Project Grant 1621403

This $211,135 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to expand and improve the use of stochastic simulation models for optimal decision-making under uncertainty. The award, with a performance period from July 2024 to June 2027, will enhance the SIMOPT testbed of simulation optimization problems and solvers, making it more powerful, widely applicable, and aligned...

This $255,934 National Science Foundation Technology, Innovation, and Partnerships grant will support Exlattice, Inc.'s development of machine learning-powered additive manufacturing simulation software. Under the SBIR Phase I Project Grant, Exlattice will create a proof-of-concept for 3-5 orders of magnitude faster process simulation software to predict manufacturing failures from high temperature, residual distortion, and residual stresses. The proposed hybrid data-driven and physics-based...

The National Science Foundation awarded Quantum Simulation Technologies Inc. a $256,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop a matrix product state-based fermionic quantum emulator. The emulator will enable simulation of quantum computations involving up to 100 spin orbitals or 50 electrons on classical computing hardware, an order of magnitude larger than currently possible. Quantum Simulation Technologies will complete a Python...

This $275,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a suite of software that automatically routes building services systems through 3D obstructed space to achieve near-optimal, clash-free solutions. The project involves developing a highly efficient 3D modeling environment using "low-resolution surface tessellation" to minimize data storage and...

This $3.75 million project grant from the National Science Foundation's Computer and Information Science and Engineering program will support the augmentation of the Chrono computer simulation platform at the University of Wisconsin-Madison from July 2022 through June 2025. Chrono is an open-source simulation engine used across multiple fields to model interactions between mechanical systems, environments, and humans in applications like lunar rover engineering, vehicle design, wind turbines,...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) grant of $304,200 awarded to Mixta RE, Inc. in West Haven, CT supports the development of a novel adaptive learning platform. The platform features three core innovations: a skills engine using generative AI and robotic process automation to map competencies and create personalized learning pathways, an authoring tool for efficient creation of adaptive...

This Project Grant award of $600,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund the development of "N-Sphere", a new chip-scale analog computing engine capable of solving large-scale quadratic unconstrained binary optimization (QUBO) problems. The project aims to create a low-power, highly parallel QUBO solver that can accurately address problems with thousands of variables, outperforming existing...

This $200,000 project grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the augmentation of the open-source Chrono computer simulation platform. A multi-disciplinary team of 40 researchers from Georgia Tech Research Corporation will upgrade Chrono to enable the generation of machine learning training data, facilitate comparison of autonomous agent design...

This $397,375 project grant was awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to Arizona State University (ASU) to develop a new computational framework for analyzing and controlling nonlinear partial differential equations (PDEs). The key focus is ensuring the developed tools are accessible to researchers and engineers without extensive mathematical expertise, thereby enhancing the ability of data-based models to drive improvements in reliability,...

The National Science Foundation awarded a $256,000 Small Business Innovation Research Phase I Project Grant to Deepsim, Inc. from May 2021 to April 2022 under the Engineering federal grant program (CFDA 47.041). The grant funds the development of artificial intelligence enhanced design automation technologies for general engineering systems. Specifically, Deepsim will leverage machine learning to automate the engineering design process and enable simulation-guided design optimization across...