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Abueidda, Diab
24  Ergebnisse:
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1

Material-Response-Informed DeepONet and its Application to ..:

He, Junyan ; Pal, Deepankar ; Najafi, Ali...
http://arxiv.org/abs/2401.09977.  , 2024
Link: http://arxiv.org/abs/240..
 
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2

Novel DeepONet architecture to predict stresses in elastopl..:

He, Junyan ; Koric, Seid ; Kushwaha, Shashank...
http://arxiv.org/abs/2306.03645.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

Designing impact-resistant bio-inspired low-porosity struct..:

Kushwaha, Shashank ; He, Junyan ; Abueidda, Diab.
http://arxiv.org/abs/2307.00986.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Sequential Deep Operator Networks (S-DeepONet) for Predicti..:

He, Junyan ; Kushwaha, Shashank ; Park, Jaewan...
http://arxiv.org/abs/2306.08218.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Predictions of Transient Vector Solution Fields with Sequen..:

He, Junyan ; Kushwaha, Shashank ; Park, Jaewan...
http://arxiv.org/abs/2311.11500.  , 2023
Link: http://arxiv.org/abs/231..
 
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6

On the use of graph neural networks and shape-function-base..:

He, Junyan ; Abueidda, Diab ; Koric, Seid.
http://arxiv.org/abs/2207.07216.  , 2022
Link: http://arxiv.org/abs/220..
 
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7

LatticeOPT: A heuristic topology optimization framework for..:

He, Junyan ; Kushwaha, Shashank ; Abueidda, Diab.
http://arxiv.org/abs/2205.14832.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Exploring the structure-property relations of thin-walled, ..:

He, Junyan ; Kushwaha, Shashank ; Abueidda, Diab.
http://arxiv.org/abs/2205.06761.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Deep energy method in topology optimization applications:

He, Junyan ; Kushwaha, Shashank ; Chadha, Charul...
http://arxiv.org/abs/2207.03072.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

A deep learning energy-based method for classical elastopla..:

He, Junyan ; Abueidda, Diab ; Al-Rub, Rashid Abu..
http://arxiv.org/abs/2209.06467.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Gyroid-like metamaterials: Topology optimization and Deep L..:

Viswanath, Asha ; Abueidda, Diab W ; Modrek, Mohamad...
http://arxiv.org/abs/2303.10007.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

I-FENN for thermoelasticity based on physics-informed tempo..:

Abueidda, Diab W ; Mobasher, Mostafa E
http://arxiv.org/abs/2305.17799.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Enhanced physics-informed neural networks for hyperelastici..:

Abueidda, Diab W ; Koric, Seid ; Guleryuz, Erman.
http://arxiv.org/abs/2205.14148.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

A deep learning energy method for hyperelasticity and visco..:

Abueidda, Diab W ; Koric, Seid ; Al-Rub, Rashid Abu...
http://arxiv.org/abs/2201.08690.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Surrogate Neural Network Model for Sensitivity Analysis and..:

Shahane, Shantanu ; Guleryuz, Erman ; Abueidda, Diab W...
http://arxiv.org/abs/2201.09659.  , 2022
Link: http://arxiv.org/abs/220..
 
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