Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors | Paper Citation Record

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Scientific discovery in the age of artificial intelligence

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Artificial intelligence to win the nobel prize and beyond: Creating the engine for scientific discovery

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Gflownets for ai-driven scientific discovery

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Highly accurate protein structure prediction with AlphaFold

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Artificial intelligence in drug discovery and development

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Quantum machine learning

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Helical microtubules of graphitic carbon

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Electrical conductivity of individual carbon nanotubes

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This paper cites Carbon nanotube transistors scaled to a 40-nanometer footprint.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube transistors scaled to a 40-nanometer footprint

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube transistor technology for More-Moore scaling

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube electronics

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Logic circuits with carbon nanotube transistors

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube computer

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This paper cites High-κ dielectrics for advanced carbon-nanotube transistors and logic gates.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors High-κ dielectrics for advanced carbon-nanotube transistors and logic gates

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube transistors and logic circuits

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube transistor operation at 2.6 GHz

Reference 22

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube radio- frequency electronics

Reference 23

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This paper cites A 1 GHz integrated circuit with carbon nanotube interconnects and silicon transistors.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A 1 GHz integrated circuit with carbon nanotube interconnects and silicon transistors

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This paper cites Gigahertz frequency flexible carbon nanotube transistors.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Gigahertz frequency flexible carbon nanotube transistors

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This paper cites DNA and carbon nanotubes as medicine.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors DNA and carbon nanotubes as medicine

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This paper cites Raman spectroscopy of carbon nanotubes.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Raman spectroscopy of carbon nanotubes

Reference 30

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Raman spectroscopy of graphene and carbon nanotubes

Reference 31

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Raman spectroscopy for carbon nanotube applications

Reference 32

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This paper cites Dispersion of carbon nanotubes with SDS surfactants: a study from a binding energy perspective.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Dispersion of carbon nanotubes with SDS surfactants: a study from a binding energy perspective

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors SDS surfactants on carbon nanotubes: aggregate morphology

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This paper cites Comparative study of the extraction selectivity of PFO-BPy and PCz for small to large diameter single-walled carbon nanotubes.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Comparative study of the extraction selectivity of PFO-BPy and PCz for small to large diameter single-walled carbon nanotubes

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Sorting carbon nanotubes by electronic structure using density differentiation

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Comparative study of carbon nanotube dispersion using surfactants

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Improving the performance and uniformity of carbon-nanotube- network-based photodiodes via yttrium oxide coating and decoating

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Langmuir− Blodgett assembly of densely aligned single-walled carbon nanotubes from bulk materials

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Langmuir− Blodgett films of matrix-diluted single-walled carbon nanotubes

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Small Molecule Additives to Suppress Bundling in Dimensional‐Limited Self‐Alignment Method for High‐Density Aligned Carbon Nanotube Array

Reference 42

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This paper cites Carbon nanotube based radio frequency transistors for K- band amplifiers.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube based radio frequency transistors for K- band amplifiers

Reference 43

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This paper cites Effect of humidity on the hysteresis of single walled carbon nanotube field‐effect transistors.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Effect of humidity on the hysteresis of single walled carbon nanotube field‐effect transistors

Reference 44

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors The role of metal− nanotube contact in the performance of carbon nanotube field-effect transistors

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Contact resistance between metal and carbon nanotube interconnects: Effect of work function and wettability

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Deep learning

Reference 48

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Backpropagation and stochastic gradient descent method

Reference 49

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Adam: A Method for Stochastic Optimization

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Understanding deep learning

Reference 51

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Unresolved cited work

Reference 52

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Variational methods for simulation-based inference

Reference 53

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Truncated proposals for scalable and hassle-free simulation-based inference

Reference 56

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Attention is all you need

Reference 58

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Generative adversarial networks

Reference 59

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Flow network based generative models for non-iterative diverse candidate generation

Reference 61

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

Reference 62

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Trajectory balance: Improved credit assignment in gflownets

Reference 64

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This paper cites Crystal-gfn: sampling crystals with desirable properties and constraints.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Crystal-gfn: sampling crystals with desirable properties and constraints

Reference 65

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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Towards equilibrium molecular conformation generation with GFlowNets

Reference 66

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This paper cites Aligned, high-density semiconducting carbon nanotube arrays for high-performance electronics.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Aligned, high-density semiconducting carbon nanotube arrays for high-performance electronics

Reference 67

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This paper cites Carbon nanotube-based flexible high-speed circuits with sub- nanosecond stage delays.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Carbon nanotube-based flexible high-speed circuits with sub- nanosecond stage delays

Reference 68

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Observation 8599eb29-cfe6-4312-b801-0389e6e0e120 · outbound

This paper cites Complementary transistors based on aligned semiconducting carbon nanotube arrays.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Complementary transistors based on aligned semiconducting carbon nanotube arrays

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.517887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c5cdd138-3c15-4dc1-aa82-3014861b5bbf · outbound

This paper cites Enhancement‐mode field‐effect transistors and high‐speed integrated circuits based on aligned carbon nanotube films.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Enhancement‐mode field‐effect transistors and high‐speed integrated circuits based on aligned carbon nanotube films

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.503164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fad3f6d-4a5c-4fd3-9a20-4a4e6aa37e7e · outbound

This paper cites Gigahertz integrated circuits based on carbon nanotube films.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Gigahertz integrated circuits based on carbon nanotube films

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:07.008408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe36b4a0-a8b3-4600-9688-ad33b527cfa6 · outbound

This paper cites Improving the performance of aligned carbon nanotube-based transistors by refreshing the substrate surface.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Improving the performance of aligned carbon nanotube-based transistors by refreshing the substrate surface

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.488224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c69e78a-3aa4-4f31-a17f-45283383ef86 · outbound

This paper cites Radiofrequency transistors based on aligned carbon nanotube arrays.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Radiofrequency transistors based on aligned carbon nanotube arrays

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.472491Z

Source-reported events for the cited work

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Observation 2b438514-6778-491b-b261-27874a1a6dd7 · outbound

This paper cites Terahertz metal-oxide-semiconductor transistors based on aligned carbon nanotube arrays.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Terahertz metal-oxide-semiconductor transistors based on aligned carbon nanotube arrays

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.455224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f06f8a0e-c578-422f-a501-a4a9eeae0a84 · outbound

This paper cites Towards monochiral carbon nanotubes: A review of progress in the sorting of single-walled carbon nanotubes.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Towards monochiral carbon nanotubes: A review of progress in the sorting of single-walled carbon nanotubes

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.437214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cab49e8d-3105-47e7-ac04-e29ca462af57 · outbound

This paper cites Gel electrophoresis using a selective radical for the separation of single-walled carbon nanotubes.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Gel electrophoresis using a selective radical for the separation of single-walled carbon nanotubes

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.419751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2c7154d-c09c-4997-a913-057bcf228f7c · outbound

This paper cites Polycarbazole-sorted semiconducting single-walled carbon nanotubes for incorporation into organic thin film transistors,.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Polycarbazole-sorted semiconducting single-walled carbon nanotubes for incorporation into organic thin film transistors,

Reference 77

Resolution: verified exact; doi, observed 2026-08-10T18:57:05.657461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1456d6e-3f25-4732-8213-111b412e26cb · outbound

This paper cites Contact resistance between carbon nanotubes.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Contact resistance between carbon nanotubes

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.404480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cd900f65-4570-4180-a277-2552774784a1 · outbound

This paper cites Percolating conduction in finite nanotube networks.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Percolating conduction in finite nanotube networks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.389347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e646e422-2d6c-418a-89ec-c0fe7c0535e6 · outbound

This paper cites Resistive analysis of scattering-dependent electrical transport in single-wall carbon-nanotube networks.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Resistive analysis of scattering-dependent electrical transport in single-wall carbon-nanotube networks

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.373003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a38dfa0b-90ae-419d-9bca-adf8f1a963cc · outbound

This paper cites Charge transport in semiconducting carbon nanotube networks.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Charge transport in semiconducting carbon nanotube networks

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.356927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c913f87d-f3bf-47d1-9afd-d27dd4fd4129 · outbound

This paper cites The frontier of simulation- based inference.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors The frontier of simulation- based inference

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.339759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a563dea-73b0-442b-ab98-47b19d7cba08 · outbound

This paper cites SBI -- A toolkit for simulation-based inference.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors SBI -- A toolkit for simulation-based inference

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T18:57:05.469789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e016593-6a2b-48f5-b649-dac141741452 · outbound

This paper cites Fast ε-free inference of simulation models with bayesian conditional density estimation.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Fast ε-free inference of simulation models with bayesian conditional density estimation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.319533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1fd3c6c-7e07-41e2-b6cf-02e470d21904 · outbound

This paper cites Flexible statistical inference for mechanistic models of neural dynamics.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Flexible statistical inference for mechanistic models of neural dynamics

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.301614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f619573e-55f6-4cb0-b0c6-62c081c113ba · outbound

This paper cites A review and analysis of electrical percolation in carbon nanotube polymer composites.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A review and analysis of electrical percolation in carbon nanotube polymer composites

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.284315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1012862f-25bd-4fee-bcaa-b67785186a7a · outbound

This paper cites Percolation in transparent and conducting carbon nanotube networks.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Percolation in transparent and conducting carbon nanotube networks

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.267847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4edf946-4fc6-4539-993c-dd50a06a45e7 · outbound

This paper cites an unresolved cited work.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:57:06.250389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 970d10c4-eeca-4882-91c0-5ff6ce32adea · outbound

This paper cites A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application—Part I: Model of the intrinsic channel region.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application—Part I: Model of the intrinsic channel region

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.234548Z

Source-reported events for the cited work

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Observation 1607a9c1-c468-4c95-a901-133cce16b319 · outbound

This paper cites A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application—Part II: Full device model and circuit performance benchmarking.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application—Part II: Full device model and circuit performance benchmarking

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.218630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea35fe9b-7659-4b01-b038-c1ddfc8dc29c · outbound

This paper cites A compact virtual-source model for carbon nanotube FETs in the sub-10-nm regime—Part I: Intrinsic elements.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A compact virtual-source model for carbon nanotube FETs in the sub-10-nm regime—Part I: Intrinsic elements

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.203471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 93be9468-2761-4039-b3e8-d5ee31224c78 · outbound

This paper cites A compact virtual-source model for carbon nanotube FETs in the sub-10-nm regime—Part II: Extrinsic elements, performance assessment, and design optimization.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A compact virtual-source model for carbon nanotube FETs in the sub-10-nm regime—Part II: Extrinsic elements, performance assessment, and design optimization

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.187766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23462eaa-33dc-4962-9fc2-8612f843d25a · outbound

This paper cites an unresolved cited work.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:57:06.171449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 353a38d5-d0d3-4586-8771-dc8fb780129a · outbound

This paper cites Fabrication of carbon nanotube field-effect transistors in commercial silicon manufacturing facilities.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Fabrication of carbon nanotube field-effect transistors in commercial silicon manufacturing facilities

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.153467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5731c5db-0d25-405e-a81e-b66aada05ad8 · outbound

This paper cites Defining and overcoming the contact resistance challenge in scaled carbon nanotube transistors.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Defining and overcoming the contact resistance challenge in scaled carbon nanotube transistors

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.132678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb367f9b-9391-44dd-be34-dac5b508470b · outbound

This paper cites CircuitScribe: Block Diagram based Circuit Simulation Application,.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors CircuitScribe: Block Diagram based Circuit Simulation Application,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.116081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 83119ef6-61f5-4b0a-96cc-7ab5c08caa91 · outbound

This paper cites Comparative Analysis of Software Environments for Computer Modeling in Electrical and Electronic Engineering,.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Comparative Analysis of Software Environments for Computer Modeling in Electrical and Electronic Engineering,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.100978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46ed7bf6-51c1-4f48-a2ac-1caf7c63d578 · outbound

This paper cites Optimizing transistor performance of percolating carbon nanotube networks,.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Optimizing transistor performance of percolating carbon nanotube networks,

Reference 98

Resolution: verified exact; doi, observed 2026-08-10T18:57:05.640632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4aeab3f5-5d6f-4ba5-bbab-d8374f00357b · outbound

This paper cites an unresolved cited work.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:57:06.085235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f296ff60-36aa-4522-822f-c73ed12b33de · outbound

This paper cites an unresolved cited work.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:57:06.070376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01bd3b33-03a4-4a41-bf45-b96e84a6f1dc · outbound

This paper cites Innovation: The future of silicon technology.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Innovation: The future of silicon technology

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.054535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17eec71d-0d5f-4565-8811-11c13d9fecf4 · outbound

This paper cites A.; Lundstrom, M.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A.; Lundstrom, M

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.037645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d314d2cf-8325-44e9-8b67-15db66708dd7 · outbound

This paper cites A.; Colinge, J.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors A.; Colinge, J

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.019859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be6b5e8c-6353-40f7-9f8a-19b237d2878f · outbound

This paper cites Subband structure engineering for performance enhancement of Si MOSFETs.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Subband structure engineering for performance enhancement of Si MOSFETs

Reference 104

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:06.002247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a6ed4df-8163-4b28-90ea-c20bf989ce8e · outbound

This paper cites an unresolved cited work.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Unresolved cited work

Reference 105

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:57:05.985861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d2ab983-cf3d-4470-b008-dab78d16228e · outbound

This paper cites J.; Tersoff, J.; Franklin, A.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors J.; Tersoff, J.; Franklin, A

Reference 106

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:05.968267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ab0571f-242a-43ad-a536-2cbc7e4d0302 · outbound

This paper cites Physics of carbon nanotube electronic devices.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Physics of carbon nanotube electronic devices

Reference 107

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:05.949629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e267a334-bc39-4303-a83c-bcb1a3930525 · outbound

This paper cites Metallization considerations for carbon nanotube device optimization.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Metallization considerations for carbon nanotube device optimization

Reference 108

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:05.933410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 262b534c-6c1e-4965-868a-f15762710dd8 · outbound

This paper cites Interpolation and extrapolation.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Interpolation and extrapolation

Reference 109

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:05.916839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e2f6029-6246-487e-bf19-8b68f0e823ec · outbound

This paper cites Applied Numerical Methods with MATLAB® for Engineers and Scientists.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Applied Numerical Methods with MATLAB® for Engineers and Scientists

Reference 110

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:05.899366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 728adac6-afc4-492e-b675-423976565ce1 · outbound

This paper cites ON THE CHARGE-SHEET MODEL OF THE THIN-FILM MOSfET.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors ON THE CHARGE-SHEET MODEL OF THE THIN-FILM MOSfET

Reference 111

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:57:05.882204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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