Fujifilm had 37 patents in advanced materials during Q2 2024. Fujifilm Holdings Corp filed patents related to creating drive waveforms for liquid ejection heads using machine learning models, optimizing head models for simulating liquid ejection behavior, and developing laminated piezoelectric elements to prevent electrode layer breakage. Additionally, patents were filed for piezoelectric films with protective layers to prevent dielectric breakdown and ultrasound transducer assemblies with matching layers and filler materials. GlobalData’s report on Fujifilm gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Fujifilm had no grants in advanced materials as a theme in Q2 2024.
Recent Patents
Application: Drive waveform creation method, information processing apparatus, and program (Patent ID: US20240198666A1)
The patent filed by Fujifilm Holdings Corp. describes a method for creating a drive waveform to efficiently eject liquid using a liquid ejection head with a piezoelectric element. The method involves predicting the flight of the liquid based on machine learning models trained with data related to the actual flight shape of the liquid when different drive waveforms are applied to the piezoelectric element. By determining a suitable drive waveform for liquid ejection based on these predictions, even technicians without professional knowledge can create effective drive waveforms.
The drive waveform creation method includes parameters such as pulse width, slope, pulse height, and pulse interval. The machine learning model compresses drive waveforms into a latent space for prediction, with the evaluation value based on the actual flight shape. The evaluation value can indicate droplet speed, amount, or the presence of satellite droplets. The method also involves generating unknown drive waveforms, calculating coordinates in the latent space, predicting evaluation values, and determining a drive waveform that meets target criteria. Additionally, an information processing apparatus executing this method includes processors and storage devices with the machine learning model, while a computer-readable recording medium contains a program for implementing the drive waveform creation method.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
