Authors:
Huber, N
Heitz, J
Bauerle, D
Schwodiauer, R
Bauer, S
Niino, H
Yabe, A
Citation: N. Huber et al., Chemical composition and charge stability of highly crystalline pulsed-laser-deposited polytetrafluoroethylene films on metal substrates, APPL PHYS A, 72(5), 2001, pp. 581-585
Citation: N. Huber et C. Tsakmakis, A neural network tool for identifying the material parameters of a finite deformation viscoplasticity model with static recovery, COMPUT METH, 191(3-5), 2001, pp. 353-384
Citation: N. Huber et al., Determination of Poisson's ratio by spherical indentation using neural networks - Part I: Theory, J APPL MECH, 68(2), 2001, pp. 218-223
Citation: N. Huber et C. Tsakmakis, Determination of Poisson's ratio by spherical indentation using neural networks - Part II: Identification method, J APPL MECH, 68(2), 2001, pp. 224-229
Citation: N. Huber et C. Tsakmakis, Discussion of finite deformation viscoelasticity laws with reference to torsion loading, CONTIN MECH, 12(5), 2000, pp. 303-323
Authors:
Huber, N
Gruber, J
Arnold, N
Heitz, J
Bauerle, D
Citation: N. Huber et al., Time-resolved photography of the plasma-plume and ejected particles in laser ablation of polytetrafluoroethylene, EUROPH LETT, 51(6), 2000, pp. 674-678
Citation: N. Huber et al., Determination of constitutive properties of thin metallic films on substrates by spherical indentation using neural networks, INT J SOL S, 37(44), 2000, pp. 6499-6516
Citation: N. Huber et C. Tsakmakis, Determination of constitutive properties from spherical indentation data using neural networks. Part I: the case of pure kinematic hardening in plasticity laws, J MECH PHYS, 47(7), 1999, pp. 1569-1588
Citation: N. Huber et C. Tsakmakis, Determination of constitutive properties from spherical indentation data using neural networks. Part II: plasticity with nonlinear isotropic and kinematic hardening, J MECH PHYS, 47(7), 1999, pp. 1589-1607