavity-mediated dissipative regimes through analytical and numerical methods.

Physics-Informed Neural Network (PINN) for solving the Black–Scholes PDE for European option pricing. The model enforces PDE, boundary, and terminal conditions in the loss function and is validated against analytical solutions across varying volatility regimes.

This repository focuses on applying mathematics and physical science principles to simulate, analyze, and solve real-world problems. It covers modeling, numerical computation, data visualization, physics-based simulations, and analytical methods to study and understand complex systems in engineering and science.