NSTL国家科技图书文献中心

1. Physics-Informed Machine Learning Part I: Different Strategies to Incorporate Physics into Engineering Problems NSTL国家科技图书文献中心

Eleonora Maria Tronc... | Austin R. J. Downey ... - 《Data Science in Engineering,Vol.10》 - IMAC Conference and Exposition on Structural Dynamics - 2025, - 1～6 - 共6页

摘要：Physics-informed machine learning (PIML) is a | methodology that combines principles from physics* with* | process, physics-informed machine learning enables more | classify physics-informed strategies. In this overview | , seven strategies will be covered: physics-constrained

关键词： Physics-informed | First-principle | Machine learning

2. Biological physics to uncover cell signaling NSTL国家科技图书文献中心

Dawson, Silvina Ponc... - 《Biophysical reviews》 - 2025,17(2) - 271～283 - 共13页

摘要： tools of biological physics. The report covers part of | experimental work highlighting how the tools of physics* can* | In this report, I describe some of the | subjects and problems that we have addressed over the | last 25 years in the area of cell signaling using the

关键词： Biological physics | Cell signaling | Information

3. HelioIndex: A Directory of Active Researchers in Solar and Heliospheric Physics NSTL国家科技图书文献中心

Young, Peter R. - 《Solar physics》 - 2025,300(6) - 共15页

摘要： active in solar and heliospheric physics* (SHP). It is* | % of HelioIndex authors belong to solar physics* and* | heliospheric physics, respectively, with the remainder | HelioIndex is a directory of authors who are | available at the webpage HelioIndex.org, and it includes

关键词： Solar physics | Heliospheric physics | Scientific publishing | Researcher directory | ORCID | Bibliometrics

4. Investigation of students repeating calculus-based introductory physics courses by gender, ethnicity and race NSTL国家科技图书文献中心

Santana, Lisabeth Ma... | Malespina, Alysa ... - 《European journal of physics》 - 2025,46(1) - 共27页

摘要： introductory calculus-based physics* courses at a large public* | , chemistry, physics, computer science, and mathematics. The | data were analyzed from two introductory physics | these introductory calculus-based physics* courses and* | for the physics* courses. These findings can help*

关键词： equity | repeaters | physics education | introductory physics courses | marginalized groups | introductory calculus courses

5. Physics-Informed Computer Vision: A Review and Perspectives NSTL国家科技图书文献中心

CHAYAN BANERJEE | KIEN NGUYEN ... - 《ACM computing surveys》 - 2025,57(1) - 17.1～17.38 - 共38页 - 被引量：1

摘要： application of the physics-informed capability, highlighting | where physics-informed learning has been conducted and | physics-informed computer vision has the promise to | The incorporation of physical information in | machine learning frameworks is opening and transforming

关键词： Physics-informed | physics-guided | physics-aware | computer vision | machine learning | deep learning

6. Physics-Informed Machine Learning for metal additive manufacturing NSTL国家科技图书文献中心

Farrag, Abdelrahman | Yang, Yuxin ... - 《Progress in Additive Manufacturing》 - 2025,10(1) - 171～185 - 共15页

摘要： of existing physics-based and data-driven methods | Physics-Informed Machine Learning (PIML) as a | significant recent development, embedding physics* knowledge* | classifies PIML into three categories, emphasizing physics | integration in terms of Physics-Informed Domain Knowledge

关键词： Machine Learning | Additive manufacturing | Physics-Informed Machine Learning | Deep Neural Networks | Physics-Informed Neural Networks

7. Learning Climbing Controllers for Physics-Based Characters NSTL国家科技图书文献中心

Kang, Kyungwon | Gu, Taehong ... - 《Computer Graphics Forum》 - 2025,44(1) - n/a～n/a - 共13页

摘要： challenges, this paper introduces a physics-based climbing | Despite the growing demand for capturing | diverse motions, collecting climbing motion data remains | challenging due to difficulties in tracking obscured markers | and scanning climbing structures. Additionally

关键词： climbing | motion synthesis | physics-based character control | physics‐based character control

8. Rock physics of shales: applications in geomechanics* NSTL国家科技图书文献中心

Michinori Asaka - 《石油技術協会誌》 - 2025,90(1) - 13～20 - 共8页

摘要： physics of shales. Subsequently, I discuss the effects | rock physics* in this setting.* | Shale formations act as barriers in carbon | capture and storage (CCS) and serve as seal rocks in | conventional oil and gas fields. Understanding their elastic

关键词： shale | rock physics | anisotropy | wellbore stability | reservoir geomechanics

9. Applied Mathematical Modelling in the Physics Problem-Solving Classroom NSTL国家科技图书文献中心

Annarosa Serpe - 《Numerical Computations,Part III》 - International Conference on Numerical Computations: Theory and Algorithms - 2025, - 193～206 - 共14页

摘要： students on how to capture the interplay between Physics | Physics are understood as forms of knowledge that have | This paper aims to contribute to the | literature on planning and implementing mathematical | modelling tasks in the higher education curriculum

关键词： Higher education | Mathematical modelling | Physics problem-solving

10. Physics-informed machine learning for grade prediction in froth flotation NSTL国家科技图书文献中心

Nasiri, Mahdi | Iqbal, Sahel ... - 《Minerals Engineering》 - 2025,227 - 109297～ - 共12页

摘要：In this paper, physics-informed neural network | deep learning methods to construct physics-informed | with physics-based simulations, with data collected | , the top-performing physics-informed neural network | models are developed to predict the concentrate gold

摘要：Physics-informed machine learning (PIML) is a | methodology that combines principles from physics* with* | process, physics-informed machine learning enables more | classify physics-informed strategies. In this overview | , seven strategies will be covered: physics-constrained

关键词： Physics-informed | First-principle | Machine learning

摘要： tools of biological physics. The report covers part of | experimental work highlighting how the tools of physics* can* | In this report, I describe some of the | subjects and problems that we have addressed over the | last 25 years in the area of cell signaling using the

关键词： Biological physics | Cell signaling | Information

摘要： active in solar and heliospheric physics* (SHP). It is* | % of HelioIndex authors belong to solar physics* and* | heliospheric physics, respectively, with the remainder | HelioIndex is a directory of authors who are | available at the webpage HelioIndex.org, and it includes

关键词： Solar physics | Heliospheric physics | Scientific publishing | Researcher directory | ORCID | Bibliometrics

摘要： introductory calculus-based physics* courses at a large public* | , chemistry, physics, computer science, and mathematics. The | data were analyzed from two introductory physics | these introductory calculus-based physics* courses and* | for the physics* courses. These findings can help*

关键词： equity | repeaters | physics education | introductory physics courses | marginalized groups | introductory calculus courses

摘要： application of the physics-informed capability, highlighting | where physics-informed learning has been conducted and | physics-informed computer vision has the promise to | The incorporation of physical information in | machine learning frameworks is opening and transforming

关键词： Physics-informed | physics-guided | physics-aware | computer vision | machine learning | deep learning

摘要： of existing physics-based and data-driven methods | Physics-Informed Machine Learning (PIML) as a | significant recent development, embedding physics* knowledge* | classifies PIML into three categories, emphasizing physics | integration in terms of Physics-Informed Domain Knowledge

关键词： Machine Learning | Additive manufacturing | Physics-Informed Machine Learning | Deep Neural Networks | Physics-Informed Neural Networks

摘要： challenges, this paper introduces a physics-based climbing | Despite the growing demand for capturing | diverse motions, collecting climbing motion data remains | challenging due to difficulties in tracking obscured markers | and scanning climbing structures. Additionally

关键词： climbing | motion synthesis | physics-based character control | physics‐based character control

摘要： physics of shales. Subsequently, I discuss the effects | rock physics* in this setting.* | Shale formations act as barriers in carbon | capture and storage (CCS) and serve as seal rocks in | conventional oil and gas fields. Understanding their elastic

关键词： shale | rock physics | anisotropy | wellbore stability | reservoir geomechanics

摘要： students on how to capture the interplay between Physics | Physics are understood as forms of knowledge that have | This paper aims to contribute to the | literature on planning and implementing mathematical | modelling tasks in the higher education curriculum

关键词： Higher education | Mathematical modelling | Physics problem-solving

摘要：In this paper, physics-informed neural network | deep learning methods to construct physics-informed | with physics-based simulations, with data collected | , the top-performing physics-informed neural network | models are developed to predict the concentrate gold

关键词： Machine learning | Physics-informed neural networks | Froth flotation | Predictive modeling

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Physics-informed machine learning (PIML) is a | methodology that combines principles from physics with | process, physics-informed machine learning enables more | classify physics-informed strategies. In this overview | , seven strategies will be covered: physics-constrained

关键词： Physics-informed | First-principle | Machine learning

摘要： tools of biological physics. The report covers part of | experimental work highlighting how the tools of physics can | In this report, I describe some of the | subjects and problems that we have addressed over the | last 25 years in the area of cell signaling using the

关键词： Biological physics | Cell signaling | Information

摘要： active in solar and heliospheric physics (SHP). It is | % of HelioIndex authors belong to solar physics and | heliospheric physics, respectively, with the remainder | HelioIndex is a directory of authors who are | available at the webpage HelioIndex.org, and it includes

关键词： Solar physics | Heliospheric physics | Scientific publishing | Researcher directory | ORCID | Bibliometrics

摘要： introductory calculus-based physics courses at a large public | , chemistry, physics, computer science, and mathematics. The | data were analyzed from two introductory physics | these introductory calculus-based physics courses and | for the physics courses. These findings can help

关键词： equity | repeaters | physics education | introductory physics courses | marginalized groups | introductory calculus courses

摘要： application of the physics-informed capability, highlighting | where physics-informed learning has been conducted and | physics-informed computer vision has the promise to | The incorporation of physical information in | machine learning frameworks is opening and transforming

关键词： Physics-informed | physics-guided | physics-aware | computer vision | machine learning | deep learning

摘要： of existing physics-based and data-driven methods | Physics-Informed Machine Learning (PIML) as a | significant recent development, embedding physics knowledge | classifies PIML into three categories, emphasizing physics | integration in terms of Physics-Informed Domain Knowledge

关键词： Machine Learning | Additive manufacturing | Physics-Informed Machine Learning | Deep Neural Networks | Physics-Informed Neural Networks

摘要： challenges, this paper introduces a physics-based climbing | Despite the growing demand for capturing | diverse motions, collecting climbing motion data remains | challenging due to difficulties in tracking obscured markers | and scanning climbing structures. Additionally

关键词： climbing | motion synthesis | physics-based character control | physics‐based character control

摘要： physics of shales. Subsequently, I discuss the effects | rock physics in this setting. | Shale formations act as barriers in carbon | capture and storage (CCS) and serve as seal rocks in | conventional oil and gas fields. Understanding their elastic

关键词： shale | rock physics | anisotropy | wellbore stability | reservoir geomechanics

摘要： students on how to capture the interplay between Physics | Physics are understood as forms of knowledge that have | This paper aims to contribute to the | literature on planning and implementing mathematical | modelling tasks in the higher education curriculum

关键词： Higher education | Mathematical modelling | Physics problem-solving

摘要：In this paper, physics-informed neural network | deep learning methods to construct physics-informed | with physics-based simulations, with data collected | , the top-performing physics-informed neural network | models are developed to predict the concentrate gold

关键词： Machine learning | Physics-informed neural networks | Froth flotation | Predictive modeling

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Physics-informed machine learning (PIML) is a | methodology that combines principles from physics* with* | process, physics-informed machine learning enables more | classify physics-informed strategies. In this overview | , seven strategies will be covered: physics-constrained

摘要： tools of biological physics. The report covers part of | experimental work highlighting how the tools of physics* can* | In this report, I describe some of the | subjects and problems that we have addressed over the | last 25 years in the area of cell signaling using the

摘要： active in solar and heliospheric physics* (SHP). It is* | % of HelioIndex authors belong to solar physics* and* | heliospheric physics, respectively, with the remainder | HelioIndex is a directory of authors who are | available at the webpage HelioIndex.org, and it includes

摘要： introductory calculus-based physics* courses at a large public* | , chemistry, physics, computer science, and mathematics. The | data were analyzed from two introductory physics | these introductory calculus-based physics* courses and* | for the physics* courses. These findings can help*

摘要： of existing physics-based and data-driven methods | Physics-Informed Machine Learning (PIML) as a | significant recent development, embedding physics* knowledge* | classifies PIML into three categories, emphasizing physics | integration in terms of Physics-Informed Domain Knowledge

摘要： physics of shales. Subsequently, I discuss the effects | rock physics* in this setting.* | Shale formations act as barriers in carbon | capture and storage (CCS) and serve as seal rocks in | conventional oil and gas fields. Understanding their elastic