Tom Lahmer

Mechanics of Materials · 2014–2017

A researcher in the Science corpus: 8 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Mechanics of Materials — 48 citations into it
• Materials Chemistry — 42 citations into it

Whom Tom Lahmer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Plimpton
2. Nam Vu-Bac
3. S. Frankland
4. Martin Burger
5. Timon Rabczuk
6. Grégoire Allaire
7. Pedro Areias
8. Stanley J. Osher
9. Asa H. Barber

Who trusts Tom Lahmer overall

1. Nam Vu-Bac

Papers from Tom Lahmer's perspective

Ordered by how strongly the researchers Tom Lahmer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Single‐Walled Carbon Nanotube–Polymer Composites: Strength and Weakness
2. Load transfer and deformation mechanisms in carbon nanotube-polystyrene composites
3. Interfacial characteristics of a carbon nanotube–polystyrene composite system
4. Interfacial fracture energy measurements for multi-walled carbon nanotubes pulled from a polymer matrix
5. Distribution and alignment of carbon nanotubes and nanofibrils in a polymer matrix
6. Fast parallel algorithms for short-range molecular dynamics
7. Constitutive models of rubber elasticity: A review
8. Canonical dynamics: Equilibrium phase-space distributions.
9. Pull-out simulations on interfacial properties of carbon nanotube-reinforced polymer nanocomposites
10. Molecular dynamics simulations of deformation mechanisms of amorphous polyethylene

Their papers

• Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters (2015) — 259 citations
• Hybrid nonlinear surrogate models for fracture behavior of polymeric nanocomposites (2017) — 47 citations
• Detection of material interfaces using a regularized level set method in piezoelectric structures (2016) — 242 citations
• A software framework for probabilistic sensitivity analysis for computationally expensive models (2016) — 641 citations
• Predicting the fracture toughness of PNCs: A stochastic approach based on ANN and ANFIS (2015) — 117 citations
• A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites (2015) — 198 citations
• Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs) (2014) — 183 citations
• Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations (2014) — 163 citations