IP Library › Granted Patent US 12,602,574
Granted Patent B2
US 12,602,574 · App. 17/842,512 · Granted Apr 14, 2026

Network comprising a plurality of oscillators

Inventors: Nele Harnack (Horgen, CH); Bernd W. Gotsmann (Horgen, CH); Siegfried Friedrich Karg (Adliswil, CH)
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
G06N3/063G06N3/049G06N3/065H03L7/00
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,602,574
App. No.
17/842,512
Granted
Apr 14, 2026
Kind
B2
Abstract

A network comprises a plurality of oscillators. The network is configured to control the phase of the plurality of oscillators by thermal coupling through a thermal link.

Claims (26)

1 . A network comprising:

a first plurality of oscillators, wherein the network controls a phase of the first plurality of oscillators by thermal coupling through a thermal link, and wherein one or more thermal separation structures are etched into a substrate of the network and separate the first plurality of oscillators from a second plurality of oscillators.

2 . The network according to claim 1 , wherein the thermal coupling comprises antiphase coupling.

3 . The network according to claim 1 , wherein the thermal coupling comprises in-phase coupling.

4 . The network according to claim 1 , wherein the network comprises a plurality of electrical links for electrically coupling the plurality of oscillators.

5 . The network according to claim 1 , wherein:

the network is a neural network; and

the plurality of oscillators form an oscillating neural network.

6 . The network according to claim 1 , wherein the plurality of oscillators comprises a first oscillator and a second oscillator, wherein the second oscillator is arranged within an antiphase coupling region of the first oscillator.

7 . The network according to claim 1 , wherein the plurality of oscillators comprises a first, a second and a third oscillator, wherein the first, the second and the third oscillator are all arranged within an antiphase coupling region with respect to each other.

8 . The network according to claim 1 , wherein each oscillator of the plurality of oscillators is embodied as a relaxation oscillator.

9 . The network according to claim 1 , wherein each oscillator of the plurality of oscillators comprises a self-heating solid-state phase change device, the self-heating solid-state phase change device comprising a phase change material having a first phase-state and a second phase-state.

10 . The network according to claim 9 , wherein the first phase-state is a low resistance state and the second phase-state is a high resistance state.

11 . The network according to claim 9 , wherein the phase change material is selected from the group consisting of VO2, V4O7, V6O11, V2O3, V6O13, V5O9, VO, V8O15, NbO2, Ti2O3, LaCoO3, Ti3O5, SmNiO3, NdNiO3, PrNiO3 and Fe3O4.

12 . The network according to claim 9 , wherein the plurality of oscillators comprises a first oscillator comprising a first serial arrangement of a first self-heating phase change device and a first serial resistor and second oscillator comprising a second serial arrangement of a second self-heating phase change device and a second serial resistor, wherein the first serial resistor is thermally coupled to the second self-heating phase change device, thereby achieving an unidirectional thermal coupling between the first oscillator and the second oscillator.

13 . The network according to claim 1 , further comprising one or more thermal waveguides for facilitating the thermal coupling.

14 . The network according to claim 1 , wherein the one or more thermal separation structures provide a thermal insulation between two or more oscillators of the plurality of oscillators.

15 . The network according to claim 1 , wherein the network is configured to perform an adaptive thermal coupling between the two or more oscillators of the plurality of oscillators by adapting an oscillation frequency of one or more oscillators of the plurality of oscillators, thereby changing a thermal coupling mode.

16 . The network according to claim 15 , wherein adapting the oscillation frequency comprises changing one or more parameters of electric components of the network.

17 . The network according to claim 15 , wherein adapting the oscillation frequency comprises changing a local or global temperature of a substrate of the network.

18 . The network according to claim 1 , wherein one or more oscillators of the plurality of oscillators comprise two or more tunable resistors, wherein only one of the two or more tunable resistors is thermally coupled to another oscillator of the plurality of oscillators.

19 . A method for running a network comprising a first plurality of oscillators, the method comprising:

controlling a phase of the first plurality of oscillators by thermal coupling through a thermal link, and wherein one or more thermal separation structures are etched into a substrate of the network and separate the first plurality of oscillators from a second plurality of oscillators.

20 . A computer program product for operating a network, the network comprising a first plurality of oscillators and a plurality of thermal links, said computer program product comprising:

a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the network to perform a method comprising:

controlling a phase of the first plurality of oscillators by thermal coupling through the plurality of thermal links, and wherein one or more thermal separation structures are etched into a substrate of the network and separate the first plurality of oscillators from a second plurality of oscillators.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 16, 2022
From: HARNACK, NELE; GOTSMANN, BERND W.; KARG, SIEGFRIED FRIEDRICH
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 060231/0563 →
Continuity (1)
Related Publication 20230409888A1 · Dec 21, 2023
References Cited (24)
US 7280989B1 · Hoppensteadt et al. · 2007 [cited by applicant]
US 11164068B1 · Karg et al. · 2021 [cited by applicant]
US 11861488B1 · Yi · 2024 [cited by examiner]
US 20130335148A1 · Kousai · 2013 [cited by examiner]
US 20190122095A1 · Karg · 2019 [cited by examiner]
US 20200074268A1 · Nikonov · 2020 [cited by examiner]
US 20200160145A1 · Nikonov et al. · 2020 [cited by applicant]
US 20220004876A1 · Karg et al. · 2022 [cited by applicant]
CN 112673383A · 2021 [cited by applicant]
CN 119301867A · 2025 [cited by applicant]
DE 112023002662T5 · 2025 [cited by applicant]
GB 2634672A · 2025 [cited by applicant]
RU 2663546C1 · 2018 [cited by applicant]
WO 2023242638A1 · 2023 [cited by applicant]
Qin et al., “Phase-amplitude coupling in neuronal oscillator networks,” Physical Review Research 3, 023218 (2021), Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 Inter… [cited by applicant]
Velichko et al., “Method of increasing the information capacity of associative memory of oscillator neural networks using high-order synchronization effect,” Petrozavodsk State University, Petrozavodsk, 185910, Russia, … [cited by applicant]
Hauptmann et al., “Demand-controlled desynchronization of oscillatory networks by means of a multisite delayed feedback stimulation,” Springer-Verlag, Comput Visual Sci (2007) 10:71-78, Published Online Dec. 20, 2006, 8… [cited by applicant]
Velichko et al., “Switching Dynamics of Single and Coupled VO2-BASED Oscillators as Elements of Neural Networks,” Department of Physics and Technology, Petrozavodsk State University, Russia, Printed Jun. 13, 2022, 33 pa… [cited by applicant]
Velichko et al., “Modeling of thermal coupling in VO2-based oscillatory neural networks,” Elsevier, Solid-State Electronics, vol. 139, Jan. 2018, pp. 8-14, https://doi.org/10.1016/j.sse.2017.09.014 (Abstract Only). [cited by applicant]
Shukla et al., “Synchronized charge oscillations in correlated electron systems,” Scientific Reports, Published May 14, 2014, 6 pages, DOI: 10.1038/srep04964. [cited by applicant]
Velichko et al., “Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators,” Solid-State Electronics, Petrozavodsk State University, Petrozavodsk, 185910, Russia, Printed Jun. … [cited by applicant]
Velichko et al., “A Model of an Oscillatory Neural Network with Multilevel Neurons for Pattern Recognition and Computing,” MDPI, Electronics, 2019, 26 pages. [cited by applicant]
International Search Report, International Application No. PCT/IB2023/053114, Aug. 10, 2023, 6 pgs. [cited by applicant]
Unknown, “Hardware for AI”, Retrieved from: https://web.archive.org/web/20180829173926/https://www.research.ibm.com/artificial-intelligence/hardware/#focus-areas, Retrieved on: Aug. 29, 2018, 5 pages. [cited by applicant]