Semiconductor Device– tag –
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Galatic Explores Quantum Computing’s Future in Polymer Simulation, Highlighting Hybrid R&D Applications
Galatic International Overview A Galatic article discusses the growing role of quantum computing in polymer simulation and development, emphasizing its potential to complement classical and AI toolkits. Quantum computers' ability to comp... -
IBM and Qedma Achieve Quantum Advantage in Materials Simulation on IBM Quantum Heron Processor, Enabling 74-Qubit Dynamics
Investing.com USA Overview IBM and Qedma Quantum Computing have demonstrated quantum advantage in simulating quantum materials using IBM’s Quantum Heron processor and Qedma’s error mitigation software. This breakthrough enables the study... -
IBM and Algorithmiq Demonstrate Quantum Advantage in Materials Simulation Beyond Classical Verification, Leveraging QESEM on Quantum Heron
IBM Newsroom USA Overview IBM and Algorithmiq demonstrated quantum advantage in simulating heterogeneous quantum materials using a new framework that establishes trust in quantum computations beyond classical verification. This breakthro... -
Northwestern University Develops Novel AI-Driven Computational Method to Unravel Complex Atomic Structures at Material Interfaces
McCormick School of Engineering (Northwestern University) USA Overview Northwestern University researchers developed a new AI-driven computational method to reveal the complex atomic structures at material interfaces. This approach combi... -
Fujitsu: Explosive Growth of AI Workloads Redefines Semiconductor Industry, Increasing Importance of Silicon Interposers and Next-Gen Thermal Materials
Fujitsu Global Japan Overview Fujitsu states that the explosive growth of AI workloads is fundamentally redefining the semiconductor industry. The article emphasizes the increasing importance of advanced packaging technologies and materi... -
SUTD and NUS Expand Light-Matter Interaction Simulation Tool, Accelerating Next-Gen Photonic and Quantum Device Design
EurekAlert! Singapore Overview Researchers from Singapore University of Technology and Design (SUTD) and National University of Singapore (NUS) developed a new computational approach to design photonic and semiconductor devices that cont... -
Japan’s Kao and Ajinomoto Boost Semiconductor Material Production Amid Surging AI Chip Demand, Strengthening ABF and High-Purity Cleaner Supply
Lanceum (Nikkei Asia report) Japan Overview Japanese consumer brands Kao and Ajinomoto are reportedly ramping up semiconductor material production to meet the surging demand for AI chips. Ajinomoto is increasing its production capacity f... -
Meta FAIR’s Universal MLIP ‘UMA’ Precisely Models Oxygen Plasma Interactions with 2D Materials, Advancing Semiconductor Manufacturing
arXiv Unknown Overview Meta FAIR's universal machine-learned interatomic potential (MLIP) model, UMA, has demonstrated highly accurate modeling of oxygen plasma interactions with tungsten disulfide (WS2), a 2D material, with performance ... -
Tokyo Institute of Science Achieves Sub-Millisecond AI for Semiconductor Inverse Problems
東京科学大学 Japan Overview Scientists at the Tokyo Institute of Science have developed a tandem neural network that solves complex semiconductor inverse problems in under one millisecond. This AI system infers critical material paramete... -
MDPI Paper Develops Machine-Learned MTPs for Low-Cost, High-Accuracy Prediction of Heat Transport in AlGaN and Related Materials
MDPI Switzerland Overview A study published in MDPI reports the development of Machine-Learned Moment Tensor Potentials (MTPs) for simulating static and dynamic structural properties and heat transport in AlGaN and related materials. Tra...
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