Scientific Machine Learning - Edgentiq

Standardizing Scientific Machine Learning: Introducing the MLCommons Benchmarks Ontology

AI Agents Collaborate to Uncover New Scientific Machine Learning Methods

LieSolver: A New Method for Efficient and Accurate PDE Solutions

Enhancing Neural ODE Training with Mixed Precision Techniques

STONe: A Breakthrough in Cross-Domain Forecasting for Radiation Dose

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TempO: A New Model for Accurate Long-Term Time Series Forecasting of Complex Physical Systems

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Monte Carlo Neural Operator: A New Approach to Solving Differential Equations

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Enhancing Diffusion Models with Physics-Informed Reward Fine-Tuning

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RPI Professor Shaowu Pan Garners Dual Honors for Pioneering AI and Clean Energy Research

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New Neural Network Method Tackles Challenging Boundary Value Problems

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Unlocking Faster Engineering Design with Multiscale Graph Neural Networks

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Enhancing Neural PDE Models with Efficient Data Augmentation and Stencil Emulation

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Understanding Deep Kolmogorov Method Accuracy for Heat Equations

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Advancing Material Discovery with Scalable Neural Networks

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Standardizing Scientific Machine Learning: Introducing the MLCommons Benchmarks Ontology

November 11, 2025

AI Agents Collaborate to Uncover New Scientific Machine Learning Methods

November 11, 2025

LieSolver: A New Method for Efficient and Accurate PDE Solutions

October 31, 2025