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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "A physics-informed multi-" (30 stories)

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A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps
Lead StoryNaturetech
Jun 22

A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1zWE55YzZkaVRXZldYYmpMMzdUZnB6aHBTTk1zWGF2UFRhazB3c2NELUNGOXRJTVlrc08zMUU0OGhqb1E0X2pXN3ZPeTk1d2NBWFVIakhUOHdxWldSVUVz?oc=5" target="_blank">A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "A physics-informed multi-"

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29 stories displayed
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
The Association for the Advancement of Artificial Intelligencetech

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5ET21CcEJTU2VQa1ZiaEpNTG1ZZHo3Z3NNeVgwNFJMT0VrRnNsdzluSHFfXzI5ZG9iOVdVQXVhMFFkcVV0bFAyUXM2Ymx0eEFJN1BFVU1IWTBoZ3FyRXB5TUhma0k?oc=5" target="_blank">Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt
Naturegeneral

Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56eTJYRlZJWDZtVkZrOENPLU9jV242UVB5WDNLaVllNjh1Yi1HT1hUXzBocTNvV2MyeTBEVkVET1IzOGVmQXFmamw4bmFUMzRVQTNWaERzUjhMOXcxRGQ0?oc=5" target="_blank">Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt</a>  <font color="#6f6f6f">Nature</font>

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Multi-factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics-informed neural network-driven optimization
Wiley Online Librarygeneral

Multi-factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics-informed neural network-driven optimization

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE5CcEdSYnJ2Q1FIdHVFamZnQWJfQ3h0alVrQnhBa0NPaVZQNVlZTmstUXlXTmY2VkJqb0ZMMEdZVnhFQkxsd1BNUHV4ZGtpeEx4ekZqX2Y2dmdtYXp6VnZjR2gxaS0xSEZIdnJj?oc=5" target="_blank">Multi-factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics-informed neural network-driven optimization</a>  <font color="#6f6f6f">Wiley Online Library</font>

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PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
The Association for the Advancement of Artificial Intelligencegeneral

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5BQXZUNE40QXVRZGVDX3JDS1VoS3N6NEdTdHltWldwR0RCaGRMcGVibXVWOXJHRnE1T2NjcHVIYXUtWUVWMEdKUTQtTElWZVE5N3pDMS1fcVVCX3NFYUJRY3E0ZUY?oc=5" target="_blank">PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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SiC Systems Applies Multi-Agent AI to First-of-a-Kind Methane-to-Hydrogen and Carbon Nanotube Plants Under Teaming Agreement with CarbonLume
Business Wiretech

SiC Systems Applies Multi-Agent AI to First-of-a-Kind Methane-to-Hydrogen and Carbon Nanotube Plants Under Teaming Agreement with CarbonLume

<a href="https://news.google.com/rss/articles/CBMiowJBVV95cUxQeVY1bnVVVlFvY2FiQUZoMjkzeGltdlhxalpmSWw1UHd0ZU55UHBBWjlVeWVSZTVZSlJiT0ZFYzFUbm5IekswV3dmdWoyaUNlY0N3aGZGTV9sZ0tkaEFnOHNCQXhQazFmMGxyOWVrbEg2eG9Ld2dxRERBVWxXelJnc2phWTJTYmFnbXBfN0pScTBkV0lITUwwek1Uc3RhNE1Sb2NZMDVyWndrbzQ1Ui1Hd3JJLWtBa0M4RW5yR2w1VDY5NVNZa2VaV2d1NnRZbmI5eFktNXBFSmhkamFpMEJXTW9BbkFjWlhHc2E0UllXRmJoNEI5UnBiSjNnUXU1alVTOS1uYk5zZXVwYkhPVzA5Q0RwLVhEcFA1U2hEaGMyNXRJdnM?oc=5" target="_blank">SiC Systems Applies Multi-Agent AI to First-of-a-Kind Methane-to-Hydrogen and Carbon Nanotube Plants Under Teaming Agreement with CarbonLume</a>  <font color="#6f6f6f">Business Wire</font>

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Pusan National University develops an AI framework for smarter ship navigation
EurekAlert! Science News Releasestech

Pusan National University develops an AI framework for smarter ship navigation

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE1Ra3dXdEJla3R0enp2anRyY2I4cEVfQnJ1dGhxd1hTSGhsaW9vTUFQMENsaUtCQkF4dDBVZ1BPQ1BWRVR2ZGM3eUxQX3NPUmxRTTFBc2dxWnNHSkhr?oc=5" target="_blank">Pusan National University develops an AI framework for smarter ship navigation</a>  <font color="#6f6f6f">EurekAlert! Science News Releases</font>

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A physics-informed foundation model for rapid high-fidelity structural response prediction
Natureworld

A physics-informed foundation model for rapid high-fidelity structural response prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jck9OVm83RjlSelpqbDlWLTJaV3VmRVpsMFNESWtLUkp3Z0dCcHR4bzNhTnU1UE1ydlVUOWFBOHB0YkpRbDM0ckFHZnNUbXZJWXhWLW94WDZNUWtfQmxB?oc=5" target="_blank">A physics-informed foundation model for rapid high-fidelity structural response prediction</a>  <font color="#6f6f6f">Nature</font>

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A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning
The Association for the Advancement of Artificial Intelligencegeneral

A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE0xY21RRGZXdXJGMHFpd0tfTVVCVWM0bWZ2WXJjN3dNSVJ6QzBGWjktbGJzUXVzZnlXQWc2QTBTOXRJSjJyQTFvN1BmRTVIX0wwREhheXN6T0cxS2R0NU80UWxIQVY?oc=5" target="_blank">A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Calibration-free physics-informed multi-task residual U-Net for simultaneous denoising and gas pressure retrieval from noisy voigt spectra | Scientific Reports
Naturegeneral

Calibration-free physics-informed multi-task residual U-Net for simultaneous denoising and gas pressure retrieval from noisy voigt spectra | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1GLXNoY094dmxGR004aDVlRDN4WkRKbEU4M3Qxd1hySm9hOE4xT3M5ZFkwR1RacFlsbDlUcjB3RnlnMURTWGxHNk1ZN1lIUGFpZG04eWpDblRwdE0tN1kw?oc=5" target="_blank">Calibration-free physics-informed multi-task residual U-Net for simultaneous denoising and gas pressure retrieval from noisy voigt spectra | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue
Naturegeneral

Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5pWnBjalo2TEp5WTBuOEZVZ1ZUZFhEMnVXOWZGV2pmT19ENWJpMkNqdmEteUJNOVFkemFNQjFOQklxa1ktckFYcFF5VFk2TFk1cmR2Z1BsZ2MzcXcxaXdr?oc=5" target="_blank">Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue</a>  <font color="#6f6f6f">Nature</font>

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Vol. 40 No. 2: AAAI-26 Technical Tracks 2
The Association for the Advancement of Artificial Intelligencetech

Vol. 40 No. 2: AAAI-26 Technical Tracks 2

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBzOFZkTkVhWXluSlZjZkpwd19MdXlodEY4aFRxSm9QeUVFcGpjMVZWY21JcE8zRWczQk5mMEJNamRpVmRzYWhZbzBnSmVpdFRjOFhEaUo5aC1Ia1hXdHhz?oc=5" target="_blank">Vol. 40 No. 2: AAAI-26 Technical Tracks 2</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Moving from table to graph in physics-informed spatio-temporal symbolic regression
Naturegeneral

Moving from table to graph in physics-informed spatio-temporal symbolic regression

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBMVkR0YVJ2cVVQcHJHSS1qSmJmWmEtVDVKUTJXdVhDeWQzdGE1YlZrZnRvdmNNSVBPSTY5VWxjX2pVdzQzVXZqRC1VYlhib0pzWXdqQWRsZTlCVUJTalVJ?oc=5" target="_blank">Moving from table to graph in physics-informed spatio-temporal symbolic regression</a>  <font color="#6f6f6f">Nature</font>

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A physics-informed graph neural network conserving linear and angular momentum for dynamical systems
Naturegeneral

A physics-informed graph neural network conserving linear and angular momentum for dynamical systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9KSldHMnJTdDh1Q28wTDVXeFFYekRSd2FJSG9LTjJCbmJVQ1RBWGxlN0tIQ3NvYlQxQ2xmZldLRnF5aUc1M013V3c4aVI4ZVprcHRFNzM2VnF5eVNUYUE4?oc=5" target="_blank">A physics-informed graph neural network conserving linear and angular momentum for dynamical systems</a>  <font color="#6f6f6f">Nature</font>

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JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention
Naturegeneral

JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5mZGlTak1OQS05LXVWSVZaTlY4Y3lkRjA2eXdkd2taTElnVjhBV2pBaUFfMGRGLUhTdTk4YTZpWFI0d1ctQXVMdzFHaXA0aXFfSmVMSGM3LTl4OHZ1Nmc4?oc=5" target="_blank">JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention</a>  <font color="#6f6f6f">Nature</font>

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Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks
Naturegeneral

Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14OWtPSUViVlYzRUpsSzc0SjNFN2lCdExGU2ZrRTFhWmstRlgzWjlsSGZXdDN0ZFFlSzNUVEZsWS1ZYk4tWGxDVXNZNDB6V0szNDBTYXlqRHJTTTF4ZzBn?oc=5" target="_blank">Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks</a>  <font color="#6f6f6f">Nature</font>

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Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems
Natureworld

Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9MeWQ4LWpVc2FRaG0xV2NJNFZrV09fSm1GSkpNQ2pTbmlGQWxuRkhwaHNTOTFwY2ppSlQwdkNKbm9odVM1ck9RNmpydWlfTHpuNC1RNThOaHVabmV2SGZz?oc=5" target="_blank">Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems</a>  <font color="#6f6f6f">Nature</font>

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Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes
Naturetech

Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qOWFyeE5aUy1NWnNYVG9HNERPdkg4MlBJdU91bmtTeXA2dVNqcE13N05pWTRrZmgyRVVnRlhGS0JFYWpWcV9ZZUpWN1pBMDcxeF8tX0JRNkx1cFotUHM4?oc=5" target="_blank">Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes</a>  <font color="#6f6f6f">Nature</font>

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A cycle-aware and physics-informed framework for battery remaining useful life prediction
Naturetech

A cycle-aware and physics-informed framework for battery remaining useful life prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhZllsaXM5MXBNWjBkSDRlVDNseFo3X3NQQUx5dlZPLTZuWTluVExWMFlDY2VoZEtoV01MZnpEejZwMjJJbVAxLTdqNTBXaWJjNE1EaHpjNmJtTmFHdWdJ?oc=5" target="_blank">A cycle-aware and physics-informed framework for battery remaining useful life prediction</a>  <font color="#6f6f6f">Nature</font>

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A self-correcting multi-agent LLM framework for language-based physics simulation and explanation
Naturegeneral

A self-correcting multi-agent LLM framework for language-based physics simulation and explanation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00RjZhdV96bWd6LUxVMXdiYmlOdTNFTU9PTENrTms0bnhjdHdldFBIbUZZNE1lMVhtZmZFblRYTl9ZeWVXT09nZllfSmx6RUIwbm1HODNLMUFEZm9Ec1ZR?oc=5" target="_blank">A self-correcting multi-agent LLM framework for language-based physics simulation and explanation</a>  <font color="#6f6f6f">Nature</font>

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A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics
Naturegeneral

A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wWGFFSHVvcm1VaEFtdmxzcHE3ZG84ZWpvcnphTWtBd2JVZFgxdWdWRkhSY3Z1b2FLNEM0LS10Nk10bVhDRERWZjdUQ2d1T2ZqOE1jYUhRY0ltbjFHRjgw?oc=5" target="_blank">A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics</a>  <font color="#6f6f6f">Nature</font>

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AI-driven integration for deeper subsurface insights
GeoExprotech

AI-driven integration for deeper subsurface insights

<a href="https://news.google.com/rss/articles/CBMif0FVX3lxTE16M2dRY25NWHNLb3hvbXlHVTNXNEJOYUJsVXA1VW1lYlNNMXpFOFpRUTl5WFh3STRCS2pLOWsxLXEwTml4Ui1JQ3dzVVE3WV9hUHNRUGRNcGlmYjV1YXpIWXRIaEFYMGZsdzVuNUFxVXRxS2pYWldNS2N5SjdXdHM?oc=5" target="_blank">AI-driven integration for deeper subsurface insights</a>  <font color="#6f6f6f">GeoExpro</font>

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Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures
Naturetech

Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84VVktNmtuUjFsX1NqbTh0Rkxfb2xPZUJRbHM3dUpVZFF3TWtYQkg2N2ZTVTBWZHJGWmtDTXVPTjVwRnozb19MeDJyM29oOEhaMmxSYmg2RFFmMFNSZWxz?oc=5" target="_blank">Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures</a>  <font color="#6f6f6f">Nature</font>

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Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics
Naturegeneral

Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBiRFVBRzZHbmpWRng5dXJLTEZnUjEwd1kzZHBndXB2ejVtSUJJM19CU2NYQTRScm5HaFVYblA0Z0t5aFpJTWs3Y1pRQmI2UGRKM1BvMVo5cW9PaWYyVGFv?oc=5" target="_blank">Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics</a>  <font color="#6f6f6f">Nature</font>

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Multi-parameter molecular MRI quantification using physics-informed self-supervised learning
Naturegeneral

Multi-parameter molecular MRI quantification using physics-informed self-supervised learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5WdzNFSEwwbmNIWlhOYTVfS29lYnhFMGxzTEhEelpCSWEwd0hEaVpQa1R5THNNWmpvdEVhakhQSnJWd196UjlsUWZvd19VV0VlWVJZb01xdVF5OU5PcmpV?oc=5" target="_blank">Multi-parameter molecular MRI quantification using physics-informed self-supervised learning</a>  <font color="#6f6f6f">Nature</font>

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Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios
Naturegeneral

Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1YQ3dFTkxrYUg3LWtvTzl6YXpIVXcxdGxfWjE5MEVfWGJ1WmMwZEMyX1FIbWdVb3NGb0R2WGllQkRjZjZjVDM2MUZiZi1Xdk1zY3RLVTVSOE5qWmI4VG5J?oc=5" target="_blank">Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios</a>  <font color="#6f6f6f">Nature</font>

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Physics-informed machine learning for spectrum prediction in phosphorescent OLEDs
Naturegeneral

Physics-informed machine learning for spectrum prediction in phosphorescent OLEDs

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1CdDZHdVYwajd0Y25VQWtFcE5xYXl4V3FFZDE1Y2gwdzlRSU4ySE5Mc1lFV1Z0ZjREay00dGtSZXhWYXhwbnVyc0tJdGlHN2pGWlQ2SXRqajEwOEJNRVVn?oc=5" target="_blank">Physics-informed machine learning for spectrum prediction in phosphorescent OLEDs</a>  <font color="#6f6f6f">Nature</font>

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Physics informed machine learning for predictive toxicology and optimization of curcumin nanocarriers
Naturegeneral

Physics informed machine learning for predictive toxicology and optimization of curcumin nanocarriers

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9VblhvUmRhRWpUVFZlUmJiN2Q3S1g5WWR4UEhBQ1R5bk5NTWd4UUl3RnZxOUlwNF9RWm0tX2ZlV2hPaXBOMkVTcnY4WE9sd2VuZWxWQ0dZb2taNUZabm5r?oc=5" target="_blank">Physics informed machine learning for predictive toxicology and optimization of curcumin nanocarriers</a>  <font color="#6f6f6f">Nature</font>

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Efficient PINNs via multi-head unimodular regularization of the solutions space | Communications Physics
Naturescience

Efficient PINNs via multi-head unimodular regularization of the solutions space | Communications Physics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5FX2hPZC1kZmt6MjlMZk9IcnBKd3JOOGdra1c1QXU4ZUQ1Rm5IU1ZBNWdZQUFFOElCbWp5V2llSk14VDYybDBEZFpzYl9PVmVCcW1mcm1NQldFZ1lnNlBR?oc=5" target="_blank">Efficient PINNs via multi-head unimodular regularization of the solutions space | Communications Physics</a>  <font color="#6f6f6f">Nature</font>

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Automated design for physics-informed modeling with convolutional neural networks
Naturegeneral

Automated design for physics-informed modeling with convolutional neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBGbWxvNTB6UUR1N1UyWVZQTDBrVTdIUlhWRmRMejU1Tmtid29kUzhNN3Y0NGdhQS1Qa1VBQjl4cERNQnNNQWR1b2dCVHM0eWx3cGhjMjNZckpGd2tPZUtr?oc=5" target="_blank">Automated design for physics-informed modeling with convolutional neural networks</a>  <font color="#6f6f6f">Nature</font>

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"A physics-informed multi-" — Live Google News Trends & Headlines