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Research Portal of the TU Dresden

Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity

ISSNs: 0178-7675

Additional searchable ISSN (electronic): 1432-0924

Springer Verlag, Germany

Scopus rating (2025): CiteScore 7.7 SJR 1.223 SNIP 1.456

Journal

Titles	Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity Computational Mechanics Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity
Additional searchable titles	Computational mechanics : research journal
ISSNs	0178-7675
Additional searchable ISSN (electronic)	1432-0924
Publisher	Springer Verlag
Country/Territory	Germany
ZDB-ID	1458937-0
ZDB-ID	799787-5

Keywords

ASJC Scopus subject areas

Computational Mechanics
Ocean Engineering
Mechanical Engineering
Computational Theory and Mathematics
Computational Mathematics
Applied Mathematics

Library keywords

530 Physics
004 Computer science

Related content

Research output

Inverse design of spinodoid structures using Bayesian optimization

Raßloff, A., Seibert, P., Kalina, K. A. & Kästner, M., Jan 2026, In: Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 77, 1, p. 275-296 22 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Enforcement of non-conforming dirichlet boundary conditions in the implicit material point method using the direct elimination method

Meyer, J. & Kaliske, M., Dec 2025, In: Computational Mechanics. 76, 6, p. 1573-1594 22 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

A nonlocally-informed locally-scaled method for fracture: numerical implementation to model fragmentation of tempered glass

Kanan, A., Storm, J. & Kaliske, M., Sept 2025, In: Computational Mechanics. 76, 3, p. 745-767 23 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks

Rezaei, S., Moeineddin, A. & Harandi, A., Aug 2024, In: Computational Mechanics. 74, 2, p. 333-366 34 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Viscoelasticty with physics-augmented neural networks: model formulation and training methods without prescribed internal variables

Rosenkranz, M., Kalina, K. A., Brummund, J., Sun, W. & Kästner, M., 6 May 2024, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 74, 6, p. 1279-1301 23 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

View all research output (38)