Machine learning delta-T noise for temperature bias estimation | Paper Citation Record

Observation b9542b44-0f23-4d9e-bc8a-4e846ae0b722 · outbound

This paper cites The Journal of Physical Chemistry A/B/C Virtual Special Issue on Machine Learning in Physical Chemistry,.

Machine learning delta-T noise for temperature bias estimation The Journal of Physical Chemistry A/B/C Virtual Special Issue on Machine Learning in Physical Chemistry,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.978784Z

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Observation 17bf0f41-d345-44bf-bed3-0f146f5c0cee · outbound

This paper cites Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2,.

Machine learning delta-T noise for temperature bias estimation Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.968847Z

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Observation f556d2e9-b2e6-461a-9a55-76dc03861a74 · outbound

This paper cites Single-molecule quantum-transport phenomena in break junctions,.

Machine learning delta-T noise for temperature bias estimation Single-molecule quantum-transport phenomena in break junctions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.959168Z

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Observation 765dbea0-dd27-49cb-a03f-a84f94b9c662 · outbound

This paper cites Vibrational and electronic heating in nanoscale junc- tions,.

Machine learning delta-T noise for temperature bias estimation Vibrational and electronic heating in nanoscale junc- tions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.948805Z

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Observation 8eccb9c2-0c1e-4e4d-9834-d0c0c011747a · outbound

This paper cites Electron-Vibration Interaction in Single-Molecule Junctions: From Contact to Tunneling Regimes,.

Machine learning delta-T noise for temperature bias estimation Electron-Vibration Interaction in Single-Molecule Junctions: From Contact to Tunneling Regimes,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.939493Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbc54bdf-4dd4-4c24-a966-a5f2709d8c26 · outbound

This paper cites Non-chemisorbed gold–sulfur binding prevails in self-assembled monolay- ers,.

Machine learning delta-T noise for temperature bias estimation Non-chemisorbed gold–sulfur binding prevails in self-assembled monolay- ers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.930546Z

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Observation 45f66712-7a69-4e1d-84dd-06d6f924f8a6 · outbound

This paper cites Single-molecule junctions map the interplay between electrons and chirality.

Machine learning delta-T noise for temperature bias estimation Single-molecule junctions map the interplay between electrons and chirality

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:38:08.348742Z

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Observation f00cd443-5ac0-4a51-944d-3787f84beacc · outbound

This paper cites Evaluating the Ability of External Elec- tric Fields to Accelerate Reactions in Solution,.

Machine learning delta-T noise for temperature bias estimation Evaluating the Ability of External Elec- tric Fields to Accelerate Reactions in Solution,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.921568Z

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Observation a9358453-eca8-4fdb-ac5d-5a4ae5389cd7 · outbound

This paper cites Trusting our machines: validating machine learning models for single-molecule transport experi- ments,.

Machine learning delta-T noise for temperature bias estimation Trusting our machines: validating machine learning models for single-molecule transport experi- ments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.911798Z

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Observation c19a2b29-17b2-4c88-88d3-59842502c00d · outbound

This paper cites predic- tive.

Machine learning delta-T noise for temperature bias estimation predic- tive

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.988501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eea7ede1-d7d5-4b6a-b6ce-13b9817b9a3b · outbound

This paper cites Classification of conductance traces with recurrent neural networks,.

Machine learning delta-T noise for temperature bias estimation Classification of conductance traces with recurrent neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.892520Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 019f6a8c-2c7a-46ac-88e8-e740ae9b7540 · outbound

This paper cites Machine learning and analytical methods for single-molecule conductance measurements,.

Machine learning delta-T noise for temperature bias estimation Machine learning and analytical methods for single-molecule conductance measurements,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.902302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4435c0c-4a15-418a-9d20-00766d119bd9 · outbound

This paper cites Unsupervised classification of single-molecule data with autoencoders and transfer learning,.

Machine learning delta-T noise for temperature bias estimation Unsupervised classification of single-molecule data with autoencoders and transfer learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.872487Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ebe88c53-3559-493b-8032-1cddd0fc17b0 · outbound

This paper cites A reference-free clustering method for the analysis of molec- ular break-junction measurements,.

Machine learning delta-T noise for temperature bias estimation A reference-free clustering method for the analysis of molec- ular break-junction measurements,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.882386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9f3f9bb-e5e4-4c86-bf6e-d2602ea24999 · outbound

This paper cites Spectral Clustering to Analyze the Hidden Events in Single-Molecule Break Junctions,.

Machine learning delta-T noise for temperature bias estimation Spectral Clustering to Analyze the Hidden Events in Single-Molecule Break Junctions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.852792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 775e7cc8-7633-49db-804c-1a9edbae7785 · outbound

This paper cites Automatic classi- fication of single-molecule charge transport data with an unsupervised machine-learning algorithm,.

Machine learning delta-T noise for temperature bias estimation Automatic classi- fication of single-molecule charge transport data with an unsupervised machine-learning algorithm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.862280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b807f5dd-b68e-489c-b1df-ad16af495848 · outbound

This paper cites Benchmark and application of unsupervised classification approaches for univariate data,.

Machine learning delta-T noise for temperature bias estimation Benchmark and application of unsupervised classification approaches for univariate data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.832625Z

Source-reported events for the cited work

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Observation edf483b7-79a1-4d06-9037-2f55b437e507 · outbound

This paper cites Unravelling the conductance path through single- porphyrin junctions,.

Machine learning delta-T noise for temperature bias estimation Unravelling the conductance path through single- porphyrin junctions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.842758Z

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Observation a51778f5-b803-47a3-9fab-bd36195e95c8 · outbound

This paper cites Making the Most of Nothing: One- Class Classification for Single-Molecule Transport Stud- ies,.

Machine learning delta-T noise for temperature bias estimation Making the Most of Nothing: One- Class Classification for Single-Molecule Transport Stud- ies,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.813940Z

Source-reported events for the cited work

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Observation 05240106-6e60-4841-91c8-a226d0bd1419 · outbound

This paper cites Using Deep Learning to Identify Molecular Junc- tion Characteristics,.

Machine learning delta-T noise for temperature bias estimation Using Deep Learning to Identify Molecular Junc- tion Characteristics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.823548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b105ab29-e6ff-4d15-996b-29ef0a24137f · outbound

This paper cites Neural networks for model- ing electron transport properties of mesoscopic systems,.

Machine learning delta-T noise for temperature bias estimation Neural networks for model- ing electron transport properties of mesoscopic systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.795287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 41c0fbe9-992b-4208-9a28-a3e09a3a5da6 · outbound

This paper cites Modeling electronic quantum transport with machine learning,.

Machine learning delta-T noise for temperature bias estimation Modeling electronic quantum transport with machine learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.804885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95351a83-72ea-4cb0-a164-3f05fccf1b48 · outbound

This paper cites Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model,.

Machine learning delta-T noise for temperature bias estimation Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.775237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bce6c57c-040d-4c5f-acb5-3267e67576b9 · outbound

This paper cites Machine Learning Prediction of DNA Charge Transport,.

Machine learning delta-T noise for temperature bias estimation Machine Learning Prediction of DNA Charge Transport,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.784972Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 39cdfd02-9903-4478-ac85-0ec731d5b390 · outbound

This paper cites Com- bining Multiscale MD Simulations and Machine Learn- ing Methods to Study Electronic Transport in Molecular 18 Junctions at Finite Temperatures,.

Machine learning delta-T noise for temperature bias estimation Com- bining Multiscale MD Simulations and Machine Learn- ing Methods to Study Electronic Transport in Molecular 18 Junctions at Finite Temperatures,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.754976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00797061-1553-4f85-acb2-8664df6f2ec7 · outbound

This paper cites Deep-Learning Approach to First- Principles Transport Simulations,.

Machine learning delta-T noise for temperature bias estimation Deep-Learning Approach to First- Principles Transport Simulations,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.765360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce89a737-b7b2-42d0-8ed7-d79c86744f4b · outbound

This paper cites Optimal control of quantum thermal machines using machine learning,.

Machine learning delta-T noise for temperature bias estimation Optimal control of quantum thermal machines using machine learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.734727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9ec6e87-e85c-4065-ab1b-9abe4d10b972 · outbound

This paper cites Learning Conductance: Gaussian Process Regression for Molecular Electronics,.

Machine learning delta-T noise for temperature bias estimation Learning Conductance: Gaussian Process Regression for Molecular Electronics,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.745063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ed629d42-60ac-4bfa-99c3-727290cbf303 · outbound

This paper cites Identifying optimal cy- cles in quantum thermal machines with reinforcement- learning,.

Machine learning delta-T noise for temperature bias estimation Identifying optimal cy- cles in quantum thermal machines with reinforcement- learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.714503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1e9f580-1ec9-41f5-ac03-fd949830b842 · outbound

This paper cites Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning,.

Machine learning delta-T noise for temperature bias estimation Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.724285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a2b0405-081b-4ca7-b96d-0164e3003755 · outbound

This paper cites Universal bounds on fluctuations in continuous thermal machines,.

Machine learning delta-T noise for temperature bias estimation Universal bounds on fluctuations in continuous thermal machines,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.696393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 516b1ac6-8a61-4b0e-add9-0f1a702069a9 · outbound

This paper cites Optimal control methods for quantum batteries,.

Machine learning delta-T noise for temperature bias estimation Optimal control methods for quantum batteries,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.705004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba21c129-13ec-4fc5-879d-398486166870 · outbound

This paper cites Shot Noise of a Temperature-Biased Tunnel Junction,.

Machine learning delta-T noise for temperature bias estimation Shot Noise of a Temperature-Biased Tunnel Junction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.676630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 640ad89a-c96f-411d-842a-1e5729fa069b · outbound

This paper cites Electronic noise due to temperature difference in atomic-scale junctions,.

Machine learning delta-T noise for temperature bias estimation Electronic noise due to temperature difference in atomic-scale junctions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.687334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9562b148-138f-4d62-aa29-a6c50c55b393 · outbound

This paper cites Electron counting statistics and coherent states of electric cur- rent,.

Machine learning delta-T noise for temperature bias estimation Electron counting statistics and coherent states of electric cur- rent,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.657694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation acf98555-88a8-4576-933e-e39589866ab9 · outbound

This paper cites Universal statistics of transport in disordered conductors,.

Machine learning delta-T noise for temperature bias estimation Universal statistics of transport in disordered conductors,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.667305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54173e1e-ee4f-41dc-bfbe-15520ef10921 · outbound

This paper cites Anomalous electronic shot noise in resonant tunneling junctions.

Machine learning delta-T noise for temperature bias estimation Anomalous electronic shot noise in resonant tunneling junctions

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:38:08.334387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e5b6c7d-ed83-4802-8696-c587cb38a50f · outbound

This paper cites Shot noise in mesoscopic conductors,.

Machine learning delta-T noise for temperature bias estimation Shot noise in mesoscopic conductors,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.647620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fecb293e-d00a-4df5-8ae6-e06c3b8f1de9 · outbound

This paper cites General Bounds on Electronic Shot Noise in the Absence of Currents,.

Machine learning delta-T noise for temperature bias estimation General Bounds on Electronic Shot Noise in the Absence of Currents,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.628127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2f3a1750-30b5-4325-8b06-0826fda82422 · outbound

This paper cites Scattering the- ory of non-equilibrium noise and delta T current fluc- tuations through a quantum dot,.

Machine learning delta-T noise for temperature bias estimation Scattering the- ory of non-equilibrium noise and delta T current fluc- tuations through a quantum dot,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.638169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b7b7a123-6b4b-41e5-b529-6781cab4cb63 · outbound

This paper cites Charge, spin, and heat shot noises in the absence of average currents: Conditions on bounds at zero and finite frequencies,.

Machine learning delta-T noise for temperature bias estimation Charge, spin, and heat shot noises in the absence of average currents: Conditions on bounds at zero and finite frequencies,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.608883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8db825cb-1a2f-41ea-9b12-41a5d72bdb9b · outbound

This paper cites Light emission in delta- T -driven mesoscopic conductors,.

Machine learning delta-T noise for temperature bias estimation Light emission in delta- T -driven mesoscopic conductors,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8027566b-9692-43c2-a722-90843871f060 · outbound

This paper cites Negative Delta-T Noise in the Fractional Quantum Hall Effect,.

Machine learning delta-T noise for temperature bias estimation Negative Delta-T Noise in the Fractional Quantum Hall Effect,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.599051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9c70628-29d2-49d2-8979-63594e46b0dd · outbound

This paper cites $\Delta T$-noise in Multiterminal Hybrid Systems.

Machine learning delta-T noise for temperature bias estimation $\Delta T$-noise in Multiterminal Hybrid Systems

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T05:38:08.192170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ecdaaf-3672-4cf4-9872-d2fb92886242 · outbound

This paper cites Delta- T noise for fractional quan- tum Hall states at different filling factor,.

Machine learning delta-T noise for temperature bias estimation Delta- T noise for fractional quan- tum Hall states at different filling factor,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.579538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 978143dc-e030-4198-8587-96f3e40f4cd3 · outbound

This paper cites Delta- T noise in the Kondo regime,.

Machine learning delta-T noise for temperature bias estimation Delta- T noise in the Kondo regime,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.589320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a71aedfe-caf4-4ef0-ad7b-14253bfa45d3 · outbound

This paper cites The Characterization of Electronic Noise in the Charge Transport through Single-Molecule Junctions,.

Machine learning delta-T noise for temperature bias estimation The Characterization of Electronic Noise in the Charge Transport through Single-Molecule Junctions,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.558668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 58228c75-11c9-4fca-9e22-051b4f624829 · outbound

This paper cites Colored delta-T noise in frac- tional quantum Hall liquids,.

Machine learning delta-T noise for temperature bias estimation Colored delta-T noise in frac- tional quantum Hall liquids,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.568528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43ac1e4f-bfef-463f-93a6-813d0abab843 · outbound

This paper cites Experimen- tal determination of conduction channels in atomic-scale conductors based on shot noise measurements,.

Machine learning delta-T noise for temperature bias estimation Experimen- tal determination of conduction channels in atomic-scale conductors based on shot noise measurements,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.538356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 08f7174c-58ab-4671-ae9a-b838538b1116 · outbound

This paper cites Fast and accurate shot noise measurements on atomic-size junctions in the MHz regime,.

Machine learning delta-T noise for temperature bias estimation Fast and accurate shot noise measurements on atomic-size junctions in the MHz regime,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.548435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a76c0aa0-3707-41a4-ab0b-cd983eae86f2 · outbound

This paper cites Spin dependent transmission of nickelocene-Cu contacts probed with shot noise,.

Machine learning delta-T noise for temperature bias estimation Spin dependent transmission of nickelocene-Cu contacts probed with shot noise,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.517981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1099e019-cf78-4247-9dcb-73c98e7a8199 · outbound

This paper cites Conductance channels of a platform molecule on Au(111) probed with shot noise,.

Machine learning delta-T noise for temperature bias estimation Conductance channels of a platform molecule on Au(111) probed with shot noise,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.528393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5cf4a7da-eb96-4731-90bd-85c92f0ae16c · outbound

This paper cites Revealing channel polarization of atomic contacts of fer- romagnets and strong paramagnets by shot-noise mea- surements,.

Machine learning delta-T noise for temperature bias estimation Revealing channel polarization of atomic contacts of fer- romagnets and strong paramagnets by shot-noise mea- surements,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.497823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5d62602-3e49-46fd-aca4-bfe2d169ac02 · outbound

This paper cites Shot Noise of 1,4-Benzenedithiol Single-Molecule Junctions,.

Machine learning delta-T noise for temperature bias estimation Shot Noise of 1,4-Benzenedithiol Single-Molecule Junctions,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.506766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eeb4066a-c26c-4bc1-a382-59cac7430073 · outbound

This paper cites Evolution of shot noise in suspended lithographic gold break junctions with bias and temperature,.

Machine learning delta-T noise for temperature bias estimation Evolution of shot noise in suspended lithographic gold break junctions with bias and temperature,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.479067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2fb576c1-88fe-4366-aa6d-65a4eecd5b3b · outbound

This paper cites Enhanced noise at high bias in atomic-scale Au break junctions,.

Machine learning delta-T noise for temperature bias estimation Enhanced noise at high bias in atomic-scale Au break junctions,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.488160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 030757ac-0a1d-4460-9452-e479b5b8aa2f · outbound

This paper cites Origin of the Anomalous Electronic Shot Noise in Atomic-Scale Junctions,.

Machine learning delta-T noise for temperature bias estimation Origin of the Anomalous Electronic Shot Noise in Atomic-Scale Junctions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.459871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97e02d11-2912-466c-acb7-90a524d4e40d · outbound

This paper cites Flicker noise as a probe of electronic in- teraction at metal-single molecule interfaces,.

Machine learning delta-T noise for temperature bias estimation Flicker noise as a probe of electronic in- teraction at metal-single molecule interfaces,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.469392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff5cf32c-bb5e-469a-b4c7-2ae564875912 · outbound

This paper cites Theory of light emis- sion from quantum noise in plasmonic contacts: Above- threshold emission from higher-order electron-plasmon scattering,.

Machine learning delta-T noise for temperature bias estimation Theory of light emis- sion from quantum noise in plasmonic contacts: Above- threshold emission from higher-order electron-plasmon scattering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.439656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 574ea460-d53f-4652-84bf-7e61770eb4b1 · outbound

This paper cites Inelastic tunneling effects on noise properties of molecular junc- tions,.

Machine learning delta-T noise for temperature bias estimation Inelastic tunneling effects on noise properties of molecular junc- tions,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.450186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb8d15eb-d9fa-4945-a326-bda48be27891 · outbound

This paper cites Determining Transmission Characteristics from Shot-Noise-Driven Electroluminescence in Single-Molecule Junctions,.

Machine learning delta-T noise for temperature bias estimation Determining Transmission Characteristics from Shot-Noise-Driven Electroluminescence in Single-Molecule Junctions,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.418890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a01965d-5249-4f0d-8bdf-25e66188b821 · outbound

This paper cites Full counting statistics of vibrationally assisted electronic conduction: Transport and fluctuations of thermoelectric efficiency,.

Machine learning delta-T noise for temperature bias estimation Full counting statistics of vibrationally assisted electronic conduction: Transport and fluctuations of thermoelectric efficiency,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.428974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47494446-17ba-432d-98c9-bcf46ed51033 · outbound

This paper cites Comment on “Quantum Suppression of Shot Noise in Atom-Size Metallic Con- tacts,.

Machine learning delta-T noise for temperature bias estimation Comment on “Quantum Suppression of Shot Noise in Atom-Size Metallic Con- tacts,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.397937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9c637f6-e13d-4603-8197-0c566226f8de · outbound

This paper cites Quan- 19 tum Suppression of Shot Noise in Atom-Size Metallic Contacts,.

Machine learning delta-T noise for temperature bias estimation Quan- 19 tum Suppression of Shot Noise in Atom-Size Metallic Contacts,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.408209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4cfaf203-3467-4300-bd87-c5cea1e589ac · outbound

This paper cites Thermal conductance of metallic atomic-size contacts: Phonon transport and Wiedemann-Franz law,.

Machine learning delta-T noise for temperature bias estimation Thermal conductance of metallic atomic-size contacts: Phonon transport and Wiedemann-Franz law,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.378292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be6bbe7c-0678-4120-9e8c-ea9fa23facac · outbound

This paper cites The model basis is a feedforward NN consisting of hidden layer(s) between input and output layers.

Machine learning delta-T noise for temperature bias estimation The model basis is a feedforward NN consisting of hidden layer(s) between input and output layers

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.998647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76b26146-ca12-47ab-8ef1-0aa9edae3d36 · outbound

This paper cites Molecular dynamics study of the ther- mopower of Ag, Au, and Pt nanocontacts,.

Machine learning delta-T noise for temperature bias estimation Molecular dynamics study of the ther- mopower of Ag, Au, and Pt nanocontacts,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.387828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5899b65b-d9ec-4d89-9223-68674cfca73e · outbound

This paper cites Chollet, “Keras”, GitHub, (2015).

Machine learning delta-T noise for temperature bias estimation Chollet, “Keras”, GitHub, (2015)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.368801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74d445cc-01f3-4250-8283-b9b34e5404cb · outbound

This paper cites Delta-T flicker noise demonstrated with molecular junctions,.

Machine learning delta-T noise for temperature bias estimation Delta-T flicker noise demonstrated with molecular junctions,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:08.359015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dce7b5eb-3948-468b-b10b-6752630fa680 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Machine learning delta-T noise for temperature bias estimation Adam: A Method for Stochastic Optimization

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T05:38:08.278291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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