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A comprehensive review of finite element modeling of orthogonal machining process: chip formation and surface integrity predictions

Submitted by sadeghifar.morteza on
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For researchers and industrialists being active and/or interested in finite element modeling of machining operations and surface integrity:

https://link.springer.com/article/10.1007/s00170-018-1759-6

EML Webinar by Prof. Robert Wood on June 3, 2020: The Mechanical Side of Artificial Intelligence

Submitted by Teng Li on
research
EML Webinar
EML

EML Webinar on June 3, 2020 will be given by Prof. Rob Wood at Harvard University via Zoom meeting. Discussion leader: Rob Howe, Harvard.

Title: The mechanical side of artificial intelligence

Time: 7 am California, 10 am Boston, 3 pm London, 10 pm Beijing on June 3, 2020

On the elastocaloric effect in CuAlBe shape memory alloys: A quantitative phase-field modeling approach

Submitted by mohsenzaeem on
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Elastocaloric; Phase-Field Modeling; CuAlBe

C. Cissé and M. Asle Zaeem. On the elastocaloric effects in CuAlBe shape memory alloys: A quantitative phase-field modeling approach. Computational Materials Science 183 (2020) 109808 (12 pages). 

 

Mechanobiology predicts raft formations triggered by ligand-receptor activity across the cell membrane

Submitted by Luca-Deseri on
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Ligand-receptor; Lipid rafts; Cell membrane; G-protein coupled receptors; GPCR; Mechanobiology; Structured deformations; SARS-CoV-2

Carotenuto A., Lunghi L., Piccolo V., Babaei M., Dayal K., Pugno N. M., Zingales M., Deseri L.*, Fraldi M. Mechanobiology predicts raft formations triggered by ligand-receptor activity across the cell membrane, Journal of the Mechanics and Physics of Solids 141 (2020) 103974 https://doi.org/10.1016/j.jmps.2020.103974
*Corresponding Author

SciANN: Scientific computations and physics-informed deep learning using artificial neural networks

Submitted by haghighat on
research
deep learning
neural networks
physics-informed
elasticity
Plasticity
variational
PINN
regression

Interested in deep learning, scientific computations, solution, and inversion methods for PDE? 

Check out the preprint at: 

https://www.researchgate.net/publication/341478559_SciANN_A_Keras_wrapp…

 

 

Some problems are shared in our GitHub repository on how to use sciann for inversion and forward solution of:

Announcing the Inaugural CMES Young Researcher Award

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Announcing the Inaugural CMES Young Researcher Award

 

The first ever Computer Modeling in Engineering and Science Young Researcher Award recognizes outstanding research in computer modeling and simulation by a 2020 Computer Modeling in Engineering and Science author or coauthors.

Eligibility Requirements:

Announcing the Inaugural CMES Young Researcher Award

Submitted by ehsan173 on
research

 

 

Announcing the Inaugural CMES Young Researcher Award

 

The first ever Computer Modeling in Engineering and Science Young Researcher Award recognizes outstanding research in computer modeling and simulation by a 2020 Computer Modeling in Engineering and Science author or coauthors.

Eligibility Requirements:

EML Webinar by Prof. Norman Fleck on May 27, 2020

Submitted by Teng Li on
research
EML Webinar
EML

EML Webinar on May 27, 2020 will be given by Prof. Norman Fleck at the University of Cambridge via Zoom meeting. Discussion leader: Vikram Deshpande, Cambridge.

Title: New Horizons in Microarchitectured Materials

Time: 7 am California, 10 am Boston, 3 pm London, 10 pm Beijing on May 20, 2020

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