Associated tags: Machine learning, Microscope, Physics, Semiconductor, CFD, Intelligence, ChatGPT, Thermal conductivity, Library, AI, Medical device, Data science, Faculty, Alloy, Indian Institute of Science, Artificial intelligence, Algorithm, Student, DFT, Mechanical, Research
Locations: VIRGINIA CITY, NV, US, WYOMING, AUSTIN, TX, TEXAS
Retrieved on:
Tuesday, November 14, 2023
Agriculture,
Engineering,
Physics,
Mineral,
Hyperspectral imaging,
Cobalt,
Disease,
Private sector,
Mining,
Artificial intelligence,
Science,
Farmer,
SpaceX,
Semiconductor,
Communication,
AI,
Lithium AUSTIN, Texas, Nov. 14, 2023 (GLOBE NEWSWIRE) -- Quantum Generative Materials, LLC (GenMat™) today announced the successful launch of its GENMAT-1 satellite aboard the SpaceX Falcon 9 rocket and achievement of low-Earth orbit.
Key Points:
- AUSTIN, Texas, Nov. 14, 2023 (GLOBE NEWSWIRE) -- Quantum Generative Materials, LLC (GenMat™) today announced the successful launch of its GENMAT-1 satellite aboard the SpaceX Falcon 9 rocket and achievement of low-Earth orbit.
- The satellite's state-of-the-art hyperspectral imager will provide unparalleled data and insights for both public and private sector participants.
- GenMat is dedicated to using its technology to establish new standards and drive innovation towards deploying a physics-based AI for materials discovery and engineering.
- Its hyperspectral imaging capabilities represent a significant leap forward in advancing physics-based artificial intelligence.
Semiconductor,
Partnership,
Indian Institute of Science,
Department of Mechanical Engineering, Imperial College London,
Research,
Mechanical,
DFT,
Student,
Machine learning,
Algorithm,
Physics,
Artificial intelligence,
Faculty,
Alloy,
CFD,
Data science,
Medical device,
AI GenMat offers a proprietary physics platform that creates tailored AI models and training datasets for specific industries and use cases, such as batteries, semiconductors, and alloys.
Key Points:
- GenMat offers a proprietary physics platform that creates tailored AI models and training datasets for specific industries and use cases, such as batteries, semiconductors, and alloys.
- The faculty is engaged in cutting-edge research on a rich variety of topics ranging from theoretical foundations to new algorithms and architectures.
- Highly motivated doctoral and master’s research students complement and expand the efforts of the faculty.
- The Institute has initiated industry partnerships with numerous global companies and industrial research laboratories.
Retrieved on:
Wednesday, March 15, 2023
GenMat has assembled a world-class interdisciplinary team of material scientists, computational chemists, quantum physicists, and quantum, machine learning and aerospace engineers that develop classical and quantum machine learning models for electronic structure calculations, molecular dynamics simulations, and multi-scale simulations, and then validate those models.
Key Points:
- GenMat has assembled a world-class interdisciplinary team of material scientists, computational chemists, quantum physicists, and quantum, machine learning and aerospace engineers that develop classical and quantum machine learning models for electronic structure calculations, molecular dynamics simulations, and multi-scale simulations, and then validate those models.
- “Having faster, cheaper, more accurate multi-scale materials simulations powered by a truly generative artificial intelligence will drastically reduce trial and error costs for product development,” said Deep Prasad, GenMat’s founder and chief executive officer.
- ZENO, when paired with these libraries and its internal systems architecture, is designed to learn and grow from commercial use cases on existing high-performance computing platforms, years before quantum computers are mainstreamed.
- We are excited by our progress, and we look forward to offering ZENO’s solutions to enterprise clients for testing advanced materials simulation and synthesis, later this year.”
