ENERGY-EFFICIENT, LASER-BASED METHOD AND SYSTEM FOR PROCESSING TARGET MATERIAL

Patent №

US 6,281,471

Granted

2001-08-28

Filed 1999

Owner

GSI LUMONICS, INC.

+1 more

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09473926

An energy-efficient method and system for processing target material such as microstructures in a microscopic region without causing undesirable changes in electrical and/or physical characteristics of material surrounding the target material is provided. The system includes a controller for generating a processing control signal and a signal generator for generating a modulated drive waveform based on the processing control signal. The waveform has a sub-nanosecond rise time. The system also includes a gain-switched, pulsed semiconductor seed laser for generating a laser pulse train at a repetition rate. The drive waveform pumps the laser so that each pulse of the pulse train has a predetermined shape. Further, the system includes a laser amplifier for optically amplifying the pulse train to obtain an amplified pulse train without significantly changing the predetermined shape of the pulses. The amplified pulses have little distortion and have substantially the same relative temporal power distribution as the original pulse train from the laser. Each of the amplified pulses has a substantially square temporal power density distribution, a sharp rise time, a pulse duration and a fall time. The system further includes a beam delivery and focusing subsystem for delivering and focusing at least a portion of the amplified pulse train onto the target material. The rise time (less than about 1 ns) is fast enough to efficiently couple laser energy to the target material, the pulse duration (typically 2-10 ns) is sufficient to process the target material, and the fall time (a few ns) is rapid enough to prevent the undesirable changes to the material surrounding the target material.

AI hardwareB23K 26/0736B23K 26/0622B23K 26/0624B23K 26/361B23K 26/40H01L 21/76894H01L 23/5258H10W 20/068+5 more

AI classification

AI hardware0.86
Machine learning0.01
Natural language0.00
Evolutionary computation0.00
Vision0.00
Knowledge representation0.00
Speech0.00
Planning0.00

Ownership

GSI LUMONICS, INC.

assignment · 107330869

GSI GROUP INC.

namechg · 242720965

Assignors

SMART, DONALD V.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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