Publications by authors named "Timothy Erps"
We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation between non-cognate antibodies prevents the rise of reagent-driven cross-reactivity, while read-out is performed cost-efficiently and at high-throughput using flow cytometry.
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- - Polymers have complex molecular structures that impact their properties and applications, but current design models struggle to represent them fully due to their complexity and scale.
- - The proposed PolyGrammar uses a parametric grammar with 14 production rules and symbolic hypergraph representations to generate all valid polyurethane structures and translate them from SMILES format.
- - PolyGrammar not only showcases the ability to represent a wide range of polymer structures but also sets the groundwork for developing similar grammars for other types of molecules, making it a significant advancement in polymer discovery.
Article Synopsis
- Additive manufacturing is an advanced fabrication technology that can create products previously deemed impossible but currently faces limitations due to material performance trade-offs.
- The traditional method of designing materials relies heavily on human intuition, which often leads to suboptimal results.
- A new machine learning-based approach utilizes a multiobjective optimization algorithm to enhance material discovery, resulting in 12 optimal formulations found through only 30 experiments, significantly expanding the range of performance options available.