Tuning Molecular Network Conductance via Nanoscale Probes

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Solution Overview

Problem

Current methods for tuning the local electrical conductance of molecular networks are limited in precision and scalability, hindering their application in artificial neural networks, particularly in hardware implementations where precise control of molecular entities is required for training and inference tasks.

Innovation Solution

A method involving nanoscale probes to alter the electrical conductance of molecular networks by atom manipulations, such as heating and passing currents through molecular entities, allowing for the tuning of hybridization states of carbon atoms, enabling the creation of trained neural network hardware devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If scanning probe microscopy techniques are used to tune molecular networks, then manufacturing precision is improved, but device complexity increases

Engineering Contradiction:

Improvetuning precision of molecular conductanceVSAvoidcomplexity of probe-based tuning system

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the tuning process into discrete steps using a scanning probe that can independently adjust individual molecular junctions. Each probe action targets specific molecular entities separately, enabling precise control of conductance values one by one, thus achieving high manufacturing precision through segmented manipulation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The scanning probe acts as an intermediary tool between the control system and the molecular network. It mediates the tuning process by physically interacting with individual molecular junctions to adjust their conductance, thereby enabling precise control without requiring direct complex manipulation of each molecular entity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Manufacturing precision

If nanoscale probes are used for atom manipulations, then manufacturing precision is improved, but productivity decreases

Engineering Contradiction:

Improveprecision of conductance tuningVSAvoidtuning speed of molecular network

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The patent employs preliminary action by pre-positioning the scanning probe and pre-planning the tuning sequence before actual conductance adjustment begins. The probe is brought into position and the tuning parameters are prepared in advance, allowing the actual manipulation to proceed efficiently with minimal delays, thus balancing precision with improved productivity.

Inventive Principle:

Principle #10Preliminary action

3Loss of energy

If molecular networks are used for neural networks, then energy dissipation is reduced, but manufacturing precision requirements increase

Engineering Contradiction:

Improveenergy dissipation in neural networkVSAvoidprecision of molecular entity control

Core Design Contradiction:

Loss of energyVSManufacturing precision

Solution Approach 1:

The patent utilizes parameter changes by adjusting the conductance values of molecular junctions to different discrete levels. By changing the electrical conductance parameter of individual molecular entities, the system encodes neural network weights with high precision while maintaining low energy dissipation, as the molecular structures themselves serve as the storage medium rather than requiring continuous power for maintenance.

Inventive Principle:

Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables the precise tuning of molecular networks to achieve a large number of potential configurations, allowing them to be trained and used for inference purposes with low energy dissipation and high connectivity, suitable for neural network applications.

Implementation Method 1

The electrical conductance of such molecular entities may notably be altered by atom manipulations, using heating techniques

Methodology Applied

Scientific EffectHeating: Heating

Implementation Method 2

passing a current through branches of the molecular entities, via one or more nanoscale probes

Methodology Applied

Scientific EffectJoule heating: Joule Heating

Data Source

PatentUS11823032B2Tuning local conductances of molecular networks: applications to artificial neural networks

Publication Date: 2023.11.21 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method for tuning the conductance of a molecular network includes a network of covalently bound molecular units, which are molecular entities assembled so as to form a network that can typically be compared to a finite, imperfect 2D crystal. Each of the molecular entities includes: a branching junction; M branches (M≥3) branching from said branching junction, where each of the M branches comprises an aliphatic group; and M linkers, each terminating a respective one of the M branches. Each of the M linkers is covalently bound to a linker of another molecular entity of the network. The method involves tuning the electrical conductance of molecular entities of a subset of the molecular entities of the network, in one or several (e.g., parallel or successive) steps.