Kornel F. Ehmann
Mechanical Engineering · 2004–2019
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Mechanical Engineering — 64 citations into it; #4,230 of 8,300 by trust here, #3,722 by citations
- Biomedical Engineering — 50 citations into it; #5,395 of 10,734 by trust here, #4,866 by citations
- Electrical and Electronic Engineering — 50 citations into it
- Mechanics of Materials — 20 citations into it; #3,611 of 6,291 by trust here, #4,595 by citations
Whom Kornel F. Ehmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kornel F. Ehmann overall
Papers from Kornel F. Ehmann's perspective
Ordered by how strongly the researchers Kornel F. Ehmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Folding DNA into Twisted and Curved Nanoscale Shapes (Science)
- DNA-Templated Self-Assembly of Protein Arrays and Highly Conductive Nanowires (Science)
- Accurate design of coassembling multi-component protein nanomaterials
- DNA Origami with Complex Curvatures in Three-Dimensional Space (Science)
- Modelling and experimental investigation on nanometric cutting of monocrystalline silicon
- Atomic layer deposition: an overview. (Chemical Reviews)
- Gate-induced quantum-confinement transition of a single dopant atom in a silicon FinFET
- Analytical modeling of single electron transistor for hybrid CMOS-SET analog IC design (IEEE Transactions on Electron Devices)
- A brief review of atomic layer deposition: from fundamentals to applications
Their papers
- An analysis of the surface generation mechanics of the elliptical vibration texturing process (2013) — 187 citations
- The Mechanics of Machining at the Microscale: Assessment of the Current State of the Science (2004) — 493 citations
- Towards atomic and close-to-atomic scale manufacturing (2019) — 158 citations
- Deep learning predicts path-dependent plasticity (2019) — 569 citations
- Cutting forces in micro-end-milling processes (2016) — 192 citations
- Machining of Carbon Fiber Reinforced Plastics/Polymers: A Literature Review (2014) — 342 citations